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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 951 | MLB | Jared Triolo 10 games | PIT vs PIT@ATL | TB | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 952 | MLB | Jarren Duran 10 games | BOS vs BOS@NYY | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 953 | MLB | Javier Sanoja 10 games | MIA vs TBR@MIA | RBI | 0.5 | +244 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 954 | MLB | Jazz Chisholm Jr. 10 games | NYY vs BOS@NYY | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 955 | MLB | Jazz Chisholm Jr. 10 games | NYY vs BOS@NYY | TB | 1.5 | +185 | 1.2 | -0.3 | 1/5 | -0.5 | 32 | F | 4.0 | WIN | LOSS | |
| 956 | MLB | Jhonny Pereda 10 games | SEA vs SEA@DET | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 957 | MLB | Jimmy Crooks 5 games | STL vs CIN@STL | H | 1.5 | +400 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 958 | MLB | Jimmy Crooks 5 games | STL vs CIN@STL | TB | 1.5 | +200 | 0.8 | -0.7 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 959 | MLB | JJ Bleday 10 games | CIN vs CIN@STL | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 960 | MLB | JJ Bleday 10 games | CIN vs CIN@STL | R | 0.5 | +105 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 961 | MLB | Jo Adell 10 games | LAA vs LAA@LAD | R | 0.5 | +153 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 4.0 | WIN | LOSS | |
| 962 | MLB | Joe Mack 10 games | MIA vs TBR@MIA | H | 1.5 | +450 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 963 | MLB | Joe Mack 10 games | MIA vs TBR@MIA | HR | 0.5 | +1100 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 964 | MLB | Joe Mack 10 games | MIA vs TBR@MIA | R | 0.5 | +225 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 965 | MLB | Joey Ortiz 10 games | MIL vs MIL@COL | RBI | 0.5 | +135 | 0.4 | -0.1 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 966 | MLB | Joey Ortiz 10 games | MIL vs MIL@COL | TB | 1.5 | +110 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 967 | MLB | Jonathan Aranda 10 games | TB vs TBR@MIA | RBI | 0.5 | +182 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 968 | MLB | Jordan Walker 10 games | STL vs CIN@STL | HR | 0.5 | +450 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 969 | MLB | Jose Altuve 10 games | HOU vs Athletics@ | R | 1.5 | +800 | 0.6 | -0.9 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 970 | MLB | Jose Altuve 10 games | HOU vs Athletics@ | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 971 | MLB | Jose Caballero 10 games | NYY vs BOS@NYY | HR | 0.5 | +1000 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Josh Bell 10 games | MIN vs KCR@MIN | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 3.0 | WIN | LOSS | |
| 973 | MLB | Josh Jung 10 games | TEX vs CLE@TEX | H | 1.5 | +260 | 1 | -0.5 | 1/5 | -0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 974 | MLB | Josh Jung 10 games | TEX vs CLE@TEX | RBI | 1.5 | +600 | 0.6 | -0.9 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 975 | MLB | Josh Naylor 10 games | SEA vs SEA@DET | H | 1.5 | +230 | 1 | -0.5 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 976 | MLB | Josh Naylor 10 games | SEA vs SEA@DET | HR | 0.5 | +525 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 977 | MLB | Josh Naylor 10 games | SEA vs SEA@DET | RBI | 0.5 | +177 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 978 | MLB | Juan Soto 10 games | NYM vs NYM@SDP | R | 0.5 | +100 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 979 | MLB | Julio Rodriguez 10 games | SEA vs SEA@DET | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 980 | MLB | Julio Rodriguez 10 games | SEA vs SEA@DET | RBI | 1.5 | +475 | 0.6 | -0.9 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 981 | MLB | Junior Caminero 10 games | TB vs TBR@MIA | H | 1.5 | +185 | 1.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Junior Caminero 10 games | TB vs TBR@MIA | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 983 | MLB | Junior Caminero 10 games | TB vs TBR@MIA | RBI | 0.5 | +135 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 984 | MLB | Justin Crawford 10 games | PHI vs CHW@PHI | R | 0.5 | +130 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 985 | MLB | Justin Foscue 10 games | TEX vs CLE@TEX | R | 0.5 | +176 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 986 | MLB | Kazuma Okamoto 10 games | TOR vs BAL@TOR | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 987 | MLB | Kazuma Okamoto 10 games | TOR vs BAL@TOR | RBI | 1.5 | +500 | 0.6 | -0.9 | 1/5 | -0.5 | 32 | F | 1.0 | LOSS | WIN | |
| 988 | MLB | Keibert Ruiz 10 games | WSH vs WSN@ARI | H | 1.5 | +340 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 989 | MLB | Kerry Carpenter 10 games | DET vs SEA@DET | H | 1.5 | +320 | 1.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 990 | MLB | Ketel Marte 10 games | AZ vs WSN@ARI | RBI | 1.5 | +550 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 991 | MLB | Kevin McGonigle 10 games | DET vs SEA@DET | H | 1.5 | +240 | 1.2 | -0.3 | 1/5 | +0.1 | 32 | F | 2.0 | WIN | LOSS | |
| 992 | MLB | Kevin McGonigle 10 games | DET vs SEA@DET | R | 1.5 | +800 | 0.8 | -0.7 | 1/5 | -0.4 | 32 | F | 1.0 | LOSS | WIN | |
| 993 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | HR | 0.5 | +475 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 994 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | R | 1.5 | +900 | 0.8 | -0.7 | 1/5 | +0.3 | 32 | F | 2.0 | WIN | LOSS | |
| 995 | MLB | Kody Clemens 10 games | MIN vs KCR@MIN | RBI | 0.5 | +180 | 0.4 | -0.1 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 996 | MLB | Kyle Higashioka 10 games | TEX vs CLE@TEX | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 997 | MLB | Kyle Isbel 10 games | KC vs KCR@MIN | R | 0.5 | +183 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 998 | MLB | Kyle Manzardo 10 games | CLE vs CLE@TEX | RBI | 1.5 | +600 | 0.8 | -0.7 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 999 | MLB | Kyle Schwarber 10 games | PHI vs CHW@PHI | HR | 0.5 | +250 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 1000 | MLB | Kyle Schwarber 10 games | PHI vs CHW@PHI | RBI | 0.5 | +135 | 0.2 | -0.3 | 1/5 | -0.3 | 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.