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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 901 | MLB | Gavin Williams 9 games | CLE vs PIT@CLE | K | 8.5 | +225 | 7 | -1.5 | 1/5 | +0.9 | 32 | F | 11.0 | WIN | LOSS | |
| 902 | MLB | George Springer 10 games | TOR vs CHW@TOR | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 903 | MLB | George Springer 10 games | TOR vs CHW@TOR | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 904 | MLB | Geraldo Perdomo 10 games | AZ vs STL@ARI | R | 1.5 | +600 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 905 | MLB | Griffin Canning 10 games | SD vs SDP@KCR | K | 3.5 | -130 | 3.2 | -0.3 | 2/5 | -0.1 | 32 | F | 4.0 | WIN | LOSS | |
| 906 | MLB | Gunnar Henderson 10 games | BAL vs BAL@HOU | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 907 | MLB | Henry Davis 10 games | PIT vs PIT@CLE | H | 1.5 | +500 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 908 | MLB | Henry Davis 10 games | PIT vs PIT@CLE | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 909 | MLB | Hunter Goodman 10 games | COL vs CIN@COL | H | 1.5 | +160 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 910 | MLB | Hunter Goodman 10 games | COL vs CIN@COL | TB | 1.5 | -135 | 1 | -0.5 | 2/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 911 | MLB | Ian Happ 10 games | CHC vs MIN@CHC | H | 1.5 | +380 | 1 | -0.5 | 1/5 | +-0 | 32 | F | 0.0 | LOSS | WIN | |
| 912 | MLB | Ian Happ 10 games | CHC vs MIN@CHC | RBI | 0.5 | +175 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 913 | MLB | Ildemaro Vargas 10 games | AZ vs STL@ARI | R | 0.5 | +175 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 914 | MLB | Ildemaro Vargas 10 games | AZ vs STL@ARI | RBI | 0.5 | +233 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | — | PENDING | PENDING | |
| 915 | MLB | Isaac Collins 10 games | KC vs SDP@KCR | HR | 0.5 | +700 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 916 | MLB | Isaac Collins 10 games | KC vs SDP@KCR | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 917 | MLB | Isaac Paredes 10 games | HOU vs BAL@HOU | R | 0.5 | +125 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 918 | MLB | Ivan Herrera 10 games | STL vs STL@ARI | H | 1.5 | +200 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 919 | MLB | Ivan Herrera 10 games | STL vs STL@ARI | RBI | 0.5 | +208 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 920 | MLB | Ivan Herrera 10 games | STL vs STL@ARI | TB | 1.5 | +125 | 0.6 | -0.9 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 921 | MLB | J.T. Realmuto 10 games | PHI vs NYM@PHI | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 922 | MLB | Jac Caglianone 10 games | KC vs SDP@KCR | H | 1.5 | +197 | 1.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | LOSS | WIN | |
| 923 | MLB | Jac Caglianone 10 games | KC vs SDP@KCR | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 924 | MLB | Jackson Chourio 10 games | MIL vs MIA@MIL | RBI | 0.5 | +179 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 925 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 926 | MLB | Jackson Holliday 10 games | BAL vs BAL@HOU | RBI | 0.5 | +253 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 927 | MLB | Jackson Merrill 10 games | SD vs SDP@KCR | H | 1.5 | +144 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 928 | MLB | Jackson Merrill 10 games | SD vs SDP@KCR | RBI | 0.5 | +138 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 929 | MLB | Jacob Young 10 games | WSH vs WSN@Athlet | H | 1.5 | +280 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 930 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | H | 1.5 | +400 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 931 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 932 | MLB | Jake Bauers 10 games | MIL vs MIA@MIL | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 933 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 934 | MLB | Jake Burger 10 games | TEX vs TEX@ATL | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 935 | MLB | Jake Mangum 10 games | PIT vs PIT@CLE | HR | 0.5 | +1200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 936 | MLB | Jake McCarthy 10 games | COL vs CIN@COL | H | 1.5 | +140 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 937 | MLB | Jake McCarthy 10 games | COL vs CIN@COL | HR | 0.5 | +750 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 938 | MLB | Jakob Marsee 10 games | MIA vs MIA@MIL | R | 0.5 | +160 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | — | PENDING | PENDING | |
| 939 | MLB | Jakob Marsee 10 games | MIA vs MIA@MIL | RBI | 0.5 | +277 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 940 | MLB | James Outman 10 games | DET vs DET@LAA | RBI | 0.5 | +275 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 941 | MLB | James Outman 10 games | DET vs DET@LAA | TB | 1.5 | +230 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 942 | MLB | James Wood 10 games | WSH vs WSN@Athlet | RBI | 1.5 | +400 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 943 | MLB | Jared Jones 8 games | PIT vs PIT@CLE | K | 6.5 | +230 | 5 | -1.5 | 1/5 | +1.1 | 32 | F | 9.0 | WIN | LOSS | |
| 944 | MLB | Jared Triolo 10 games | PIT vs PIT@CLE | RBI | 0.5 | +275 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 945 | MLB | Jarren Duran 10 games | BOS vs TBR@BOS | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 946 | MLB | Jasson Domínguez 10 games | NYY vs LAD@NYY | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 947 | MLB | Jasson Domínguez 10 games | NYY vs LAD@NYY | RBI | 0.5 | +221 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 948 | MLB | Javier Sanoja 10 games | MIA vs MIA@MIL | H | 1.5 | +320 | 0.8 | -0.7 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 949 | MLB | Jazz Chisholm Jr. 10 games | NYY vs LAD@NYY | HR | 0.5 | +375 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 950 | MLB | Jeff McNeil 10 games | ATH vs WSN@Athlet | RBI | 0.5 | +185 | 0.2 | -0.3 | 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.