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Over 118 NBA games since October 2025, Julian Champagnie has gone over the posted 8.5 points 72 times (61%), and over their last 10 they have done it 5 times (50%). They average 11.0 points across those 118 games. Their last 5 (10.4) are in line with their 10.0 this season (13 games), so there is no recent move to read into. Against the Utah Jazz in this log they have 5 games, averaging 9.6. These are measured box-score results from San Antonio Spurs games, not a projection, and on their own they say nothing about whether the posted price is worth taking.
Sunday, November 15, 5:10 PM ET, on the road against the Utah Jazz. Last logged game November 13, 2 days before.
| Market | Logged games | Average | Most balanced line | Hit rate there |
|---|---|---|---|---|
| Rebounds | 118 | 5.6 rebounds | Over 5.5 | 55 of 118 (47%) |
| 3-Pointers Made | 118 | 2.5 three-pointers | Over 2.5 | 49 of 118 (42%) |
| Points | 118 | 11.0 points | Over 10.5 | 59 of 118 (50%) |
| Market | Line | All logged | Last 10 |
|---|---|---|---|
| Rebounds | Over 4.5 | 73 of 118 (62%) | 4 of 10 (40%) |
| Rebounds | Over 5.5 | 55 of 118 (47%) | 4 of 10 (40%) |
| Rebounds | Over 6.5 | 41 of 118 (35%) | 2 of 10 (20%) |
| 3-Pointers Made | Over 1.5 | 79 of 118 (67%) | 8 of 10 (80%) |
| 3-Pointers Made | Over 2.5 | 49 of 118 (42%) | 5 of 10 (50%) |
| 3-Pointers Made | Over 3.5 | 29 of 118 (25%) | 2 of 10 (20%) |
| Points | Over 7.5 | 85 of 118 (72%) | 7 of 10 (70%) |
| Points | Over 10.5 | 59 of 118 (50%) | 5 of 10 (50%) |
| Points | Over 13.5 | 34 of 118 (29%) | 2 of 10 (20%) |
Every market Julian Champagnie 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 | 3-Pointers Made | Points |
|---|---|---|---|---|---|
| 2026-11-13 | Golden State Warriors | Home | 8 | 1 | 7 |
| 2026-11-11 | Chicago Bulls | Away | 0 | 3 | 12 |
| 2026-11-09 | Phoenix Suns | Away | 3 | 3 | 11 |
| 2026-11-07 | Portland Trail Blazers | Away | 4 | 4 | 14 |
| 2026-11-06 | Sacramento Kings | Away | 7 | 2 | 8 |
| 2026-11-04 | Dallas Mavericks | Home | 4 | 0 | 0 |
| 2026-11-02 | Utah Jazz | Home | 6 | 2 | 8 |
| 2026-10-31 | Minnesota Timberwolves | Home | 3 | 3 | 12 |
| 2026-10-28 | Utah Jazz | Away | 6 | 2 | 6 |
| 2026-10-27 | Sacramento Kings | Home | 3 | 8 | 26 |
| 2026-10-24 | Dallas Mavericks | Away | 5 | 3 | 12 |
| 2026-10-23 | Houston Rockets | Home | 0 | 2 | 6 |
| 2026-10-20 | Oklahoma City Thunder | Home | 3 | 2 | 8 |
| 2026-06-13 | New York Knicks | Home | 7 | 4 | 14 |
| 2026-06-10 | New York Knicks | Away | 5 | 1 | 5 |
| 2026-06-08 | New York Knicks | Away | 1 | 3 | 12 |
| Market | Meetings | Average in them | High | Average, all games |
|---|---|---|---|---|
| 3-Pointers Made | 5 | 2.4 | 5 | 2.5 |
| Points | 5 | 9.6 | 17 | 11.0 |
| Rebounds | 5 | 4.8 | 6 | 5.6 |
Counted from the same 118 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 | 7 |
| Median | 10 |
| 75th percentile | 14 |
| Highest logged game | 36 |
69 of 118 games (58%) landed between 7 and 14; 65 (55%) finished at or above the 10 median, and the spread from 0 to 36 is the whole range of the log. Nearest-rank, so every figure is a score Julian Champagnie actually recorded.
| Month | Logged games | Average |
|---|---|---|
| November 2026 | 7 | 8.6 |
| October 2026 | 6 | 11.7 |
| June 2026 | 5 | 11 |
| May 2026 | 13 | 11.7 |
| April 2026 | 12 | 10.6 |
| March 2026 | 16 | 10.3 |
| Gap | Logged games | Average |
|---|---|---|
| 1 day | 18 | 13.8 |
| 2 days | 69 | 10.3 |
| 3 to 4 days | 25 | 11.4 |
| 5 or more days | 5 | 10.2 |
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 |
|---|---|---|---|
| Oklahoma City Thunder | 13 | 9.2 | 22 |
| Minnesota Timberwolves | 10 | 10.7 | 18 |
| Portland Trail Blazers | 9 | 11 | 20 |
| New York Knicks | 7 | 13.4 | 36 |
| Dallas Mavericks | 6 | 8.3 | 14 |
| Sacramento Kings | 5 | 14.2 | 26 |
Most-faced in this log is Oklahoma City Thunder, 13 games at 9.2, best of 22. Counts sit beside every average because two meetings is a low bar; opponents faced once are left out.
Against their own 10 median rather than a posted line, Julian Champagnie's longest run at or above it is 7 games and the run open at the newest of the 118 is 0. Whether the bigger games cluster, not when the next one is.
| Market | Average | Spread | Reads as | Games |
|---|---|---|---|---|
| rebounds | 5.6 | 2.6 | mixed | 118 |
| points | 11.0 | 6.3 | mixed | 118 |
| 3-pointers made | 2.5 | 1.9 | volatile | 118 |
Their rebounds is the steadiest of the 3 markets measured here, averaging 5.6 with a spread of 2.6; their 3-pointers made swings most, 2.5 with a spread of 1.9. Spread describes how far past games sat from the average. It is not a forecast of the next one.
Julian Champagnie has gone over 5.5 rebounds in 55 of 118 logged games (47%).
At home they average 5.4 over 59 games; away, 5.7 over 59.
Julian Champagnie rebounds: full game log, trend and hit rate by line
Julian Champagnie has gone over 2.5 three-pointers in 49 of 118 logged games (42%).
At home they average 2.4 over 59 games; away, 2.6 over 59.
Julian Champagnie 3-pointers made: full game log, trend and hit rate by line
Julian Champagnie has gone over 10.5 points in 59 of 118 logged games (50%).
At home they average 10.8 over 59 games; away, 11.2 over 59.
Julian Champagnie points: full game log, trend and hit rate by line
Prop research for Julian Champagnie of the San Antonio Spurs. The books are currently pricing Rebounds, 3-Pointers Made and Points lines for Julian Champagnie, 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, 3-Pointers Made 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.