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Over 87 NBA games since October 2025, Jordan Walsh has gone over the posted 4.5 points 46 times (53%), and over their last 10 they have done it 5 times (50%). They average 4.9 points across those 87 games. Their last 5 (4.6) are in line with their 4.5 this season (12 games), so there is no recent move to read into. Against the Dallas Mavericks in this log they have 1 game, averaging 0.0. These are measured box-score results from Boston Celtics 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 Dallas Mavericks. Last logged game November 11, 4 days before.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Rebounds | 87 | 3.8 rebounds | Over 3.5 | 40 of 87 (46%) |
| Points | 87 | 4.9 points | Over 4.5 | 46 of 87 (53%) |
| Market | Line | All logged | Last 10 |
|---|---|---|---|
| Rebounds | Over 2.5 | 57 of 87 (66%) | 8 of 10 (80%) |
| Rebounds | Over 3.5 | 40 of 87 (46%) | 2 of 10 (20%) |
| Rebounds | Over 5.5 | 27 of 87 (31%) | 1 of 10 (10%) |
| Points | Over 2.5 | 58 of 87 (67%) | 7 of 10 (70%) |
| Points | Over 4.5 | 46 of 87 (53%) | 5 of 10 (50%) |
| Points | Over 6.5 | 23 of 87 (26%) | 2 of 10 (20%) |
Every market Jordan Walsh 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 |
|---|---|---|---|---|
| 2026-11-11 | Toronto Raptors | Away | 3 | 6 |
| 2026-11-10 | Philadelphia 76ers | Away | 2 | 8 |
| 2026-11-08 | Milwaukee Bucks | Away | 3 | 0 |
| 2026-11-06 | Charlotte Hornets | Away | 3 | 6 |
| 2026-11-04 | Milwaukee Bucks | Home | 4 | 3 |
| 2026-11-02 | Houston Rockets | Away | 3 | 5 |
| 2026-11-01 | Orlando Magic | Away | 3 | 0 |
| 2026-10-30 | Chicago Bulls | Home | 2 | 2 |
| 2026-10-27 | Brooklyn Nets | Home | 6 | 15 |
| 2026-10-26 | Chicago Bulls | Home | 3 | 4 |
| 2026-10-23 | New York Knicks | Home | 3 | 5 |
| 2026-10-20 | Detroit Pistons | Away | 6 | 0 |
| 2026-05-02 | Philadelphia 76ers | Home | 0 | 0 |
| 2026-04-30 | Philadelphia 76ers | Away | 5 | 3 |
| 2026-04-28 | Philadelphia 76ers | Home | 3 | 1 |
| 2026-04-26 | Philadelphia 76ers | Away | 1 | 3 |
| Market | Meetings | Average in them | High | Average, all games |
|---|---|---|---|---|
| Points | 1 | 0.0 | 0 | 4.9 |
| Rebounds | 1 | 0.0 | 0 | 3.8 |
Counted from the same 87 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 | 1 |
| Median | 5 |
| 75th percentile | 7 |
| Highest logged game | 22 |
50 of 87 games (57%) landed between 1 and 7; 46 (53%) finished at or above the 5 median, and the spread from 0 to 22 is the whole range of the log. Nearest-rank, so every figure is a score Jordan Walsh actually recorded.
| Month | Logged games | Average |
|---|---|---|
| November 2026 | 7 | 4 |
| October 2026 | 5 | 5.2 |
| April 2026 | 13 | 4 |
| March 2026 | 8 | 4.1 |
| February 2026 | 10 | 4.6 |
| January 2026 | 16 | 3.5 |
| Gap | Logged games | Average |
|---|---|---|
| 1 day | 14 | 6.5 |
| 2 days | 48 | 4.5 |
| 3 to 4 days | 18 | 5.9 |
| 5 or more days | 6 | 3.2 |
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 |
|---|---|---|---|
| Philadelphia 76ers | 10 | 3.4 | 8 |
| Milwaukee Bucks | 6 | 6 | 20 |
| Brooklyn Nets | 5 | 7.8 | 15 |
| Chicago Bulls | 5 | 6.8 | 16 |
| Orlando Magic | 5 | 4.4 | 9 |
| New York Knicks | 5 | 4 | 8 |
Most-faced in this log is Philadelphia 76ers, 10 games at 3.4, best of 8. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Against their own 5 median rather than a posted line, Jordan Walsh's longest run at or above it is 8 games and the run open at the newest of the 87 is 2. Whether the bigger games cluster, not when the next one is.
Jordan Walsh has gone over 3.5 rebounds in 40 of 87 logged games (46%).
At home they average 4.0 over 40 games; away, 3.7 over 47.
Jordan Walsh rebounds: full game log, trend and hit rate by line
Jordan Walsh has gone over 4.5 points in 46 of 87 logged games (53%).
At home they average 5.4 over 40 games; away, 4.6 over 47.
Jordan Walsh points: full game log, trend and hit rate by line
Prop research for Jordan Walsh of the Boston Celtics. The books are currently pricing Rebounds and Points lines for Jordan Walsh, 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.