Pre-game prop analysis powered by recent player performance. Every prop graded before tipoff.
| # | Sport | Player | Matchup | Stat | Line | Odds | L5 Avg | Edge | Hit | Trend | Score | Grade | Final | Over | Under | Books |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 801 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Christian Walker 10 games | HOU vs HOU@CHW | TB | 1.5 | +155 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 803 | MLB | CJ Abrams 10 games | WSH vs ARI@WSN | R | 1.5 | +700 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 1.0 | LOSS | WIN | |
| 804 | MLB | Corbin Carroll 10 games | AZ vs ARI@WSN | H | 1.5 | +240 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 805 | MLB | Corbin Carroll 10 games | AZ vs ARI@WSN | R | 1.5 | +700 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 806 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 807 | MLB | Dalton Rushing 10 games | LAD vs LAD@NYM | TB | 1.5 | +195 | 1.2 | -0.3 | 1/5 | +0.9 | 35 | F | 1.0 | LOSS | WIN | |
| 808 | MLB | Daniel Susac 10 games | SF vs LAA@SFG | TB | 1.5 | +200 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 809 | MLB | Dansby Swanson 10 games | CHC vs CHC@PIT | R | 1.5 | +1300 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 810 | MLB | Daulton Varsho 10 games | TOR vs TOR@BOS | H | 1.5 | +300 | 1.2 | -0.3 | 1/5 | +0.5 | 35 | F | 2.0 | WIN | LOSS | |
| 811 | MLB | Dominic Smith 10 games | ATL vs ATL@BAL | RBI | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 812 | MLB | Dominic Smith 10 games | ATL vs ATL@BAL | TB | 1.5 | +170 | 1 | -0.5 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Dylan Crews 10 games | WSH vs ARI@WSN | RBI | 1.5 | +475 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 814 | MLB | Evan Carter 10 games | TEX vs SEA@TEX | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | -0.3 | 35 | F | 1.0 | WIN | LOSS | |
| 815 | MLB | Gabriel Moreno 10 games | AZ vs ARI@WSN | RBI | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 2.0 | WIN | LOSS | |
| 816 | MLB | Ian Happ 10 games | CHC vs CHC@PIT | H | 1.5 | +380 | 1 | -0.5 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Ildemaro Vargas 10 games | AZ vs ARI@WSN | R | 1.5 | +1300 | 1 | -0.5 | 1/5 | +1 | 35 | F | 0.0 | LOSS | WIN | |
| 818 | MLB | Isaac Paredes 10 games | HOU vs HOU@CHW | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 3.0 | WIN | LOSS | |
| 819 | MLB | James Jarvis 10 games | vs ATL@BAL | H | 0.5 | -140 | 0.8 | +0.3 | 2/5 | -0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | James Outman 10 games | DET vs KCR@DET | RBI | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | — | PENDING | PENDING | |
| 821 | MLB | James Outman 10 games | DET vs KCR@DET | TB | 1.5 | +230 | 1.2 | -0.3 | 1/5 | +0.7 | 35 | F | — | PENDING | PENDING | |
| 822 | MLB | James Wood 10 games | WSH vs ARI@WSN | R | 0.5 | -145 | 0.6 | +0.1 | 2/5 | -0.4 | 35 | F | 0.0 | LOSS | WIN | |
| 823 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | H | 1.5 | +380 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 824 | MLB | Jarren Duran 10 games | BOS vs TOR@BOS | TB | 1.5 | +175 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 825 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | TB | 1.5 | +140 | 1.4 | -0.1 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | RBI | 1.5 | +550 | 0.6 | -0.9 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 827 | MLB | Kazuma Okamoto 10 games | TOR vs TOR@BOS | TB | 1.5 | +155 | 1.2 | -0.3 | 1/5 | +1.1 | 35 | F | 1.0 | LOSS | WIN | |
| 828 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TBR | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 829 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 830 | MLB | Kyle Stowers 10 games | MIA vs SDP@MIA | TB | 1.5 | +140 | 1 | -0.5 | 1/5 | +0.7 | 35 | F | 1.0 | LOSS | WIN | |
| 831 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +0.2 | 35 | F | 1.0 | WIN | LOSS | |
| 832 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 1.0 | LOSS | WIN | |
| 833 | MLB | Kyle Tucker 10 games | LAD vs LAD@NYM | TB | 1.5 | +180 | 1.2 | -0.3 | 1/5 | +0.8 | 35 | F | 4.0 | WIN | LOSS | |
| 834 | MLB | Lars Nootbaar 10 games | STL vs CIN@STL | H | 0.5 | -140 | 0.6 | +0.1 | 2/5 | +0.1 | 35 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | Marcus Semien 10 games | NYM vs LAD@NYM | TB | 1.5 | +250 | 1 | -0.5 | 1/5 | +1.1 | 35 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Matt Olson 10 games | ATL vs ATL@BAL | RBI | 1.5 | +400 | 0.8 | -0.7 | 1/5 | +0.8 | 35 | F | 0.0 | LOSS | WIN | |
| 837 | MLB | Mitch Bratt 3 games | AZ vs ARI@WSN | K | 2.5 | -400 | 2.3 | -0.2 | 2/3 | +0 | 35 | F | 3.0 | WIN | LOSS | |
| 838 | MLB | Oswald Peraza 10 games | LAA vs LAA@SFG | H | 1.5 | +360 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 839 | MLB | Oswald Peraza 10 games | LAA vs LAA@SFG | TB | 1.5 | +190 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 840 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | H | 1.5 | +450 | 1.4 | -0.1 | 1/5 | +0.9 | 35 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | R | 1.5 | +1300 | 0.8 | -0.7 | 1/5 | +0.7 | 35 | F | 0.0 | LOSS | WIN | |
| 842 | MLB | Patrick Bailey 10 games | CLE vs CLE@TBR | RBI | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Pete Alonso 10 games | BAL vs ATL@BAL | H | 1.5 | +240 | 0.8 | -0.7 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 844 | MLB | Pete Crow-Armstrong 10 games | CHC vs CHC@PIT | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 3.0 | WIN | LOSS | |
| 845 | MLB | Richie Palacios 10 games | TB vs CLE@TBR | RBI | 1.5 | +1000 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 846 | MLB | Ryan Waldschmidt 10 games | AZ vs ARI@WSN | RBI | 1.5 | +900 | 0.6 | -0.9 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN | |
| 847 | MLB | Ryan Weathers 9 games | NYY vs NYY@PHI | K | 5.5 | -160 | 5.2 | -0.3 | 3/5 | +0.1 | 35 | F | 7.0 | WIN | LOSS | |
| 848 | MLB | Spencer Torkelson 10 games | DET vs KCR@DET | H | 0.5 | -150 | 0.6 | +0.1 | 2/5 | +0.2 | 35 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Spencer Torkelson 10 games | DET vs KCR@DET | R | 1.5 | +900 | 0.6 | -0.9 | 1/5 | +0.5 | 35 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Willson Contreras 10 games | BOS vs TOR@BOS | H | 1.5 | +340 | 1.2 | -0.3 | 1/5 | +0.6 | 35 | F | 0.0 | LOSS | WIN |
Every prop scored on a 0–100 scale before tipoff — built to separate high-confidence plays from coin flips.
The Prop Grader analyzes every available player prop before games begin. It pulls recent performance data — the last 5 to 10 games — and runs each prop through a multi-factor scoring model. The result is a composite score and letter grade that tells you how confident the data is behind any given prop.
Scoring Factors
Edge vs Line (up to 35 pts) — How far the player's recent average sits above or below the prop line. A large positive edge means the player has been consistently clearing this number.
Hit Rate (up to 25 pts) — Out of the last 5 games, how many times did the player actually beat this line? A 5/5 hit rate earns full marks.
Trend (up to 15 pts) — Is the player trending up or down? Compares the last 3 games against the last 10 to detect momentum shifts.
Role Stability (up to 15 pts) — For NBA, this checks minutes consistency. A starter playing 34+ minutes with low variance is more predictable than someone fluctuating between 20 and 35.
Odds Value (up to 10 pts) — Props with plus-money or short juice are more valuable than heavily juiced lines. Better odds mean better expected value.
Grade Scale
A (85–100) — Elite. Strong edge, near-perfect hit rate, positive trend, stable role. These are the highest-confidence props on the board.
B (75–84) — Strong. Most factors are favorable. Solid plays with data backing them up.
C (65–74) — Average. The numbers lean positive but there may be a weak factor pulling the score down.
D (55–64) — Below average. The edge is thin or the recent track record is inconsistent.
F (below 55) — Weak. The data doesn't support this prop. Proceed with caution or skip entirely.
Grades are computed before tipoff using data available at that time. After games complete, each prop is matched against the actual box score and marked as a win, loss, or push.