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 | Tyler Soderstrom 10 games | ATH vs Athletics@ | HR | 0.5 | +425 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | — | PENDING | PENDING | |
| 952 | MLB | Tyler Soderstrom 10 games | ATH vs Athletics@ | RBI | 0.5 | +188 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 953 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TOR@SDP | H | 1.5 | +193 | 1 | -0.5 | 1/5 | +0.4 | 32 | F | 0.0 | LOSS | WIN | |
| 954 | MLB | Weston Wilson 10 games | SEA vs SEA@TBR | R | 0.5 | +195 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 955 | MLB | Weston Wilson 10 games | SEA vs SEA@TBR | RBI | 0.5 | +312 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | 1.0 | WIN | LOSS | |
| 956 | MLB | William Contreras 10 games | MIL vs MIL@PIT | RBI | 0.5 | +199 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | — | PENDING | PENDING | |
| 957 | MLB | Willy Adames 10 games | SF vs COL@SFG | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Willy Adames 10 games | SF vs COL@SFG | R | 0.5 | +110 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 959 | MLB | Willy Adames 10 games | SF vs COL@SFG | RBI | 0.5 | +170 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 1.0 | WIN | LOSS | |
| 960 | MLB | Willy Adames 10 games | SF vs COL@SFG | TB | 1.5 | +140 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 3.0 | WIN | LOSS | |
| 961 | MLB | Wilyer Abreu 10 games | BOS vs BOS@NYM | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 962 | MLB | Wilyer Abreu 10 games | BOS vs BOS@NYM | RBI | 0.5 | +156 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 963 | MLB | Xander Bogaerts 10 games | SD vs TOR@SDP | HR | 0.5 | +650 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 964 | MLB | Xander Bogaerts 10 games | SD vs TOR@SDP | R | 0.5 | +135 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 965 | MLB | Xander Bogaerts 10 games | SD vs TOR@SDP | TB | 1.5 | +155 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 966 | MLB | Xavier Edwards 10 games | MIA vs CLE@MIA | R | 0.5 | +140 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 967 | MLB | Yandy Diaz 10 games | TB vs SEA@TBR | H | 1.5 | +185 | 1.2 | -0.3 | 1/5 | +0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 968 | MLB | Zach Dezenzo 10 games | HOU vs HOU@TEX | RBI | 0.5 | +332 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 969 | MLB | Zach McKinstry 10 games | DET vs PHI@DET | HR | 0.5 | +1200 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 970 | MLB | Zack Short 10 games | NYM vs BOS@NYM | H | 0.5 | +142 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 971 | MLB | Zack Short 10 games | NYM vs BOS@NYM | R | 0.5 | +210 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 972 | MLB | Colt Emerson 10 games | SEA vs SEA@TBR | H | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.3 | 31 | F | — | PENDING | PENDING | |
| 973 | MLB | Michael Harris II 10 games | ATL vs ATL@STL | TB | 1.5 | +102 | 1.4 | -0.1 | 2/5 | -1.8 | 31 | F | 0.0 | LOSS | WIN | |
| 974 | MLB | Michael Lorenzen 10 games | COL vs COL@SFG | K | 3.5 | -140 | 3.4 | -0.1 | 3/5 | -1.8 | 31 | F | 1.0 | LOSS | WIN | |
| 975 | MLB | Nick Gonzales 10 games | PIT vs MIL@PIT | TB | 1.5 | +129 | 1.2 | -0.3 | 2/5 | -2 | 31 | F | 3.0 | WIN | LOSS | |
| 976 | MLB | Otto Lopez 10 games | MIA vs CLE@MIA | TB | 1.5 | +123 | 1.4 | -0.1 | 2/5 | -2 | 31 | F | 0.0 | LOSS | WIN | |
| 977 | MLB | Riley Greene 10 games | DET vs PHI@DET | TB | 1.5 | +130 | 0.8 | -0.7 | 2/5 | -2 | 31 | F | 1.0 | LOSS | WIN | |
| 978 | MLB | Sal Stewart 10 games | CIN vs CHC@CIN | R | 0.5 | -105 | 0.4 | -0.1 | 1/5 | -0.5 | 31 | F | 1.0 | WIN | LOSS | |
| 979 | MLB | Alec Burleson 10 games | STL vs ATL@STL | H | 0.5 | -220 | 0.6 | +0.1 | 2/5 | -0.7 | 30 | F | 1.0 | WIN | LOSS | |
| 980 | MLB | Cam Smith 10 games | HOU vs HOU@TEX | H | 0.5 | -155 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 1.0 | WIN | LOSS | |
| 981 | MLB | Edmundo Sosa 10 games | PHI vs PHI@DET | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | +0.1 | 30 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Eric Wagaman 10 games | NYM vs BOS@NYM | H | 0.5 | -140 | 0.4 | -0.1 | 2/5 | +0 | 30 | F | 0.0 | LOSS | WIN | |
| 983 | MLB | Jorbit Vivas 10 games | WSH vs NYY@WSN | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.3 | 30 | F | 0.0 | LOSS | WIN | |
| 984 | MLB | Logan O'Hoppe 10 games | LAA vs LAA@MIN | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.4 | 30 | F | 0.0 | LOSS | WIN | |
| 985 | MLB | Marcell Ozuna 10 games | PIT vs MIL@PIT | H | 0.5 | -147 | 0.4 | -0.1 | 2/5 | -0.1 | 30 | F | 2.0 | WIN | LOSS | |
| 986 | MLB | Riley Greene 10 games | DET vs PHI@DET | H | 0.5 | -177 | 0.6 | +0.1 | 2/5 | -0.8 | 30 | F | 1.0 | WIN | LOSS | |
| 987 | MLB | Trea Turner 10 games | PHI vs PHI@DET | H | 0.5 | -225 | 0.8 | +0.3 | 2/5 | -1 | 30 | F | 1.0 | WIN | LOSS | |
| 988 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | H | 1.5 | +182 | 0.8 | -0.7 | 1/5 | -0.6 | 29 | F | — | PENDING | PENDING | |
| 989 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | HR | 0.5 | +550 | 0 | -0.5 | 0/5 | +0 | 29 | F | — | PENDING | PENDING | |
| 990 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | R | 0.5 | +105 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 991 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | RBI | 0.5 | +168 | 0.4 | -0.1 | 1/5 | -0.7 | 29 | F | — | PENDING | PENDING | |
| 992 | MLB | Adley Rutschman 10 games | BAL vs KCR@BAL | TB | 1.5 | +120 | 0.8 | -0.7 | 1/5 | -0.9 | 29 | F | — | PENDING | PENDING | |
| 993 | MLB | Alan Roden 4 games | MIN vs LAA@MIN | HR | 0.5 | +900 | 0 | -0.5 | 0/4 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 994 | MLB | Alan Roden 4 games | MIN vs LAA@MIN | R | 0.5 | +155 | 0 | -0.5 | 0/4 | +0 | 29 | F | 0.0 | LOSS | WIN | |
| 995 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | HR | 0.5 | +900 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | 0.0 | LOSS | WIN | |
| 996 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | R | 0.5 | +160 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 1.0 | WIN | LOSS | |
| 997 | MLB | Alec Bohm 10 games | PHI vs PHI@DET | RBI | 0.5 | +228 | 0 | -0.5 | 0/5 | -0.4 | 29 | F | 0.0 | LOSS | WIN | |
| 998 | MLB | Alex Call 10 games | LAD vs ARI@LAD | RBI | 0.5 | +209 | 0 | -0.5 | 0/5 | -0.2 | 29 | F | — | PENDING | PENDING | |
| 999 | MLB | Alika Williams 10 games | ATH vs Athletics@ | H | 0.5 | -132 | 0.4 | -0.1 | 2/5 | -0.7 | 29 | F | 0.0 | LOSS | WIN | |
| 1000 | MLB | Andrew Benintendi 10 games | CWS vs Athletics@ | HR | 0.5 | +750 | 0 | -0.5 | 0/5 | +0 | 29 | 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.