What's new

Option's for PAF ?

i think j 10 b have no match for refale
PAF should go for j 11 flanker

Why can't the J-10B match the Rafale? Why jump to such premature conclusions without knowing the full details of both platforms?

The J-10B sports a 1152-module AESA radar, IRST, RAM, MAWS, i.e. most of the gadgets that are hallmarks of a 4+ generation fighter. The J-11A/B has lost repeatedly to the J-10A during simulated dogfights and there are no indications to its alleged "superiority" over the J-10B, at least in the realm of air-to-air combat.

J-31 is Moot plane very distance from reality it has many shortcomings that's why PLAAF is interested in J-20 for it requirements.

If you pit it against mature rafale you will find it will give it run for his life that's how mature Industrial base of Western posses. let's just be Honest China is still not able stand completely on its feet in aviation need Russians for assistance unlike west they have very mature technical base.

That's why you can expect see there Aircrafts to compete with best of East with so ease.

"Maturity" has no effect on a platform's performance; each aerospace company goes at its own pace and its ability to earn, develop, and apply such principles is effectively independent of how "mature" or "proven" its supply chains are.

NO sorry China Can't compete with Western or even with Russian in current time maybe in 2 decades

The main lack For Chinese is their lack of interest in Innovation. Reverse engineering will get you pace but in the End it's innovative ideas that make difference that's what make Western's different from all other world.

Innovation does not preclude adopting successful design philosophies from others; almost all great scientists and researchers stood on the shoulders of giants one way or another.

Very true . IAF is set to match PLAAF in their own number game . As nearly 1000 + are very old fighter jets like J6/7 etc .

On J10 front it's an old airframe too .

If a 1998 fighter is "old" then India might want to retire her entire air force.

J11 as you know is a ripoff .

Airframe-wise, perhaps, but the J-11B adopts a unique set of subsystems and thus cannot be considered a part of Sukhoi's family.

Their Su 27/30MKK are very inferior to IAF Su30MKI .

Does it matter when 140+ of the new J-11B/15/16 are in production?

J31 is a joke .

Elaborate.

I could be very much interested in J20 as it resembles Mig 1.35 of dropped Russian stealth fighter of mig . And shares lots of similarities to F22 .

Why? Because they all adopt canted stabilizers, planform alignment, and chined noses?

But stealth and performance is just more the resemblances of F22 or PakFa .

Do you have RCS or engineering lab values to back that claim up?

On other hand Future plan for IAF is very impressive . Mix of Western Avionics and Russian Power . In future PLAAF will have to replace more than 60-70% of its fleets . So IAF will match or even overtake Chinese in numbers . In not so distant future.

That would be under the assumption that the Chinese aren't replacing and supplementing their retiring jets, which, of course, would be absurd under any context.

Oh yes I have heard of HQ-9.....A Chinese copy of S-300(which btw India has.)..
but you don't have it.

LY-60/80 - Pls we are talking about modern long range SAMs ..not upgraded 60s tech...with 18Km range(the export version).

So you haven't heard of the HQ-9.

That issue is still alive

AL 31 is NOT available and WS 10 is not ready

The WS-10 has been ready since 2009; it serves aboard the J-11B/15/16 aircraft.

They may be designed for that but that doesn't mean they can get the job done.I'm designed for being a billionaire but it's not panning out for me so far.

The only way a J10B can take on the Rafale is on a 5/1 scenario.1 Rafale with 4 MICA/METEOR=4 J10 kills,than after Rafale runs out of AA missiles the 5th J10 has a fighting chance.

On topic :to match the Rafale nothing short of latest F15's,F16 Blk61,Eurofighters,F35's can get the job done.Anything else,i'm afraid is just a sitting duck.

A bit rash to make such a judgement without further insight into the technical details of the said aircraft, eh?
 
J-10 B is a single engine fighter, Rafale can carry more weapons

True, although one still has to take into account what sort of role these jets will play in a South Asian theater.

load, and also bit more manoeuvrable.

Are there turn/climb/whatnot rate values to support that?

Rafale can be configured for many types of missions, J-10 B cannot be ....

What makes you think the J-10B isn't as multirole?

Rafale thumps J-10 B or what ever easily.

I think both you and I know that statement doesn't stand by itself.

Compare the specs of the two fighter jets before you draw conclusions.

Which is what you should have done before you drew yours.

Do you honestly think china has anything comparable to the rafale, by the way i'm not indian, i'm not saying india beats china in the war but theres nothing in the PLAAF that can challenge the Rafale, J-10 and J-11 are technologically inferior to the rafale,

And do you have access to every bit of detail regarding the J-10B, J-11B, and the Rafale? How would one know, for example, if the J-10B's radar is comparable to the RBE2? How would you compare the kinematics of the two platforms without knowing their climb rates, turn rates, and similar values? How would you know how these planes would fare against each other without dissecting their electronics?

Until further light is shed on the three aforementioned aircraft, any comparison is nothing but hot air.

And you agreed in there.Chinese are still far behind than EU.
Only superiority that Chinese have is the flooding of others market with Junk Goods.EU is playing with most advanced technology for domestic consumption and also for exports. .Look at their AirBus ,EF or Rafale.China is still decades away from them.

That would be quite the sweeping generalization, especially when it was made from a single fantastical comparison between the J-10B and the Typhoon or Rafale.

On a different note, the J-10B actually bears very similar upgrade schemes as those of the Typhoon and Rafale.
 
Nor any plane that can counter the > 200 SU-30MKIs. :azn: So you guys have a lot of catching-up to do! And that my friend is gonna bleed your economy dry. An arms race with India isn't feasible. The sooner you realize it the better. :P
With only 55% availability ratio I'll count them not more than 90
 
If Pakistanis want to counter Rafael, they need to get Eurofighter(best choice) , or F-15 SE , or F/A-18SH. The chinese junk would not do much against a EuroCanrd.

I'd love to hear your technical reasoning behind this.

To counter IAF's 5th gen (FGFA) or IN's fifth gen (F-35C), PAF would need F-35A (Best option), or J-31 (poor man's stealth).

As above, please elaborate on your hypothesis.

J11b will squash Rafale like a mosquito in the summer night.

No.

For engaging J 11 we dont need Rafale our Su MKI can do that.



Well .That is not more than a cheerleading .Even Chinese wouldnt agree that their tech is better than EU.
Mere copy paste and espionage cant substitiute the real experienceor real success and failure.

Again with the "copy and paste" allegations; form following function doesn't equal the former.

EU fighters especially French already seen a lot of real time war.Ask to your own PA ,aftr all they knows a lot about the mirage from Kargil.
Rafale seen its excellent performance in Libyan war.
What about the Chinese ?AFAIK theirs one and only customer is Pakistan.

As far as I know, the Rafale only has one confirmed non-French customer as of this moment: Egypt.



You are talking about the US .They know what they are doing.During Coldwar they exaggerated a lots about Mig 25 Foxbat and created F 15 .But in reality F 15 was more better than Mig 25.

The term "better" should never be used in a comparison between such complex and mission-specific systems.

:-)Then you should posted some link or source:o::o:o_O
sorry for disturbing your sleep


Its J-10b not I-10b
Even su-30MKI is capable to give perfect punch to J-10b

And the MiG-21 is capable of defeating the Su-27 given the right circumstances; what is your point?

Sometime back there was a news about J 11 BEATING J 10 in a PLAAF exercise

The J-10A defeats the J-11 series far more regularly than the reverse has happened, and even then mock dogfights are very limited indicators to the comprehensive capabilities of either systems.

Now SU 30 MKI is clearly better than J 11

Elaborate.

And Eurofighter is slightly better than Su 30 MKI

So now you do the math

The Eurofighter and Su-30MKI are apples and oranges.

You know what even J 20 will not be able to match RAFALE

Elaborate.

A guy having common sense cant simply compare an established war machine with an established indystry with that of nascent techof China.

Nations go about modernization at different paces, and bearing in mind the development of their fighter families since the late 1990s, there is no reason to say that a comparison cannot be made.
 
And nair what u have.your own ,,,LCA ha ha,,, 30 years and going on.
LCA program issuccessful and Fighter is inducted and in serial production.

These low quality copies shot down some of your best fighters of the time.



Oh really ??When did they shotdown our fighters ?

True, although one still has to take into account what sort of role these jets will play in a South Asian theater.



Are there turn/climb/whatnot rate values to support that?



What makes you think the J-10B isn't as multirole?



I think both you and I know that statement doesn't stand by itself.



Which is what you should have done before you drew yours.



And do you have access to every bit of detail regarding the J-10B, J-11B, and the Rafale? How would one know, for example, if the J-10B's radar is comparable to the RBE2? How would you compare the kinematics of the two platforms without knowing their climb rates, turn rates, and similar values? How would you know how these planes would fare against each other without dissecting their electronics?

Until further light is shed on the three aforementioned aircraft, any comparison is nothing but hot air.



That would be quite the sweeping generalization, especially when it was made from a single fantastical comparison between the J-10B and the Typhoon or Rafale.

On a different note, the J-10B actually bears very similar upgrade schemes as those of the Typhoon and Rafale.

Then I would say American jets is too badthan Chinese.Is that correct?
Google and read about the entire MMRCA .We had invited established
best 4.5 gen aircraft for contest.In that evaluation we had evalute 600 paramaters of all of them.
Russian Mig ,American F 18 and F 16, Saab Gripen all of them are rejected .
EF was better than Rafale but EF is too expensive and it was a four nation consortium.So we choose Rafale.Of Course both EF and Rafale cant meet all those 600 parameters .Only F 22 can do that .
But both of that better than others.
Rafale did a good job in Libya as a multirole fighter.
And they have the same influence of Mirage .We knows the capability of Mirage due to Kargil war .
AFAIK J 10 dont have these impeccable record.We dont underestimate anything.But IAF is a professional force.They know what they are doing.
 
Then I would say American jets is too badthan Chinese.Is that correct?
Google and read about the entire MMRCA .We had invited established
best 4.5 gen aircraft for contest.In that evaluation we had evalute 600 paramaters of all of them.
Russian Mig ,American F 18 and F 16, Saab Gripen all of them are rejected .
EF was better than Rafale but EF is too expensive and it was a four nation consortium.So we choose Rafale.Of Course both EF and Rafale cant meet all those 600 parameters .Only F 22 can do that .
But both of that better than others.
Rafale did a good job in Libya as a multirole fighter.
And they have the same influence of Mirage .We knows the capability of Mirage due to Kargil war .
AFAIK J 10 dont have these impeccable record.We dont underestimate anything.But IAF is a professional force.They know what they are doing.

Why are you interpreting this as a black-and-white issue? Just because there isn't enough authoritative evidence to suggest one is "better" (that's a terrible word to use in such comparisons) than the other does not validate the reverse.

How can one "establish" the "top" aircraft rankings when little is known about any of the aforementioned jets?

"Combat records" has not, do not, and will not affect the system's performance in any way and is not an indicator of technological capability.
 
True, although one still has to take into account what sort of role these jets will play in a South Asian theater.
- Air-defence / air-superiority,

- Anti-Access/Area Denial,

- Reconnaissance,

- Close air support,

- Dynamic Targeting,

- Air-to-ground precision strike / interdiction,

- Anti-ship attacks,

- Nuclear deterrence,

– buddy-buddy refueling.
roles of rafale are far more than multirole fighter
Are there turn/climb/whatnot rate values to support that?
Overall empty weight 10 t (22,000 lbs) class
Max. take-off weight 24.5 t (54,000 lbs)
Fuel (internal) 4.7 t (10,300 lbs)
Fuel (external) up to 6.7 t (14,700 lbs)
External load 9.5 t (21,000 lbs)
Store stations:
Total -14
Heavy-wet 5

Performance:
Max. thrust -2 x 7.5 t
Limit load factors -3.2 g / +9 g
Max. speed M = 1.8 / 750 knots
Approach speed less than -120 knots
Landing ground run 450 m (1,500 ft) without drag-chute
Service ceiling 50,000 ft
i dont need to speak for J-10 B......u know pretty better.the amount of payload exceeds by 6000kg, 14 hardpoints vs 11 hardpoints.....speaks for the weapons loading capacity.
What makes you think the J-10B isn't as multirole?
no one thinks like that, its a multirole but rafale is omnirole.
I think both you and I know that statement doesn't stand by itself.
rafale definitely has edge over everything J 10 B has to offer.......weapons, radar, avionics, max G load by -0.2....that can be worst case......
1 – RBE2 / AESA – “Active Electronically Scanned Array” radar
RBE2_AESA_in_Rafale-584x383.jpg


The RAFALE is the first operational – and so far, the only – European combat aircraft to use an electronic scanning radar.With its superior beam agility and its enormous computing power, the RBE2 offers outstanding performance that cannot be replicated by mechanical scanning radars.
The RBE2-AESA is fully compatible in terms of detection range with the upcoming long range METEOR air-to-air missile. The AESA offers an unprecedented growth-potential for the future.
Other sensors:
2 “Front Sector Optronics” – FSO
5833397kjhodjd48.jpg

3 SPECTRA – internal Electronic Warfare suite
cigare.jpg

4 DAMOCLES – Laser designation pod

5 AREOS – Recce pod – with real-time transmission

rafale has the strongest multisensor data fusion does J 10B even support something like that????
weapon is something that can come in handy during dog fights rafale leads here too......
The mission system of the RAFALE has the potential to integrate a variety of current and future armaments.

The RAFALE has been cleared to operate the following weapons:


    • The MICA air-to-air “Beyond Visual Range” (BVR) interception, combat and self-defence missiles, in their IR (heat-seeking) and EM (active radar homing) versions. The MICA can be used within visual range (WVR) and beyond visual range (BVR).

    • The HAMMER (standing for Highly Agile and Manoeuvrable Munition Extended Range)modular, rocket-boosted air-to-ground precision guided weapon series, fitted with INS/GPS or INS/GPS/IIR (imaging infra-red) guidance kits, or with the upcoming INS/GPS/laser guidance kit.
    1. The SCALP long-range stand-off missile,

    • The AM39 EXOCETanti-ship missile,http://data:image/jpeg;base64,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 http://data:image/jpeg;base64,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

    • Laser-guided bombs,

    • The 2500 rounds/min NEXTER 30M79130 mm internal cannon, available on both single and two-seaters,
    • The upcoming METEOR long-range air-to-air missile.http://data:image/jpeg;base64,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 http://data:image/jpeg;base64,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
The RAFALE‘s stores management system is Mil-Std-1760 compliant, which provides for easy integration of customer-selected weapons.

With its 10-tonne empty weight, the RAFALE is fitted with 14 hard points (13 on the RAFALE M). Five of them are capable of drop tanks and heavy ordnance. Total external load capacity is more than nine tonnes (20,000 lbs.).

“Buddy-buddy” refueling missions can be carried out in portions of the airspace out of reach of dedicated and vulnerable tanker aircraft.

With its outstanding load-carrying capability and its advanced mission system, the RAFALE can carry out both air-to-ground strikes, as well as air-to-air attacks and interceptions during the same sortie.

It is capable of performing several actions at the same time, such as firing air-to-air missiles during a very low altitude penetration phase: a clear demonstration of the true “OMNIROLE” capability and outstanding suitability of the RAFALE.

I would like to put some light on J 10 B too, but thats up to you......it doesnt allow me to post more than 5 photos sorry for that
 
- Air-defence / air-superiority,

- Anti-Access/Area Denial,

- Reconnaissance,

- Close air support,

- Dynamic Targeting,

- Air-to-ground precision strike / interdiction,

- Anti-ship attacks,

- Nuclear deterrence,

– buddy-buddy refueling.
roles of rafale are far more than multirole fighter

Overall empty weight 10 t (22,000 lbs) class
Max. take-off weight 24.5 t (54,000 lbs)
Fuel (internal) 4.7 t (10,300 lbs)
Fuel (external) up to 6.7 t (14,700 lbs)
External load 9.5 t (21,000 lbs)
Store stations:
Total -14
Heavy-wet 5

Performance:
Max. thrust -2 x 7.5 t
Limit load factors -3.2 g / +9 g
Max. speed M = 1.8 / 750 knots
Approach speed less than -120 knots
Landing ground run 450 m (1,500 ft) without drag-chute
Service ceiling 50,000 ft
i dont need to speak for J-10 B......u know pretty better.the amount of payload exceeds by 6000kg, 14 hardpoints vs 11 hardpoints.....speaks for the weapons loading capacity.

no one thinks like that, its a multirole but rafale is omnirole.

So, if you can't speak for the J-10B, then what's your rationale for saying that the Rafale is "better" than it in this regard?

rafale definitely has edge over everything J 10 B has to offer.......weapons, radar, avionics, max G load by -0.2....that can be worst case......
1 – RBE2 / AESA – “Active Electronically Scanned Array” radar
RBE2_AESA_in_Rafale-584x383.jpg


The RAFALE is the first operational – and so far, the only – European combat aircraft to use an electronic scanning radar.With its superior beam agility and its enormous computing power, the RBE2 offers outstanding performance that cannot be replicated by mechanical scanning radars.
The RBE2-AESA is fully compatible in terms of detection range with the upcoming long range METEOR air-to-air missile. The AESA offers an unprecedented growth-potential for the future.

The J-10B operates an AESA radar as well.

Other sensors:
2 “Front Sector Optronics” – FSO
5833397kjhodjd48.jpg

3 SPECTRA – internal Electronic Warfare suite
cigare.jpg

4 DAMOCLES – Laser designation pod

5 AREOS – Recce pod – with real-time transmission
rafale has the strongest multisensor data fusion does J 10B even support something like that????
weapon is something that can come in handy during dog fights rafale leads here too......
The mission system of the RAFALE has the potential to integrate a variety of current and future armaments.

The J-10B does have data fusion (most modern fighters do). A comparison between the systems of the two platforms is and will remain a mystery until classified information is released, the prospect of which is unlikely.

The RAFALE has been cleared to operate the following weapons:

    • The MICA air-to-air “Beyond Visual Range” (BVR) interception, combat and self-defence missiles, in their IR (heat-seeking) and EM (active radar homing) versions. The MICA can be used within visual range (WVR) and beyond visual range (BVR).

    • The HAMMER (standing for Highly Agile and Manoeuvrable Munition Extended Range)modular, rocket-boosted air-to-ground precision guided weapon series, fitted with INS/GPS or INS/GPS/IIR (imaging infra-red) guidance kits, or with the upcoming INS/GPS/laser guidance kit.
    1. The SCALP long-range stand-off missile,

    • The AM39 EXOCETanti-ship missile,http://data:image/jpeg;base64,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 http://data:image/jpeg;base64,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

    • Laser-guided bombs,

    • The 2500 rounds/min NEXTER 30M79130 mm internal cannon, available on both single and two-seaters,
    • The upcoming METEOR long-range air-to-air missile.http://data:image/jpeg;base64,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 http://data:image/jpeg;base64,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
The RAFALE‘s stores management system is Mil-Std-1760 compliant, which provides for easy integration of customer-selected weapons.

With its 10-tonne empty weight, the RAFALE is fitted with 14 hard points (13 on the RAFALE M). Five of them are capable of drop tanks and heavy ordnance. Total external load capacity is more than nine tonnes (20,000 lbs.).

“Buddy-buddy” refueling missions can be carried out in portions of the airspace out of reach of dedicated and vulnerable tanker aircraft.

With its outstanding load-carrying capability and its advanced mission system, the RAFALE can carry out both air-to-ground strikes, as well as air-to-air attacks and interceptions during the same sortie.

It is capable of performing several actions at the same time, such as firing air-to-air missiles during a very low altitude penetration phase: a clear demonstration of the true “OMNIROLE” capability and outstanding suitability of the RAFALE.

I would like to put some light on J 10 B too, but thats up to you......it doesnt allow me to post more than 5 photos sorry for that

It is agreed upon, in a prior post, that the Rafale does carry more weapons than the J-10B. However, the importance thereof, and hence the impact thereof on the aircraft's value, is hugely dependent on the context in which it will be used. Granted, the Rafale does offer a larger weapons load if the mission is a strike-oriented one. In air-to-air scenarios, however, the discrepancy exerts a much smaller effect.

Regarding weapons, nothing authoritative can be said until we get a closer look at the J-10B's weapons loadout.
 
There's a limit to being a devoted fan boy, firstly what combat experience does the Rafale has, apart from some exercises and ad hock ground attack sorties, like your MKI, it doesn't have a single kill to it's name.
Talking about exercises, PAF F-16s have repeatedly shot down EF Typhoons which in Indra Danush made mince meat of the MKI..... what does that tell us.
No doubt Rafale must be a potent aircraft, which the PAF both tested and exercised with a decade earlier.
In their excitement, most people seem to over look the fact is that at the end of the day, a plane is only good as the pilot.


PAF tested all those jets including F 22?? and your point is?? PAF Got few blk 52 standard birds.. Not Blk 60 standard .. you might tested Rafael Decade ago.. but the point is you tested a decade ago..From where you gonna pay ?? are you doubting french tech are inferior to Chinese ?? who can make just replica of Russian birds.. in Pakistani words upgraded version. .. none of Chinese jets are Battle proven .. not even participated in any exercises. . unlike Rafael.. you guys come up with lame excuses. . Pakistanis are good at claims.. previously i seen Pakistani members discussing j10b offers nothing new over jf 17.. suddenly J10A become on par with Rafael and J 10B superior to Rafael... poor french tech.. became inferior to Chinese because India buying Rafael. ..
 
PAF tested all those jets including F 22?? and your point is?? PAF Got few blk 52 standard birds.. Not Blk 60 standard .. you might tested Rafael Decade ago.. but the point is you tested a decade ago..From where you gonna pay ?? are you doubting french tech are inferior to Chinese ?? who can make just replica of Russian birds.. in Pakistani words upgraded version. .. none of Chinese jets are Battle proven .. not even participated in any exercises. . unlike Rafael.. you guys come up with lame excuses. . Pakistanis are good at claims.. previously i seen Pakistani members discussing j10b offers nothing new over jf 17.. suddenly J10A become on par with Rafael and J 10B superior to Rafael... poor french tech.. became inferior to Chinese because India buying Rafael. ..

:blah: :blah: :blah:
Who said that PAF has tested the F-22, yes it has exercised with or against it..... hope you know the difference.
Before commenting, first acquire some knowledge on the system..... the Block-52 is the latest version of the F-16, no other country operates Block-60s except UAEAF. No one said French weapon system are inferior but now since India is buying it, it's obviously nothing less than Alien technology..... and it was very much the Chinese F-7PGs which exercised with the F-22,... Block-60,.... Mirage-2000....and other F-16..... and you may want to enlighten yourself with combat kills of F-6..the inferior Chinese copy of MiG-19 which just happen to shoot down your superior MiG-21.

F-16_Mirage_2000_F-7PG_during_exercise.JPG
 
:blah: :blah: :blah:
Who said that PAF has tested the F-22, yes it has exercised with or against it..... hope you know the difference.
Before commenting, first acquire some knowledge on the system..... the Block-52 is the latest version of the F-16, no other country operates Block-60s except UAEAF. No one said French weapon system are inferior but now since India is buying it, it's obviously nothing less than Alien technology..... and it was very much the Chinese F-7PGs which exercised with the F-22,... Block-60,.... Mirage-2000....and other F-16..... and you may want to enlighten yourself with combat kills of F-6..the inferior Chinese copy of MiG-19 which just happen to shoot down your superior MiG-21.

F-16_Mirage_2000_F-7PG_during_exercise.JPG



i come across lots of threads since years.. i know who is good at claims from unknown alien source. ... no blk 52 isn't that latest. . in fact PAF got second hand version. ..rafale comes with awesome weapon package. . EW and Avionics. .. rafale is in different league unlike j 10a,b..... x y z...Few years ago some members claimed 150 jf 17 I, II,III ....by 2015-16 ... including 5th gen jf 17 by 2019-20..

:blah: :blah: :blah:
Who said that PAF has tested the F-22, yes it has exercised with or against it..... hope you know the difference.
Before commenting, first acquire some knowledge on the system..... the Block-52 is the latest version of the F-16, no other country operates Block-60s except UAEAF. No one said French weapon system are inferior but now since India is buying it, it's obviously nothing less than Alien technology..... and it was very much the Chinese F-7PGs which exercised with the F-22,... Block-60,.... Mirage-2000....and other F-16..... and you may want to enlighten yourself with combat kills of F-6..the inferior Chinese copy of MiG-19 which just happen to shoot down your superior MiG-21.

F-16_Mirage_2000_F-7PG_during_exercise.JPG



i come across lots of threads since years.. i know who is good at claims from unknown alien source. ... no blk 52 isn't that latest. . in fact PAF got second hand version. ..rafale comes with awesome weapon package. . EW and Avionics. .. rafale is in different league unlike j 10a,b..... x y z...Few years ago some members claimed 150 jf 17 I, II,III ....by 2015-16 ... including 5th gen jf 17 by 2019-20..
 
PAF tested all those jets including F 22?? and your point is?? PAF Got few blk 52 standard birds.. Not Blk 60 standard .. you might tested Rafael Decade ago.. but the point is you tested a decade ago..From where you gonna pay ?? are you doubting french tech are inferior to Chinese ?? who can make just replica of Russian birds.. in Pakistani words upgraded version. .. none of Chinese jets are Battle proven .. not even participated in any exercises. . unlike Rafael.. you guys come up with lame excuses. . Pakistanis are good at claims.. previously i seen Pakistani members discussing j10b offers nothing new over jf 17.. suddenly J10A become on par with Rafael and J 10B superior to Rafael... poor french tech.. became inferior to Chinese because India buying Rafael. ..
Can Rafale take on J20, definitely no.

india buys a expensive toy and think its the best in the world.loL

J20 adopts plasma stealth tech,does Rafale have?

no matter how advanced Rafale is, it is only 4.5 gen.
 
Can Rafale take on J20, definitely no.

india buys a expensive toy and think its the best in the world.loL

J20 adopts plasma stealth tech,does Rafale have?

no matter how advanced Rafale is, it is only 4.5 gen.
He was talking about J10 Where does J20 Come in ?? Get in inducted first
 
i come across lots of threads since years.. i know who is good at claims from unknown alien source. ... no blk 52 isn't that latest. . in fact PAF got second hand version. ..rafale comes with awesome weapon package. . EW and Avionics. .. rafale is in different league unlike j 10a,b..... x y z...Few years ago some members claimed 150 jf 17 I, II,III ....by 2015-16 ... including 5th gen jf 17 by 2019-20..

Now that your earlier claims have been busted, safe for you to change goal posts. !!!
Talk about the Rafale, once it becomes operational with IAF.
As for JF-17, two squadron operational and now proving it's mettle with CCS....with Block-2 rolling off the production line, care to comment on your own achievement...... how many times has the Tejas missed it's dates and how many years it's running late. Mehhhhhhhhh
 

Pakistan Affairs Latest Posts

Back
Top Bottom