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 | Braden Montgomery 10 games | CWS vs CHW@TOR | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 802 | MLB | Brandon Lowe 10 games | PIT vs PIT@CLE | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | +-0 | 32 | F | 1.0 | LOSS | WIN | |
| 803 | MLB | Brandon Nimmo 10 games | TEX vs TEX@ATL | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 804 | MLB | Brandon Pfaadt 7 games | AZ vs STL@ARI | K | 4.5 | +180 | 2.8 | -1.7 | 1/5 | +1.3 | 32 | F | 3.0 | LOSS | WIN | |
| 805 | MLB | Brayan Rocchio 10 games | CLE vs PIT@CLE | R | 1.5 | +1000 | 0.8 | -0.7 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 806 | MLB | Brice Turang 10 games | MIL vs MIA@MIL | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 807 | MLB | Brooks Lee 10 games | MIN vs MIN@CHC | RBI | 0.5 | +199 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 808 | MLB | Bryan Reynolds 10 games | PIT vs PIT@CLE | H | 1.5 | +260 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 809 | MLB | Bryan Reynolds 10 games | PIT vs PIT@CLE | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 810 | MLB | Bryan Reynolds 10 games | PIT vs PIT@CLE | R | 1.5 | +900 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 811 | MLB | Bryce Eldridge 10 games | SF vs SFG@SEA | H | 1.5 | +400 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 812 | MLB | Bryce Eldridge 10 games | SF vs SFG@SEA | RBI | 1.5 | +700 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 813 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 814 | MLB | Bryson Stott 10 games | PHI vs NYM@PHI | RBI | 0.5 | +235 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 815 | MLB | Caleb Durbin 10 games | BOS vs TBR@BOS | HR | 0.5 | +850 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 816 | MLB | Caleb Durbin 10 games | BOS vs TBR@BOS | RBI | 0.5 | +204 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 817 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | HR | 0.5 | +575 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 818 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 819 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | RBI | 0.5 | +213 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 820 | MLB | Cam Smith 10 games | HOU vs BAL@HOU | TB | 1.5 | +145 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 821 | MLB | Carson Benge 10 games | NYM vs NYM@PHI | RBI | 0.5 | +260 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 822 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 823 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | RBI | 0.5 | +200 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 824 | MLB | Carson Kelly 10 games | CHC vs MIN@CHC | TB | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 825 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | RBI | 0.5 | +160 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 826 | MLB | Carter Jensen 10 games | KC vs SDP@KCR | TB | 1.5 | +115 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 827 | MLB | Chandler Simpson 10 games | TB vs TBR@BOS | RBI | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 828 | MLB | Chase DeLauter 10 games | CLE vs PIT@CLE | RBI | 1.5 | +550 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 829 | MLB | Christian Walker 10 games | HOU vs BAL@HOU | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 830 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | H | 1.5 | +300 | 0.8 | -0.7 | 0/5 | +0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 831 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 832 | MLB | Christian Yelich 10 games | MIL vs MIA@MIL | RBI | 0.5 | +233 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 833 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | H | 1.5 | +220 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 834 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 835 | MLB | CJ Abrams 10 games | WSH vs WSN@Athlet | RBI | 0.5 | +133 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 836 | MLB | Cody Bellinger 10 games | NYY vs LAD@NYY | R | 0.5 | +125 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 837 | MLB | Cody Bellinger 10 games | NYY vs LAD@NYY | RBI | 0.5 | +175 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | — | PENDING | PENDING | |
| 838 | MLB | Cole Young 10 games | SEA vs SFG@SEA | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 839 | MLB | Cole Young 10 games | SEA vs SFG@SEA | RBI | 0.5 | +255 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 3.0 | WIN | LOSS | |
| 840 | MLB | Colson Montgomery 10 games | CWS vs CHW@TOR | RBI | 1.5 | +400 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 841 | MLB | Colt Emerson 10 games | SEA vs SFG@SEA | RBI | 0.5 | +332 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 842 | MLB | Colt Keith 10 games | DET vs DET@LAA | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 843 | MLB | Colt Keith 10 games | DET vs DET@LAA | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 844 | MLB | Colt Keith 10 games | DET vs DET@LAA | RBI | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 845 | MLB | Connor Wong 10 games | BOS vs TBR@BOS | R | 0.5 | +155 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 846 | MLB | Connor Wong 10 games | BOS vs TBR@BOS | RBI | 0.5 | +252 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 847 | MLB | Cooper Pratt 10 games | MIL vs MIA@MIL | R | 0.5 | +170 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 848 | MLB | Cooper Pratt 10 games | MIL vs MIA@MIL | RBI | 1.5 | +700 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 849 | MLB | Corbin Carroll 10 games | AZ vs STL@ARI | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 850 | MLB | Corbin Carroll 10 games | AZ vs STL@ARI | R | 1.5 | +550 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | 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.