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 | Joey Ortiz 10 games | MIL vs MIL@PIT | RBI | 0.5 | +321 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 852 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 853 | MLB | Jonah Heim 10 games | ATH vs Athletics@ | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 854 | MLB | Jordan Walker 10 games | STL vs ATL@STL | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 855 | MLB | Jorge Polanco 4 games | NYM vs BOS@NYM | RBI | 0.5 | +230 | 0.3 | -0.3 | 1/4 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 856 | MLB | Jose Caballero 10 games | NYY vs NYY@WSN | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 857 | MLB | Jose Caballero 10 games | NYY vs NYY@WSN | RBI | 0.5 | +231 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 858 | MLB | Jose Caballero 10 games | NYY vs NYY@WSN | TB | 1.5 | +180 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 859 | MLB | Josh Jung 10 games | TEX vs HOU@TEX | RBI | 0.5 | +199 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 860 | MLB | Josh Lowe 10 games | LAA vs LAA@MIN | RBI | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 861 | MLB | Josh Naylor 10 games | SEA vs SEA@TBR | RBI | 0.5 | +215 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 862 | MLB | Josh Naylor 10 games | SEA vs SEA@TBR | TB | 1.5 | +150 | 1.2 | -0.3 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 863 | MLB | Jung Hoo Lee 10 games | SF vs COL@SFG | TB | 1.5 | +110 | 0.6 | -0.9 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 864 | MLB | Keibert Ruiz 10 games | WSH vs NYY@WSN | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 865 | MLB | Kerry Carpenter 10 games | DET vs PHI@DET | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 866 | MLB | Kevin McGonigle 10 games | DET vs PHI@DET | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 867 | MLB | Kyle Manzardo 10 games | CLE vs CLE@MIA | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 868 | MLB | Kyle Stowers 10 games | MIA vs CLE@MIA | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 869 | MLB | Kyle Teel 10 games | CWS vs Athletics@ | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 870 | MLB | Kyle Tucker 10 games | LAD vs ARI@LAD | RBI | 0.5 | +150 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 871 | MLB | Lane Thomas 10 games | KC vs KCR@BAL | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 872 | MLB | Lars Nootbaar 10 games | STL vs ATL@STL | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 873 | MLB | Lars Nootbaar 10 games | STL vs ATL@STL | R | 0.5 | +125 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 874 | MLB | Lourdes Gurriel Jr. 10 games | AZ vs ARI@LAD | RBI | 0.5 | +203 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 875 | MLB | Luis Campusano 8 games | SD vs TOR@SDP | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 876 | MLB | Luis Campusano 8 games | SD vs TOR@SDP | RBI | 0.5 | +285 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 877 | MLB | Luis Torrens 9 games | NYM vs BOS@NYM | RBI | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 878 | MLB | Manny Machado 10 games | SD vs TOR@SDP | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 879 | MLB | Manny Machado 10 games | SD vs TOR@SDP | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 880 | MLB | Masyn Winn 10 games | STL vs ATL@STL | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 881 | MLB | Matt Olson 10 games | ATL vs ATL@STL | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 882 | MLB | Matt Olson 10 games | ATL vs ATL@STL | RBI | 0.5 | +173 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 883 | MLB | Matt Vierling 10 games | DET vs PHI@DET | RBI | 0.5 | +325 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 884 | MLB | Max Kepler 10 games | AZ vs ARI@LAD | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 885 | MLB | Max Muncy 10 games | LAD vs ARI@LAD | RBI | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 886 | MLB | Max Schuemann 10 games | NYY vs NYY@WSN | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 887 | MLB | Max Schuemann 10 games | NYY vs NYY@WSN | RBI | 0.5 | +190 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 888 | MLB | Michael Busch 10 games | CHC vs CHC@CIN | RBI | 0.5 | +160 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 889 | MLB | Michael Busch 10 games | CHC vs CHC@CIN | TB | 1.5 | +130 | 1.2 | -0.3 | 1/5 | +-0 | 32 | F | 4.0 | WIN | LOSS | |
| 890 | MLB | Mickey Moniak 10 games | COL vs COL@SFG | R | 0.5 | +115 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 891 | MLB | Mickey Moniak 10 games | COL vs COL@SFG | RBI | 0.5 | +186 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 892 | MLB | Miguel Vargas 10 games | CWS vs Athletics@ | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 893 | MLB | Miguel Vargas 10 games | CWS vs Athletics@ | R | 0.5 | +115 | 0.4 | -0.1 | 1/5 | +-0 | 32 | F | 1.0 | WIN | LOSS | |
| 894 | MLB | Mitch Garver 10 games | SEA vs SEA@TBR | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 895 | MLB | Mitch Garver 10 games | SEA vs SEA@TBR | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 896 | MLB | Mitch Garver 10 games | SEA vs SEA@TBR | TB | 1.5 | +210 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 897 | MLB | Munetaka Murakami 10 games | CWS vs Athletics@ | HR | 0.5 | +280 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 898 | MLB | Nate Eaton 10 games | BOS vs BOS@NYM | RBI | 0.5 | +225 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 899 | MLB | Nathan Lukes 10 games | TOR vs TOR@SDP | TB | 1.5 | +143 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 4.0 | WIN | LOSS | |
| 900 | MLB | Nick Loftin 10 games | KC vs KCR@BAL | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING |
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.