WNBA Rotation Tracker
Player minutes and rotation patterns
| Player | Q1 (10 min) Q2 (10 min) Q3 (10 min) Q4 (10 min) | Min | +/- | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|---|---|---|
 Jordin Canada | 35:40 | +9 | 0 | +6 | +3 | 0 | |
 Allisha Gray | 34:28 | +20 | -2 | +9 | +13 | 0 | |
 Angel Reese | 33:49 | +13 | -1 | +7 | +12 | -5 | |
 Naz Hillmon | 30:23 | +14 | -1 | +4 | +11 | 0 | |
 Rhyne Howard | 27:28 | -2 | -4 | -4 | +6 | 0 | |
 DeWanna Bonner | 19:57 | +12 | -3 | -4 | +19 | 0 | |
 Isobel Borlase | 16:55 | +9 | 0 | +6 | +3 | 0 | |
 Shatori Walker-Kimbrough | 0:44 | -2 | 0 | 0 | 0 | -2 | |
 Madina Okot | 0:37 | -3 | -3 | 0 | 0 | 0 |
| Player | Q1 (10 min) Q2 (10 min) Q3 (10 min) Q4 (10 min) | Min | +/- | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|---|---|---|
 Kiah Stokes | 30:23 | -14 | 0 | -14 | 0 | 0 | |
 Gabby Williams | 26:57 | -12 | 0 | +1 | -13 | 0 | |
 Kaila Charles | 26:19 | -19 | -1 | -8 | -12 | +2 | |
 Tiffany Hayes | 24:51 | -18 | +1 | -5 | -14 | 0 | |
 Veronica Burton | 24:13 | -8 | -2 | +8 | -16 | +2 | |
 Kayla Thornton | 18:43 | +7 | +1 | +7 | -1 | 0 | |
 Kaitlyn Chen | 17:42 | -4 | +1 | -7 | -5 | +7 | |
 Cecilia Zandalasini | 17:01 | 0 | -2 | +4 | 0 | -2 | |
 Laeticia Amihere | 8:17 | -1 | -2 | -1 | 0 | +2 | |
 Janelle Salaun | 4:14 | -2 | -2 | 0 | 0 | 0 | |
 Aminata Gueye | 1:20 | +1 | +1 | 0 | 0 | 0 |
Minutes and rotation data are the foundation of winning WNBA DFS lineups on DraftKings. BankrollSZN's WNBA Rotation Tracker gives you detailed rotation data so you can see who is getting the most minutes, which players step into bigger roles when starters sit, and how coaches are managing their rosters across four 10-minute quarters.
WNBA rotations and minutes
Minutes game by game for every player, so you can see spikes, role changes and the fallout from an injury as it happens rather than after it has been priced in.
Why recent minutes beat season averages
Minutes are the largest input into any WNBA projection and the one most likely to change. A season average carries every game a player has played this year, including the ones before whatever changed her role, so it describes a player who no longer exists.
A simple trailing average over the last several games is a surprisingly strong baseline, and it beats more complicated approaches more often than people expect. If a projection disagrees sharply with a player's recent minutes, the projection usually needs the better argument.
Rosters are small, so a single absence moves minutes more than it would in a deeper league. There is less bench to absorb it, which means the players who do absorb it get a larger share than the equivalent situation would produce elsewhere.
Spotting a role change early
The signal to watch is a player whose minutes have climbed across several consecutive games without an injury explaining it. That is a coaching decision rather than circumstance, and coaching decisions tend to persist.
Fourth-quarter minutes are worth more attention than total minutes. A player who closes games has the trust of her coach, and closing minutes usually arrive before a broader role increase does.
Frequently asked questions
How many games back should I look?
The last several, and specifically since the most recent injury or rotation change. A trailing window of around six games is a solid baseline.
Why do injuries move WNBA minutes so much?
Rosters are small, so there are fewer players to absorb an absence and the redistribution concentrates more heavily.
What indicates a real role change?
Minutes climbing over several consecutive games with no injury explaining it, and especially an increase in fourth-quarter minutes.
Are season averages useful at all?
As context, not as a projection. They lag any role change by weeks.
Is the rotations tool free?
Yes, every team with a free account.