Indiana Fever
2026 Team Stats (3 games)
98.0
PPG
85.5
Opp
+7.1
Margin
48.8%
FG%
36.3%
3P%
77.9%
FT%
30.7
RPG
22.7
APG
15.7
TO
95.9
Pace
Model Outputs
2025 latest available
No materialized model snapshot for 2026 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1152 (#2) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1077 (#5) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1056 (#4) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.3 (#5) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +7.8 (#5) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.664 (#5) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.664 (#5) | NetEff +4.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.801 (#4) | AdjNet +9.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.808 (#4) | AdjNet +10.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.667 (#4) | AdjO 87.0 | AdjD 79.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.598 (#4) | AdjO 84.3 | AdjD 79.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.692 (#4) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.679 (#4) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1066 (#6) | RD 77 | GP 56 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-04-25 | @ | New York Liberty | W | 109 - 91 |
| 2026-04-30 | vs | Dallas Wings | L | 80 - 95 |
| 2026-05-02 | vs | Nigeria | W | 105 - 57 |
| 2026-05-09 | vs | Dallas Wings | L | 104 - 107 |
| 2026-05-13 | @ | Los Angeles Sparks | W | 87 - 78 |
| 2026-05-15 | vs | Washington Mystics | L | 102 - 104 |
| 2026-05-17 | vs | Seattle Storm | W | 89 - 78 |
| 2026-05-20 | vs | Portland Fire | W | 90 - 73 |
| 2026-05-22 | vs | Golden State Valkyries | W | 90 - 82 |
| 2026-05-28 | @ | Golden State Valkyries | L | 88 - 90 |
| 2026-05-30 | @ | Portland Fire | L | 84 - 100 |
| 2026-06-04 | vs | Atlanta Dream | W | 83 - 71 |
| 2026-06-06 | @ | New York Liberty | - | Preview |
2026 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Mitchell
|
G | 3 | 16.0 | 15.0 | 0.7 | 1.0 | 0.7 | 0.0 | 1.0 | 11.0 | 5.3 | - | - | - | 51.5 | 50.0 | 100.0 | - | 63.1 | 59.1 |
C. Clark
|
G | 3 | 15.3 | 13.3 | 2.3 | 4.0 | 0.7 | 0.3 | 1.3 | 6.7 | 12.7 | - | - | - | 45.0 | 45.5 | 89.5 | - | 70.5 | 57.5 |
Damiris Dantas
|
F | 2 | 20.5 | 11.5 | 5.0 | 2.0 | 0.5 | 0.0 | 2.5 | 10.0 | 6.5 | - | - | - | 35.0 | 28.6 | 83.3 | - | 50.8 | 45.0 |
M. Timpson
|
F | 3 | 24.0 | 11.3 | 3.0 | 0.3 | 2.0 | 1.3 | 1.0 | 4.0 | 13.0 | - | - | - | 91.7 | 0 | 75.0 | - | 89.3 | 91.7 |
Shatori Walker-Kimbrough
|
G | 3 | 20.3 | 10.0 | 3.3 | 2.0 | 1.3 | 1.3 | 1.0 | 7.0 | 10.0 | - | - | - | 57.1 | 50.0 | 50.0 | - | 61.2 | 61.9 |
J. Pissott
|
- | 1 | 10.0 | 8.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 6.0 | - | - | - | 50.0 | 66.7 | 100.0 | - | 82.0 | 75.0 |
Sophie Cunningham
|
G | 3 | 13.3 | 7.3 | 1.3 | 1.3 | 1.0 | 0.0 | 0.0 | 4.0 | 7.0 | - | - | - | 66.7 | 50.0 | 40.0 | - | 77.5 | 83.3 |
K. Traylor
|
G | 3 | 11.7 | 7.3 | 0.3 | 0.7 | 0.0 | 0.0 | 2.3 | 5.0 | 1.0 | - | - | - | 46.7 | 40.0 | 100.0 | - | 65.6 | 60.0 |
Monique Billings
|
F | 3 | 16.3 | 6.0 | 4.0 | 0.3 | 0.7 | 0.7 | 1.7 | 6.0 | 4.0 | - | - | - | 44.4 | 33.3 | 100.0 | - | 48.8 | 47.2 |
R. Johnson
|
- | 3 | 18.3 | 6.0 | 3.7 | 4.7 | 2.3 | 1.0 | 1.3 | 4.0 | 12.3 | - | - | - | 58.3 | 20.0 | 60.0 | - | 63.4 | 62.5 |
J. Timmons
|
- | 3 | 12.7 | 5.3 | 0.7 | 0.7 | 0.3 | 0.0 | 1.3 | 4.7 | 1.0 | - | - | - | 35.7 | 14.3 | 71.4 | - | 46.8 | 39.3 |
Myisha Hines-Allen
|
F | 3 | 16.3 | 4.0 | 5.3 | 1.3 | 0.3 | 0.0 | 1.0 | 3.7 | 6.3 | - | - | - | 36.4 | 0.0 | 80.0 | - | 45.5 | 36.4 |
A. Boston
|
F | 1 | 10.0 | 4.0 | 1.0 | 6.0 | 0.0 | 1.0 | 1.0 | 3.0 | 8.0 | - | - | - | 66.7 | 0 | 0 | - | 66.7 | 66.7 |
T. Harris
|
G | 1 | 12.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 3.0 | 0.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 25.8 | 0.0 |
M. McConnell
|
- | 3 | 10.7 | 0.0 | 2.0 | 2.3 | 1.3 | 0.3 | 1.7 | 1.7 | 2.7 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG