Allah Ghazanfar (MI): 6.3 Middle Economy on 480 Balls, But the Sample Is Thin
Allah Ghazanfar bowls at 6.3 economy in the middle overs and 9.0 at the death across his 25 match T20 career. Those are eye-catching numbers. They also come from just 480 career balls bowled, and our model does not trust them enough to hand him an overseas slot.
Why He Misses the XI
Ghazanfar's exclusion rests on two factors: sample size and overseas competition. His IPL confidence of 0.42 is the lowest among MI's overseas contenders, driven by just 147 IPL-format T20 balls. The model applies heavy regression to small samples, pulling his 0.18 raw WAR per match down to a regressed 0.17 projection.
Compare that to the overseas players who made the XII. Boult's 0.29 WAR/M comes with 1538 T20 balls and 0.89 IPL confidence. Bosch's 0.10 WAR/M is lower than Ghazanfar's, but it rests on 737 T20 balls and 0.79 confidence. The model trusts Bosch's floor more than Ghazanfar's ceiling.
Santner (0.32 WAR/M) and de Kock (0.31 WAR/M) also sit ahead of Ghazanfar in the overseas queue. He is the 5th overseas option.
What the Numbers Show
Ghazanfar is a pace bowler who operates primarily in the middle phase. 90% of his career balls land in the middle overs, with 10% at the death and none in the powerplay.
Middle overs (7-15): 6.3 economy with 21 wickets. That economy sits 2.2 runs per over below the 8.5 league average. If sustained, that would represent spinner-elite control from a pace bowler. The 21 wickets in 432 middle-overs balls suggest genuine wicket-taking ability, not just containment.
Death overs (16-20): 9.0 economy with 5 wickets across 48 balls. A promising number, but 48 balls is barely enough to draw conclusions.
His batting is negligible: 0 batting balls in the current dataset. He is a specialist bowler who cannot contribute with the bat.
The Development Case
Ghazanfar is 19 years old. His 480 career bowling balls will expand rapidly if he plays regularly. The model's 0.17 projected WAR for 2026 assumes conservative regression, but every additional match where he maintains that 6.3 middle-overs economy shifts the confidence calculation.
Afghanistan's international schedule gives him opportunities to build sample size outside the IPL window. If Ghazanfar arrives at IPL 2026 with 300+ additional T20 balls at similar rates, the model recalculates. At that point, his ceiling could exceed Bosch's, and the overseas slot conversation changes entirely.
The Confidence Gap
The gap between Ghazanfar's raw numbers and his regressed projection is the largest on MI's roster. His raw 0.18 WAR per match drops to 0.17 after regression, a 0.01 change that understates the uncertainty. The model assigns wide confidence intervals around that 0.17 central estimate. In a best-case scenario, Ghazanfar's true talent level sits at 0.25+, which would make him a genuine XI-quality overseas option. In the worst case, regression pulls him below 0.10, and the 6.3 middle-overs economy proves unsustainable against IPL-quality batting.
His age works in his favor. At 19, every T20 ball he bowls adds to the model's confidence. The learning curve for young pace bowlers in T20 cricket is steep, and the players who survive it (Bumrah debuted at a similar age) often emerge as franchise cornerstones. Ghazanfar is not there yet. But the raw signal is strong enough that MI should protect his development pathway.
Path to Selection
Ghazanfar plays if Bosch struggles early (below 0.10 WAR/M pace) or if MI face a stretch of spin-friendly pitches where a third pace option becomes redundant. He could also enter the XI if MI want to rest Boult for workload management, shifting one of the 4 overseas slots from new ball pace to middle-overs pace.
His xImpact of 42 projects him as a solid contributor if selected. The question is not whether Ghazanfar is good enough. The question is whether the model has seen enough to be sure.
Comparison to Bosch
The direct comparison that matters: Bosch brings 0.10 WAR/M with 0.79 confidence. Ghazanfar brings 0.14 WAR/M with 0.42 confidence. The model trades 0.04 WAR per match in raw production for 0.37 points of confidence. That is a rational trade in a format where variance kills. One bad 4-over spell from an unreliable bowler can cost a match. Bosch's floor is known. Ghazanfar's floor is a guess.