Seventy league matches, ten franchises, and 58 days of high-stakes T20 drama have finally delivered an unusually tight race in the IPL’s eighteenth season. When the final round ended on Sunday evening, Royal Challengers Bengaluru, Gujarat Titans, and Sunrisers Hyderabad all finished level on 18 points. Rajasthan Royals edged into the playoffs on 16, sealing their place with a win over the Mumbai Indians on the last matchday. Net Run Rate then decided the order of the qualifiers, separating the trio into different knockout paths.
From there, the knockout map is fixed. Royal Challengers Bengaluru take on Gujarat Titans in Qualifier 1 at Dharamsala on May 26, while Sunrisers Hyderabad meet Rajasthan Royals in the Eliminator at Mullanpur on May 27. The final is set for May 31 at the Narendra Modi Stadium in Ahmedabad. The big question now is simple: which of these teams can convert their league identities into tournament-winning execution?
Quick facts
- Three teams finished on 18 points: Royal Challengers Bengaluru, Gujarat Titans, Sunrisers Hyderabad.
- Rajasthan Royals qualified with 16 points after beating the Mumbai Indians on the final league day.
- Net Run Rate determined seeding among the top three.
- Qualifier 1: RCB vs GT at Dharamsala on May 26.
- Eliminator: SRH vs RR at Mullanpur on May 27.
- Final: May 31 at Narendra Modi Stadium, Ahmedabad.
Because T20 can overturn even the most confident outlooks, this breakdown relies on the WPA Impact Index—an internal player-value framework developed by the analyst. It is applied across all 70 league fixtures, translating match situations into ball-by-ball win-probability swings. From there, it produces batting and bowling impact scores and a composite team performance rating covering every phase of play.
What emerges is not a single “hot hand” story, but a clearer structural picture. Each side arrives with a distinct style, yet one team’s strengths appear more dependable when the margins tighten in knockouts. The analysis begins with the part of T20 that most often decides titles: bowling pressure.
The Gujarat Titans case (Qualifier 1 favourites on structure)
On the bowling axis, Gujarat Titans stand out as the most complete unit among the four playoff teams. Across the league phase, they took 102 wickets—18 more than any other side in the postseason group. Their run-rate containment, at 9.16 per over, is also the most economical among the four.
They add another layer through dot-ball frequency. Gujarat’s dot-ball rate sits at 39.8%, nearly nine percentage points ahead of the next-best playoff team, signalling sustained pressure rather than short bursts of success. In knockout cricket, that kind of sustained control can throttle even well-built batting orders.
The makeup of the attack explains why the numbers look so durable. Kagiso Rabada led the wicket haul with 24 strikes at an economy of 9.19 and a dot-ball rate of 44%. Mohammed Siraj, used effectively with the new ball and at the death, finished with 17 wickets while conceding at 8.59 and producing dots 46% of the time. Rashid Khan contributed 19 wickets of wrist-spin control, keeping things tight with an economy of 8.72.
With that bowling foundation, Gujarat’s batting does not need to be decorative. Shubman Gill scored 616 runs at a strike rate of 161.7, Sai Sudarshan added 581, and Jos Buttler chipped in with 469. The important point is that the batting supports the bowling rather than relying solely on it to win games.
The WPA model gives Gujarat a tournament-win probability of 36%, the highest in the playoff set. Their head-to-head record against other playoff teams strengthens the argument: Gujarat beat Sunrisers Hyderabad by 82 runs, Rajasthan Royals by 77, and also secured a second-leg win over Royal Challengers Bengaluru. In the second half of the season, they played three matches against their eventual playoff rivals and won all three.
Their team impact profile is also strongest late in the league phase. The average WPA team impact score across their final five league games was 979—the top figure in the group—suggesting their best cricket arrived when it mattered most.
Sunrisers Hyderabad: the highest ceiling, the most exposed bowling
Sunrisers Hyderabad, in contrast, are the most compelling side to watch because their batting can flip matches with unusual speed and timing. They ended the league phase with the highest overall composite WPA score among all ten franchises, posting 10,620. That total was driven by a lineup capable of sustained damage rather than occasional bursts.
Abhishek Sharma recorded a strike rate of 206.23 across the season. Ishan Kishan contributed 569 runs at a strike rate of 178. Heinrich Klaasen, ranked as the most prolific impact batter by the model’s raw scoring measure, finished with 606 runs while managing the middle phase with rare authority. In the powerplay, Sunrisers scored at 11.02 runs per over, second only to Rajasthan Royals among the four playoff sides.
The flaw, however, is not hidden. Sunrisers’ bowling economy is 9.90, the worst among the playoff quartet. They also took only 84 wickets in the league phase, the fewest among these four teams. Another structural concern is role clarity: ten of their fourteen league games were played batting first, leaving a chaser sample of just four matches.
When Sunrisers faced the opponent most likely to test their batting in a high-pressure chase, Gujarat Titans, the result did not go their way—they were beaten by 82 runs. In the WPA framework, Sunrisers have a 27% tournament-win probability, reflecting that their batting ceiling is massive while their bowling may struggle to hold under sustained knockout pressure.
Royal Challengers Bengaluru: top seed with a narrower safety margin
Royal Challengers Bengaluru finished as the top seed and secured a direct path to the final through Qualifier 1. Their standout weapon is Bhuvneshwar Kumar, who delivered the most economical season among the leading seam options in the playoff field. He took 24 wickets at 8.07 runs per over, with a dot-ball rate of 37.6% and a wicket-taking rate of 13.75 balls per wicket—an efficiency no other equivalent bowler in the group matches.
In batting, their death-over output is the best among the playoff sides, at 11.38 runs per over. That late acceleration is linked to consistent execution when pressure peaks, supported by a lower-order that can close games instead of merely surviving them.
Still, context matters. Their last five WPA team scores read 472, 778, 519, 992, and 474—an oscillation pattern more typical of a side that can look brilliant one match and then lose control the next. Beyond Bhuvneshwar, their bowling does not reach the same playoff standard.
Their final league game also ended in disappointment: a 55-run loss to Sunrisers Hyderabad. The WPA model places Royal Challengers Bengaluru at 24% tournament-win probability, close enough to remain dangerous, but suggests their route to the final may depend more on individual brilliance than on a reliably deep, collective match plan.
Rajasthan Royals: the longest route, built around variance
Rajasthan Royals face the steepest requirement: they must win three knockout matches in succession to lift the trophy. In aggregate terms, it is the longest road to the title in this playoff structure. It begins against a Sunrisers side that already beat Rajasthan twice in the league—once by 57 runs and once by five wickets.
Rajasthan’s strongest arguments come from two standout performers. Vaibhav Sooryavanshi, with a season strike rate of 232, is identified as the tournament’s most explosively disruptive powerplay batter—capable of throwing an opponent’s plans off schedule within the first six overs. Jofra Archer then adds a wicket-taking edge, finishing with 21 wickets, an economy of 8.77, and a dot-ball percentage of 44.9%.
But the supporting cast and bowling depth are the issue. Rajasthan’s overall bowling economy of 9.79 is the second-worst among the four teams. Their record against Gujarat Titans adds to the worry: a 0-2 mark, including the 77-run defeat in Match 52, points to a structural vulnerability that could matter if they advance to face Shubman Gill’s side.
The WPA model assigns Rajasthan a 13% tournament-win probability. That makes the campaign possible, but it also implies the margin for error is thin—success would likely require the variance to tilt strongly in their favour across multiple games.
What the data points to for the final
With probabilities as the guide, the most likely final pairing is Gujarat Titans versus Sunrisers Hyderabad. Those are the top two performers across the league phase in this dataset. In such a meeting, Gujarat’s bowling unit holds a meaningful edge over Sunrisers’ attack, a factor that becomes increasingly important as the knockout stage reduces room for batting-only answers.
The Eliminator between Sunrisers Hyderabad and Rajasthan Royals is flagged as the least predictable fixture in the entire playoff sequence. It pits one aggressive batting lineup against another, with bowling thinness on both sides creating a game environment where outcomes can swing quickly and unexpectedly.
Yet the overall numbers remain consistent in one respect. Gujarat Titans enter the postseason as the most complete side, with the strongest bowling structure and momentum from the back half of the league. In a tournament where upsets are always possible, the data still suggests the trophy is there to be claimed—and they are the team best positioned to lose it least.
Methodology note
The WPA Impact Index is a proprietary player performance model created and designed exclusively by the analyst. It assigns win-probability changes at the level of every ball in a match, then attributes those shifts to batters, bowlers, and fielders based on their roles in each outcome. The system generates batting, bowling, and fielding impact scores, which are then aggregated at both player and team levels across matches.
Manual performance ratings—also applied by the analyst to each match—supplement the algorithmic output to account for contextual contributions that ball-by-ball data alone may not fully capture. Captaincy ratings are assessed separately. All figures in this piece come from the model applied to ball-by-ball records from all seventy IPL 2026 league-stage games.
Win-probability estimates are derived from a statistical model built on historical in-season performance patterns. They are probabilistic assessments rather than guarantees. Cricket, especially in knockout formats, includes variance that no model can fully remove; factors such as injuries, pitch and weather conditions, toss outcomes, and the specific form of players on match day can significantly change results. These figures should be treated as analytical starting points, not forecasts of exact match outcomes.
