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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 851 | MLB | Jackson Holliday 10 games | BAL vs BAL@MIN | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Jackson Holliday 10 games | BAL vs BAL@MIN | RBI | 0.5 | +198 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@MIA | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@MIA | R | 0.5 | +222 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@MIA | TB | 1.5 | +280 | 1.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 856 | MLB | Jacob Wilson 10 games | ATH vs TBR@Athlet | H | 1.5 | +180 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 857 | MLB | Jacob Wilson 10 games | ATH vs TBR@Athlet | R | 0.5 | +136 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 858 | MLB | Jacob Wilson 10 games | ATH vs TBR@Athlet | RBI | 0.5 | +207 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 859 | MLB | Jake Bauers 10 games | MIL vs MIL@SDP | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Jake Burger 10 games | TEX vs TEX@LAA | R | 0.5 | +120 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 861 | MLB | Jake Burger 10 games | TEX vs TEX@LAA | RBI | 0.5 | +135 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Jake Cronenworth 10 games | SD vs MIL@SDP | R | 0.5 | +230 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 863 | MLB | Jake Cronenworth 10 games | SD vs MIL@SDP | TB | 1.5 | +275 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 864 | MLB | Jake Mangum 10 games | PIT vs PIT@MIA | HR | 0.5 | +1300 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Jake McCarthy 10 games | COL vs COL@ARI | HR | 0.5 | +900 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | James Jarvis 10 games | vs NYM@ATL | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | James Jarvis 10 games | vs NYM@ATL | RBI | 0.5 | +320 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Jarren Duran 10 games | BOS vs BOS@TOR | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Jazz Chisholm Jr. 10 games | NYY vs SEA@NYY | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Jazz Chisholm Jr. 10 games | NYY vs SEA@NYY | R | 0.5 | +131 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 871 | MLB | Jazz Chisholm Jr. 10 games | NYY vs SEA@NYY | TB | 1.5 | +150 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 872 | MLB | JJ Bleday 10 games | CIN vs CIN@CHW | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | JJ Bleday 10 games | CIN vs CIN@CHW | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 874 | MLB | JJ Bleday 10 games | CIN vs CIN@CHW | RBI | 0.5 | +202 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 875 | MLB | Joc Pederson 10 games | TEX vs TEX@LAA | HR | 0.5 | +260 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 876 | MLB | Joc Pederson 10 games | TEX vs TEX@LAA | RBI | 0.5 | +140 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 877 | MLB | Joc Pederson 10 games | TEX vs TEX@LAA | TB | 1.5 | +110 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 4.0 | WIN | LOSS | |
| 878 | MLB | Joe Mack 10 games | MIA vs PIT@MIA | H | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Joe Mack 10 games | MIA vs PIT@MIA | R | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 880 | MLB | Joe Mack 10 games | MIA vs PIT@MIA | RBI | 0.5 | +339 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Joey Ortiz 10 games | MIL vs MIL@SDP | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 882 | MLB | Jonah Heim 10 games | ATH vs TBR@Athlet | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Jonah Heim 10 games | ATH vs TBR@Athlet | TB | 1.5 | +135 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Jonathan Aranda 10 games | TB vs TBR@Athlet | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 885 | MLB | Jordan Beck 5 games | COL vs COL@ARI | R | 0.5 | +165 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Jordan Walker 10 games | STL vs PHI@STL | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Jorge Polanco 10 games | NYM vs NYM@ATL | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Jorge Polanco 10 games | NYM vs NYM@ATL | R | 0.5 | +162 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 889 | MLB | Jorge Polanco 10 games | NYM vs NYM@ATL | RBI | 0.5 | +218 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 890 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 891 | MLB | Jose Altuve 10 games | HOU vs HOU@SFG | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 892 | MLB | Josh Naylor 10 games | SEA vs SEA@NYY | H | 1.5 | +300 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 893 | MLB | Josh Naylor 10 games | SEA vs SEA@NYY | HR | 0.5 | +700 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 894 | MLB | Josh Naylor 10 games | SEA vs SEA@NYY | R | 0.5 | +170 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 895 | MLB | Josh Naylor 10 games | SEA vs SEA@NYY | RBI | 0.5 | +241 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 896 | MLB | Jung Hoo Lee 10 games | SF vs HOU@SFG | HR | 0.5 | +1400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Kaelen Culpepper 3 games | MIN vs BAL@MIN | HR | 0.5 | +850 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 898 | MLB | Kaelen Culpepper 3 games | MIN vs BAL@MIN | TB | 1.5 | +190 | 1.3 | -0.2 | 1/3 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 899 | MLB | Kazuma Okamoto 10 games | TOR vs BOS@TOR | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 900 | MLB | Ketel Marte 10 games | AZ vs COL@ARI | H | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS |
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.