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Over 30 NBA games since October 2025, Domantas Sabonis has gone over the posted 13.5 points 16 times (53%), and over their last 10 they have done it 6 times (60%). They average 15.3 points across those 30 games. Their last 5 average 12.6, 13% below their 14.5 this season (11 games). Against the Oklahoma City Thunder in this log they have 1 game, averaging 10.0. These are measured box-score results from Sacramento Kings games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
Sunday, November 15, 9:10 PM ET, at home against the Oklahoma City Thunder. Last logged game November 13, 2 days before.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Rebounds | 30 | 12.0 rebounds | Over 12.5 | 15 of 30 (50%) |
| Points + Rebounds + Assists | 30 | 32.1 combined points, rebounds and assists | Over 31.5 | 16 of 30 (53%) |
| Assists | 30 | 4.7 assists | Over 4.5 | 16 of 30 (53%) |
| Points | 30 | 15.3 points | Over 13.5 | 16 of 30 (53%) |
| Market | Line | All logged | Last 10 |
|---|---|---|---|
| Rebounds | Over 10.5 | 21 of 30 (70%) | 8 of 10 (80%) |
| Rebounds | Over 12.5 | 15 of 30 (50%) | 6 of 10 (60%) |
| Rebounds | Over 14.5 | 9 of 30 (30%) | 4 of 10 (40%) |
| Points + Rebounds + Assists | Over 25.5 | 22 of 30 (73%) | 8 of 10 (80%) |
| Points + Rebounds + Assists | Over 31.5 | 16 of 30 (53%) | 7 of 10 (70%) |
| Points + Rebounds + Assists | Over 35.5 | 9 of 30 (30%) | 3 of 10 (30%) |
| Assists | Over 3.5 | 18 of 30 (60%) | 8 of 10 (80%) |
| Assists | Over 4.5 | 16 of 30 (53%) | 7 of 10 (70%) |
| Assists | Over 5.5 | 10 of 30 (33%) | 4 of 10 (40%) |
| Points | Over 11.5 | 21 of 30 (70%) | 6 of 10 (60%) |
| Points | Over 13.5 | 16 of 30 (53%) | 6 of 10 (60%) |
| Points | Over 18.5 | 9 of 30 (30%) | 3 of 10 (30%) |
Every market Domantas Sabonis is currently priced in, on the same row as the game it came from. A dash means the box score carried no value in that market for that game, which is not the same as a zero.
| Date | Opponent | Venue | Rebounds | Points + Rebounds + Assists | Assists | Points |
|---|---|---|---|---|---|---|
| 2026-11-13 | Portland Trail Blazers | Home | 12 | 38 | 5 | 21 |
| 2026-11-10 | Orlando Magic | Home | 2 | 7 | 5 | 0 |
| 2026-11-06 | San Antonio Spurs | Home | 12 | 34 | 5 | 17 |
| 2026-11-04 | Los Angeles Lakers | Home | 17 | 34 | 1 | 16 |
| 2026-11-02 | Dallas Mavericks | Away | 7 | 20 | 4 | 9 |
| 2026-10-31 | Memphis Grizzlies | Away | 14 | 33 | 8 | 11 |
| 2026-10-29 | New Orleans Pelicans | Away | 15 | 31 | 7 | 9 |
| 2026-10-27 | San Antonio Spurs | Away | 14 | 42 | 8 | 20 |
| Market | Meetings | Average in them | High | Average, all games |
|---|---|---|---|---|
| Assists | 1 | 3.0 | 3 | 4.7 |
| Points | 1 | 10.0 | 10 | 15.3 |
| Points + Rebounds + Assists | 1 | 31.0 | 31 | 32.1 |
| Rebounds | 1 | 18.0 | 18 | 12.0 |
Counted from the same 30 logged games as the tables above. Measured history, not a projection and not a read on tonight's price.
| Percentile | Points |
|---|---|
| Lowest logged game | 0 |
| 25th percentile | 11 |
| Median | 14 |
| 75th percentile | 20 |
| Highest logged game | 34 |
17 of 30 games (57%) landed between 11 and 20; 16 (53%) finished at or above the 14 median, and the spread from 0 to 34 is the whole range of the log. Nearest-rank, so every figure is a score Domantas Sabonis actually recorded.
| Month | Logged games | Average |
|---|---|---|
| November 2026 | 5 | 12.6 |
| October 2026 | 6 | 16 |
| January 2026 | 7 | 12.6 |
| November 2025 | 7 | 19.9 |
| October 2025 | 4 | 12.5 |
| Gap | Logged games | Average |
|---|---|---|
| 2 days | 19 | 14.6 |
| 3 to 4 days | 4 | 17.3 |
| 5 or more days | 4 | 17.8 |
The gap is the distance to the previous game in this log, not a rest figure. A box score does not record a game a player sat out inside it.
| Opponent | Logged games | Average | Best |
|---|---|---|---|
| Portland Trail Blazers | 3 | 18.7 | 27 |
| San Antonio Spurs | 3 | 18 | 20 |
| Memphis Grizzlies | 3 | 16.7 | 24 |
| Minnesota Timberwolves | 2 | 27 | 34 |
| Denver Nuggets | 2 | 16 | 19 |
| Los Angeles Lakers | 2 | 13 | 16 |
Most-faced in this log is Portland Trail Blazers, 3 games at 18.7, best of 27. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Against their own 14 median rather than a posted line, Domantas Sabonis's longest run at or above it is 6 games and the run open at the newest of the 30 is 1. Whether the bigger games cluster, not when the next one is.
| Market | Average | Spread | Reads as | Games |
|---|---|---|---|---|
| points + rebounds + assists | 32.1 | 10.1 | steady | 30 |
| rebounds | 12.0 | 4.2 | steady | 30 |
| points | 15.3 | 6.9 | mixed | 30 |
| assists | 4.7 | 2.3 | mixed | 30 |
Their points + rebounds + assists is the steadiest of the 4 markets measured here, averaging 32.1 with a spread of 10.1; their assists swings most, 4.7 with a spread of 2.3. Spread describes how far past games sat from the average. It is not a forecast of the next one.
Domantas Sabonis has gone over 12.5 rebounds in 15 of 30 logged games (50%).
At home they average 11.2 over 15 games; away, 12.9 over 15.
Domantas Sabonis rebounds: full game log, trend and hit rate by line
Domantas Sabonis has gone over 31.5 combined points, rebounds and assists in 16 of 30 logged games (53%).
At home they average 29.5 over 15 games; away, 34.7 over 15.
Domantas Sabonis points + rebounds + assists: full game log, trend and hit rate by line
Domantas Sabonis has gone over 4.5 assists in 16 of 30 logged games (53%).
At home they average 3.7 over 15 games; away, 5.8 over 15.
Domantas Sabonis assists: full game log, trend and hit rate by line
Domantas Sabonis has gone over 13.5 points in 16 of 30 logged games (53%).
At home they average 14.7 over 15 games; away, 16.0 over 15.
Domantas Sabonis points: full game log, trend and hit rate by line
Prop research for Domantas Sabonis of the Sacramento Kings. The books are currently pricing Rebounds, Points + Rebounds + Assists, Assists and Points lines for Domantas Sabonis, and each one is scored the same way every prop on this site is: their own game log measured against the exact line on offer, then compared with the price after a short record is pulled toward that price, so a hot fortnight cannot pass for a gap over it. The game log and the splits below are measured history and are rebuilt daily; the lines and prices load live, because an NBA price printed into a page is wrong within the hour. None of it is a forecast of the next game.
Calculated by the ParlayBuilder Prop Engine.
Every figure on this page is counted from official NBA box scores, one row per game actually played. No projections, and a game the player missed is absent rather than scored as a zero. Where a hit rate is compared with the live price, it is first pulled toward that price in proportion to how thin the sample is, so three-for-three does not read here as a certainty.
Past performance does not predict future results, and Parlay Builder does not accept wagers, hold funds or settle bets. This is measured history and a price, and what you do with them is your decision.
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Whatever the books have priced: currently Rebounds, Points + Rebounds + Assists, Assists and Points. The board on this page loads live rather than from a saved snapshot, so it reflects what is actually on offer now, with the best posted price across the major US sportsbooks against each line.
It depends on the line, which is why this page shows a rate per prop rather than one number. Each is the share of logged games finishing above the exact line on offer, over the deepest window available, and pulled toward the price before it is compared with it, so a short sample cannot masquerade as a trend. The number of games behind every rate is printed beside it.
The home and away splits on this page are measured from the same game log, so you can see the gap rather than assume one. Read them with the sample sizes next to them: a split measured over a handful of games each way is a difference you cannot distinguish from noise, and this page prints the denominator so you can tell.
No one knows, and any NBA tool that says otherwise is selling you something. Every figure here is measured history against a current price, and history is not a forecast. Across roughly 96,000 graded props the model tracked the de-vigged consensus across five books to within the margin those books charge: historical testing showed calibration alone is not enough to overcome sportsbook pricing. What this page does is show you the sample behind every number in seconds.
How NBA prop markets behave, measured across the league
Odds and lines come from licensed data feeds and refresh on a schedule; hit rates and grades are Parlay Builder’s own calculations.