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 | Max Kepler 10 games | AZ vs Athletics@ | TB | 1.5 | +140 | 1.2 | -0.3 | 1/5 | +0 | 32 | F | 5.0 | WIN | LOSS | |
| 902 | MLB | Max Muncy 10 games | LAD vs LAD@PHI | HR | 0.5 | +400 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 903 | MLB | Max Muncy 10 games | LAD vs LAD@PHI | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 904 | MLB | Michael Massey 10 games | KC vs SFG@KCR | RBI | 0.5 | +226 | 0.4 | -0.1 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 905 | MLB | Mickey Moniak 10 games | COL vs WSN@COL | RBI | 0.5 | +115 | 0.4 | -0.1 | 1/5 | +0.4 | 32 | F | 2.0 | WIN | LOSS | |
| 906 | MLB | Miguel Amaya 10 games | CHC vs DET@CHC | RBI | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 907 | MLB | Miguel Vargas 10 games | CWS vs CHW@TEX | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 908 | MLB | Miles Mikolas 10 games | WSH vs WSN@COL | K | 2.5 | -121 | 1.8 | -0.7 | 2/5 | -0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 909 | MLB | Mookie Betts 10 games | LAD vs LAD@PHI | HR | 0.5 | +650 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 910 | MLB | Nathan Church 10 games | STL vs STL@LAA | RBI | 0.5 | +212 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 911 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 912 | MLB | Nathan Lukes 10 games | TOR vs TBR@TOR | RBI | 0.5 | +288 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 913 | MLB | Nick Loftin 10 games | KC vs SFG@KCR | RBI | 0.5 | +231 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 914 | MLB | Nicky Lopez 10 games | TEX vs CHW@TEX | TB | 1.5 | +275 | 1 | -0.5 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 915 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | R | 0.5 | +150 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 916 | MLB | Noelvi Marte 10 games | CIN vs CIN@SEA | TB | 1.5 | +185 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 917 | MLB | Nolan Arenado 10 games | AZ vs Athletics@ | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 918 | MLB | Oswald Peraza 10 games | LAA vs STL@LAA | R | 0.5 | +145 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 919 | MLB | Oswald Peraza 10 games | LAA vs STL@LAA | TB | 1.5 | +200 | 0.6 | -0.9 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 920 | MLB | Otto Lopez 10 games | MIA vs MIA@HOU | RBI | 0.5 | +216 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 921 | MLB | Otto Lopez 10 games | MIA vs MIA@HOU | TB | 1.5 | +127 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 922 | MLB | Ozzie Albies 10 games | ATL vs SDP@ATL | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 923 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 924 | MLB | Paul Goldschmidt 10 games | NYY vs PIT@NYY | RBI | 0.5 | +191 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 925 | MLB | Petey Halpin 10 games | CLE vs MIN@CLE | HR | 0.5 | +900 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 926 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 927 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | RBI | 0.5 | +153 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 928 | MLB | Rafael Devers 10 games | SF vs SFG@KCR | TB | 1.5 | +120 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 929 | MLB | Randy Arozarena 10 games | SEA vs CIN@SEA | TB | 1.5 | +140 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 930 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | R | 0.5 | +190 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 931 | MLB | Richie Palacios 10 games | TB vs TBR@TOR | TB | 1.5 | +210 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 932 | MLB | Royce Lewis 10 games | MIN vs MIN@CLE | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 933 | MLB | Ryan Jeffers 5 games | MIN vs MIN@CLE | HR | 0.5 | +500 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 934 | MLB | Ryan Jeffers 5 games | MIN vs MIN@CLE | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 935 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | R | 0.5 | +200 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 936 | MLB | Ryan Kreidler 10 games | MIN vs MIN@CLE | RBI | 0.5 | +304 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 937 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 938 | MLB | Ryan McMahon 10 games | NYY vs PIT@NYY | RBI | 0.5 | +205 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 939 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | RBI | 0.5 | +231 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 940 | MLB | Ryan Waldschmidt 10 games | AZ vs Athletics@ | TB | 1.5 | +185 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | — | PENDING | PENDING | |
| 941 | MLB | Sal Stewart 10 games | CIN vs CIN@SEA | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 942 | MLB | Sal Stewart 10 games | CIN vs CIN@SEA | R | 0.5 | +125 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 943 | MLB | Seiya Suzuki 10 games | CHC vs DET@CHC | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 944 | MLB | Seiya Suzuki 10 games | CHC vs DET@CHC | RBI | 0.5 | +182 | 0.4 | -0.1 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 945 | MLB | Shea Langeliers 10 games | ATH vs Athletics@ | HR | 0.5 | +300 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 946 | MLB | Shohei Ohtani 10 games | LAD vs LAD@PHI | HR | 0.5 | +250 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 947 | MLB | Spencer Steer 10 games | CIN vs CIN@SEA | HR | 0.5 | +500 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 948 | MLB | Spencer Steer 10 games | CIN vs CIN@SEA | R | 0.5 | +145 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 949 | MLB | Spencer Torkelson 10 games | DET vs DET@CHC | HR | 0.5 | +380 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 950 | MLB | Spencer Torkelson 10 games | DET vs DET@CHC | R | 0.5 | +115 | 0.4 | -0.1 | 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.