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Over 63 NBA games since October 2025, Jakob Poeltl has gone over the posted 8.5 points 34 times (54%), and over their last 10 they have done it 4 times (40%). They average 9.9 points across those 63 games. Their last 5 average 12.0, 45% above their 8.3 this season (10 games). Against the New York Knicks in this log they have 3 games, averaging 7.7. These are measured box-score results from Toronto Raptors games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
Sunday, November 15, 6:10 PM ET, at home against the New York Knicks. Last logged game November 12, 3 days before.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Rebounds | 63 | 6.8 rebounds | Over 6.5 | 35 of 63 (56%) |
| Points | 63 | 9.9 points | Over 8.5 | 34 of 63 (54%) |
| Market | Line | All logged | Last 10 |
|---|---|---|---|
| Rebounds | Over 5.5 | 44 of 63 (70%) | 6 of 10 (60%) |
| Rebounds | Over 6.5 | 35 of 63 (56%) | 5 of 10 (50%) |
| Rebounds | Over 8.5 | 20 of 63 (32%) | 4 of 10 (40%) |
| Points | Over 6.5 | 43 of 63 (68%) | 5 of 10 (50%) |
| Points | Over 8.5 | 34 of 63 (54%) | 4 of 10 (40%) |
| Points | Over 12.5 | 19 of 63 (30%) | 2 of 10 (20%) |
Every market Jakob Poeltl 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 |
|---|---|---|---|---|
| 2026-11-12 | Philadelphia 76ers | Away | 5 | 9 |
| 2026-11-11 | Boston Celtics | Home | 9 | 6 |
| 2026-11-09 | Memphis Grizzlies | Home | 7 | 18 |
| 2026-11-06 | Milwaukee Bucks | Away | 11 | 19 |
| 2026-11-04 | Denver Nuggets | Away | 5 | 8 |
| 2026-10-30 | Orlando Magic | Home | 11 | 12 |
| 2026-10-28 | Orlando Magic | Home | 2 | 2 |
| 2026-10-25 | Minnesota Timberwolves | Away | 1 | 0 |
| 2026-10-23 | Washington Wizards | Away | 9 | 6 |
| 2026-10-21 | Chicago Bulls | Home | 6 | 3 |
| 2026-05-03 | Cleveland Cavaliers | Away | 7 | 9 |
| 2026-05-01 | Cleveland Cavaliers | Home | 4 | 2 |
| 2026-04-29 | Cleveland Cavaliers | Away | 9 | 14 |
| 2026-04-26 | Cleveland Cavaliers | Home | 6 | 10 |
| 2026-04-23 | Cleveland Cavaliers | Home | 6 | 8 |
| 2026-04-20 | Cleveland Cavaliers | Away | 4 | 2 |
| Market | Meetings | Average in them | High | Average, all games |
|---|---|---|---|---|
| Points | 3 | 7.7 | 10 | 9.9 |
| Rebounds | 3 | 6.3 | 9 | 6.8 |
Counted from the same 63 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 | 6 |
| Median | 9 |
| 75th percentile | 14 |
| Highest logged game | 23 |
35 of 63 games (56%) landed between 6 and 14; 34 (54%) finished at or above the 9 median, and the spread from 0 to 23 is the whole range of the log. Nearest-rank, so every figure is a score Jakob Poeltl actually recorded.
| Month | Logged games | Average |
|---|---|---|
| November 2026 | 5 | 12 |
| October 2026 | 5 | 4.6 |
| April 2026 | 12 | 9.7 |
| March 2026 | 13 | 12.4 |
| February 2026 | 5 | 10 |
| December 2025 | 6 | 7.7 |
| Gap | Logged games | Average |
|---|---|---|
| 1 day | 4 | 8.3 |
| 2 days | 31 | 10.6 |
| 3 to 4 days | 19 | 10.8 |
| 5 or more days | 8 | 5.5 |
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 |
|---|---|---|---|
| Cleveland Cavaliers | 9 | 8.4 | 20 |
| Milwaukee Bucks | 4 | 9.8 | 19 |
| Detroit Pistons | 3 | 14.3 | 21 |
| Miami Heat | 3 | 10.3 | 17 |
| Boston Celtics | 3 | 10 | 14 |
| Washington Wizards | 3 | 9 | 18 |
Most-faced in this log is Cleveland Cavaliers, 9 games at 8.4, best of 20. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Against their own 9 median rather than a posted line, Jakob Poeltl's longest run at or above it is 6 games and the run open at the newest of the 63 is 1. Whether the bigger games cluster, not when the next one is.
Jakob Poeltl has gone over 6.5 rebounds in 35 of 63 logged games (56%).
At home they average 7.4 over 30 games; away, 6.3 over 33.
Jakob Poeltl rebounds: full game log, trend and hit rate by line
Jakob Poeltl has gone over 8.5 points in 34 of 63 logged games (54%).
At home they average 10.0 over 30 games; away, 9.9 over 33.
Jakob Poeltl points: full game log, trend and hit rate by line
Prop research for Jakob Poeltl of the Toronto Raptors. The books are currently pricing Rebounds and Points lines for Jakob Poeltl, 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 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.