IPL 2026 ยท Match 71 ยท LEAGUE
PBKS
Punjab Kings
VS
GT
Gujarat Titans
Date TBA ยท Time TBA
๐Ÿ“ Schedule TBA โ€” Phase 2 pending BCCI announcement
Provisional Scenario: This analysis is based on projected fixtures. Official schedule for this match has not been confirmed by BCCI. Teams, date, and venue are subject to change.
Match Brief
Rabada + Siraj on a Seaming Mohali Deck โ€” Can PBKS' Rebuilt Batting Survive GT's Pace Trident?
PBKS 43%
GT 57%
Uncertainty: ยฑ6% โ€” late-season form data available, but playoff pressure warps projections
PBKS
153-183
PROJECTED
GT
157-187
Dew
moderate
Pitch
pace-friendly
Boundaries
medium
Match 71 is where seasons are decided. GT's pace quality on Mohali's seam-friendly surface is the structural edge โ€” but PBKS at home under pressure have historically produced upsets.
Data cutoff: Date TBA ยท Model: v1.0-baseline-2026

๐Ÿ”ฅ What to Watch

Powerplay (1-6)
Rabada vs Prabhsimran Singh โ€” Rabada's IPL PP strike rate is a wicket every 12 balls. Mohali's lateral movement in the first hour makes this the game's inflection point. If PBKS lose 2+ in the PP, GT coast.
Middle Overs (7-15)
Rashid Khan on a pitch that offers variable bounce. PBKS' middle order (Shreyas, Stoinis, Shashank) needs to rotate strike โ€” Rashid's dot ball % in middle overs (42%) suffocates momentum. Stoinis' ability to hit Rashid over the top is PBKS' only counter.
Death (16-20)
Arshdeep Singh defending at Mohali vs Buttler/Gill finishing. Arshdeep's yorker accuracy at home is elite (78% hit zone), but Buttler's SR in overs 16-20 (185+) means one missed yorker = 18 runs. The margins are razor-thin.
๐ŸŒถ๏ธ Hot Take
PBKS are everyone's "easy 2 points" prediction โ€” and that's exactly why they'll win this. The Mohali crowd in a must-win has produced 3 of PBKS' biggest upsets in IPL history.
Late-season PBKS home games have a 55% win rate when their playoff hopes are alive (vs 38% overall). Desperation + Arshdeep's home form = a genuine 43% that could flip. GT's away record in must-win scenarios for the opponent is 2-4.
๐Ÿ”ฌ The Lab โ€” Deep Dive

Why GT at 57%

Modelv1.0-baseline-2026
Data CutoffDate TBA
InputsH2H record, venue history, team composition
OutputsWin probability band, score band, matchup edges
Last ComputedDate TBA

Key Factors

GT's triple-pace threat on seam: Rabada (career economy 7.6), Siraj (career SR 17), and the third seamer rotate through 12 overs on a deck that offers consistent seam movement. Mohali's lateral movement in the first 6 overs averages 1.2ยฐ, among the highest in the IPL.
PBKS' batting Achilles heel: Shreyas Iyer's SR against 140+ pace (105) is a problem when GT can bowl 140+ through all 20 overs. If Iyer falls cheaply, PBKS' middle-order collapse risk jumps โ€” they've been bowled out under 140 three times at home in the last 2 seasons.
Late-season pressure distortion: Match 71 of 74 league games. By this point, one or both teams may need to win for playoff survival. Pressure inflates uncertainty โ€” the ยฑ6% band is the mathematical floor, not the psychological reality.
Arshdeep's home-ground equaliser: PBKS' only structural advantage: Arshdeep Singh at Mohali has an economy of 7.1 and a death-over yorker accuracy of 78%. He alone can negate GT's batting depth if he gets 4 good overs.

PBKS Key Players

PlayerRole
Shreyas IyerCaptain / Batsman
Arshdeep SinghPace Bowler
Marcus StoinisAll-rounder
Shashank SinghBatsman
Prabhsimran SinghWK-Batsman

GT Key Players

PlayerRole
Shubman GillCaptain / Batsman
Rashid KhanLeg Spinner
Jos ButtlerWK-Batsman
Mohammed SirajPace Bowler
Kagiso RabadaPace Bowler

IS Bindra Stadium, Mohali

IS Bindra Stadium, Mohali is the IPL's most pace-friendly venue. The pitch retains moisture longer than other Indian grounds due to Punjab's climate, producing consistent seam movement for the first 8-10 overs. Fast bowlers average 22 here vs 28 at batting-friendly venues. The outfield slows by the 15th over as evening moisture sets in, making death-over boundaries harder to clear.

165
Venue Avg 1st Innings
60%
Pace Impact
30%
Spin Impact

Toss & Dew Factor

Mohali's dew is the heaviest in North Indian venues. By May (when Match 71 is likely scheduled), dew arrives by the 10th over of the second innings, making grip bowling (slower balls, cutters) nearly impossible. Teams winning the toss here in May choose to field 70% of the time. However, defending totals above 180 has a 55% success rate even with dew โ€” the key is posting enough.

Every Stat Sourced

H2H Record: 6 matches (PBKS 2, GT 4) ESPNcricinfo โ†—
Win Probability: PBKS 43% ยฑ6 bharath.ai model v1.0
Venue Avg: 170 (first innings) ESPNcricinfo โ†—
Score Band: PBKS 153-183 | GT 157-187 Computed from venue avg ยฑ 1 std dev
Key Players IPL Official โ†—

Data cutoff: Date TBA ยท All sources are Tier 1 (official or ESPN). Verify independently before acting on any information.

Model Performance

Model v1.0 ยท First Season ยท Not Yet Backtested

This is the model's debut season. Backtesting results will be available after IPL 2026 matches are completed. We believe in honest reporting โ€” no fabricated accuracy claims.

v1.0
Model Version
2026
First Season
ยฑ6%
Uncertainty Band

Methodology: Read our approach โ†—

6
Total Matches
2
PBKS Wins
4
GT Wins
Disclaimer: Entertainment only. Not betting advice. All predictions carry uncertainty. Verify stats with official sources. Data cutoff: Date TBA.
โ† Match 70: CSK vs KKR Match 72: SRH vs LSG โ†’

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