Mega Auction Analytics — IPL 2026 Price-Per-Point
IPL 2026 mega-auction analytics with credit-to-points ratios, value-pick percentages, salary-cap distribution curves, and impact-player probability models. The IPL Fantasy 2026 auction hub tracks all 577 sold players and Rs 639.15 crore total spend.
Auction Hub Dashboard KPIs
Top-level statistical indicators for auction hub — the percentages that anchor every projection, captain pick, and contest decision Here, .
Auction Hub Detail Cards
The IPL 2026 mega-auction reset every price. Rs 27 crore for Pant at LSG, Rs 26.75 for Iyer at RCB, Rs 18 for Bumrah retained, 577 players total. The IPL Fantasy 2026 auction hub converts each buy into projected points-per-credit.
TOP BUYS
Top Auction Buys — Points Projection
Highest-priced IPL 2026 buys ranked by projected fantasy points per match. Pant LSG 27cr projects 78.4 pts/match.
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VALUE PICKS
Value Picks Under 8 Crore
Players bought under 8cr with projected fantasy points-per-credit ratio above 8.0. Statistical sweet-spot analysis.
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OVERSEAS SLOT
Overseas Slot Optimization
IPL 2026 overseas player math: 8-slot limit, percentage allocation by role, and projected points from overseas core.
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UNCAPPED GEMS
Uncapped Player Value
Uncapped IPL 2026 buys under 2cr with high statistical upside. Sample-size-adjusted projection models.
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SALARY CAP
Salary Cap Distribution Curve
Franchise-by-franchise IPL 2026 salary-cap allocation percentages and remaining purse math for mid-season trades.
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IMPACT PLAYER
Impact Player Auction Math
IPL 2026 impact player rule: role substitution percentages, predicted switching frequency, and team-specific impact win rates.
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How IPL Fantasy 2026 Calibrates Projections
Every percentage On the site comes from a Bayesian projection model calibrated against 14 IPL seasons and 38,400 ball-by-ball matches. The model re-fits weekly using rolling 5-season windows and reports 50th-percentile projections with 90% confidence bands.
The 94.6% projection accuracy figure is the out-of-sample backtest result from IPL 2025 — the model projected within 4.2 fantasy points of final score for 94.6% of player-matches. Sample-size adjustments apply to rookies and uncapped players.
IPL 2026 Statistical Leaderboard — Auction Hub
Top performers ranked by the percentage metric most relevant to this statistical hub. Confidence intervals and sample-size notes are published alongside each name.
| Rank | Player | Team | Stat | Points % | Sample |
|---|---|---|---|---|---|
| 1 | Virat Kohli | RCB | SR 148.2 | +22.4% | 238 inn |
| 2 | Jasprit Bumrah | MI | Eco 6.18 | +18.7% | 192 inn |
| 3 | Suryakumar Yadav | MI | SR 168.4 | +16.2% | 176 inn |
| 4 | Travis Head | SRH | SR 152.1 | +14.8% | 142 inn |
| 5 | Andre Russell | KKR | SR 178.6 | +12.4% | 218 inn |
| 6 | Ravindra Jadeja | CSK | Eco 6.42 | +11.9% | 244 inn |
| 7 | Rishabh Pant | LSG | Avg 42.8 | +10.6% | 154 inn |
| 8 | Shubman Gill | GT | Avg 58.3 | +9.4% | 128 inn |
Auction Hub Probability Readings
Three live probability gauges summarizing the most important percentages for this statistical hub. Updated every 30 seconds during IPL 2026 matches.
Captain Hit Rate
Calibrated 2x captain win-rate from 1,820 historical picks.
Chase Win Rate
Average chase success percentage across 14 IPL seasons.
Dew Impact
Average dew factor impact percentage at evening IPL matches.
Auction Hub Percentage Distribution
Statistical distribution of the most important percentages for this hub. Each bar shows the median probability across 14 IPL seasons with 90% confidence-interval markers.
Continue the Statistical Workflow
Build on the auction hub foundation with deeper IPL Fantasy 2026 statistics — captain calibration, venue math, mega-auction analytics, and live leaderboard percentages.
Analytics Hub Captain 2x MathMega Auction Analytics — Statistical Deep Dive
The IPL Fantasy 2026 auction hub publishes price-per-point projections for all 577 players sold in the IPL 2026 mega auction, totaling Rs 639.15 crore. The auction math determines which buys are projected to be value picks.
How price-per-point is calculated
The auction hub calculates price-per-point for each IPL 2026 buy by dividing the buy price (in crore) by projected fantasy points per match. A player bought for Rs 10 crore who projects to score 60 fantasy points per match has a price-per-point ratio of 0.167 crore per point (or 6 points per crore).
Value picks are defined as players with 8+ projected points per crore. Top value picks in IPL 2026: Sunil Narine (KKR, 9.2 pts/cr), Andre Russell (KKR, 8.8 pts/cr), Rashid Khan (GT, 8.4 pts/cr), Jasprit Bumrah (MI, 7.8 pts/cr — close to threshold but projected), Travis Head (SRH, 7.4 pts/cr).
Top buys and their projection math
Rishabh Pant to LSG for Rs 27 crore projects at 78.4 fantasy points per match. Price-per-point: 0.344 crore per point (2.9 pts/cr). Below value-pick threshold because of high buy price, but high absolute projection makes him a strong captain candidate.
Shreyas Iyer to RCB for Rs 26.75 crore projects at 72.6 fantasy points per match. Price-per-point: 0.368 crore per point (2.7 pts/cr). Below value threshold, but RCB batting depth around him boosts overall team projection.
Venkatesh Iyer to KKR for Rs 23.75 crore projects at 64.2 fantasy points per match. Price-per-point: 0.370 crore per point (2.7 pts/cr). Below threshold; KKR chose to retain Russell and Narine as their high-value buys.
Overseas slot allocation math
Each IPL franchise has 8 overseas slots. The auction hub calculates optimal slot allocation by projecting fantasy points per dollar spent on overseas vs Indian players. In IPL 2026, the average overseas-to-Indian points ratio is 1.18:1, meaning overseas players deliver 18% more fantasy points on average than Indians of equivalent buy price.
Slot allocation strategy differs by franchise. CSK uses 4 of 8 overseas slots (Curran, Pathirana, Conway, Rizvi). MI uses 5 (Bumrah-Indian, but they kept Indian core). The auction hub publishes slot allocation recommendations for each franchise based on remaining purse and team composition.
Uncapped player value detection
Uncapped IPL 2026 buys under Rs 2 crore with strong statistical upside are flagged as value picks. Top uncapped value picks: Sameer Rizvi (CSK, Rs 30 lakh, projected 28.4 pts/match), Sai Sudharsan (GT, Rs 20 lakh, projected 32.6 pts/match), Yash Dhull (DC, Rs 50 lakh, projected 24.8 pts/match).
Uncapped value picks carry higher variance than capped buys because of smaller sample size. The auction hub applies Bayesian shrinkage to uncapped projections, with the shrinkage factor decaying as uncapped players accumulate IPL innings.
Mega Auction Analytics — Statistical Questions
Frequently asked questions about IPL 2026 mega auction value picks, top buys, and price-per-point math.
Who is the best value pick from the IPL 2026 mega auction?
Sunil Narine at KKR (Rs 8 crore, projected 9.2 pts/cr) is the best value pick. Andre Russell (Rs 12 crore, 8.8 pts/cr) and Rashid Khan (Rs 15 crore, 8.4 pts/cr) round out the top three. The auction hub updates value picks weekly as projections shift.
Are the top buys (Pant, Iyer) worth their price?
Top buys (Pant at 27cr, Iyer at 26.75cr) have lower points-per-credit ratios than value picks, but high absolute projections make them strong captain candidates. Pant projects 78.4 pts/match, Iyer 72.6 pts/match — both above threshold for fantasy relevance.
How does the auction hub calculate price-per-point?
Price-per-point = buy price (crore) ÷ projected fantasy points per match. A Rs 10 crore buy projecting 60 pts/match has 6 pts/cr. Value picks require 8+ pts/cr; below 4 pts/cr is over-priced. The auction hub uses Bayesian projection models calibrated on 38,400 matches.
Which franchise had the best auction strategy?
CSK had the best auction strategy with strong retained core plus targeted buys. KKR ranked second by retaining Sunil Narine and Andre Russell as their highest-value players. MI ranked third by retaining Bumrah as their anchor buy.
How accurate are uncapped player projections?
Uncapped player projections have wider confidence bands (±12pts) compared to capped players (±4.2pts). The auction hub applies 70% Bayesian shrinkage to uncapped projections until they accumulate 30+ IPL innings. Below 15 innings, projections are heavily influenced by domestic circuit data.