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 | Taylor Walls 10 games | TB vs TBR@TOR | R | 0.5 | +185 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 952 | MLB | Taylor Walls 10 games | TB vs TBR@TOR | RBI | 0.5 | +389 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 953 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | HR | 0.5 | +600 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | — | PENDING | PENDING | |
| 954 | MLB | Taylor Ward 10 games | BAL vs BAL@BOS | RBI | 0.5 | +247 | 0.4 | -0.1 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 955 | MLB | TJ Friedl 10 games | CIN vs CIN@SEA | TB | 1.5 | +230 | 0.6 | -0.9 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 956 | MLB | TJ Rumfield 10 games | COL vs WSN@COL | H | 1.5 | +161 | 1 | -0.5 | 1/5 | +0.3 | 32 | F | 1.0 | LOSS | WIN | |
| 957 | MLB | TJ Rumfield 10 games | COL vs WSN@COL | HR | 0.5 | +550 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 958 | MLB | Tommy Edman 10 games | LAD vs LAD@PHI | HR | 0.5 | +900 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 959 | MLB | Tommy White 3 games | ATH vs Athletics@ | R | 0.5 | +150 | 0.3 | -0.2 | 1/3 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 960 | MLB | Trent Grisham 10 games | NYY vs PIT@NYY | HR | 0.5 | +350 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 961 | MLB | Trent Grisham 10 games | NYY vs PIT@NYY | RBI | 0.5 | +170 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 962 | MLB | Tristan Peters 10 games | CWS vs CHW@TEX | R | 0.5 | +195 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 0.0 | LOSS | WIN | |
| 963 | MLB | Troy Johnston 10 games | COL vs WSN@COL | RBI | 0.5 | +166 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 1.0 | WIN | LOSS | |
| 964 | MLB | Troy Johnston 10 games | COL vs WSN@COL | TB | 1.5 | +117 | 0.6 | -0.9 | 1/5 | -0.1 | 32 | F | 1.0 | LOSS | WIN | |
| 965 | MLB | Tsung-Che Cheng 10 games | BOS vs BAL@BOS | RBI | 0.5 | +283 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 966 | MLB | Tyler Callihan 9 games | PIT vs PIT@NYY | H | 0.5 | -130 | 0.4 | -0.1 | 2/5 | -0.3 | 32 | F | — | PENDING | PENDING | |
| 967 | MLB | Tyler Callihan 9 games | PIT vs PIT@NYY | R | 0.5 | +155 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | — | PENDING | PENDING | |
| 968 | MLB | Tyler Mahle 5 games | SF vs SFG@KCR | K | 4.5 | +131 | 3.8 | -0.7 | 1/5 | +0.2 | 32 | F | 4.0 | LOSS | WIN | |
| 969 | MLB | Tyler O'Neill 10 games | BAL vs BAL@BOS | TB | 1.5 | +150 | 1 | -0.5 | 1/5 | -0.4 | 32 | F | — | PENDING | PENDING | |
| 970 | MLB | Tyler Stephenson 10 games | CIN vs CIN@SEA | HR | 0.5 | +550 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 971 | MLB | Tyler Stephenson 10 games | CIN vs CIN@SEA | R | 0.5 | +165 | 0.4 | -0.1 | 1/5 | +0.5 | 32 | F | — | PENDING | PENDING | |
| 972 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | -0.1 | 32 | F | 1.0 | WIN | LOSS | |
| 973 | MLB | Vaughn Grissom 10 games | LAA vs STL@LAA | RBI | 0.5 | +208 | 0.2 | -0.3 | 1/5 | -0.4 | 32 | F | 1.0 | WIN | LOSS | |
| 974 | MLB | Victor Caratini 10 games | MIN vs MIN@CLE | R | 0.5 | +175 | 0.4 | -0.1 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 975 | MLB | Victor Robles 10 games | SEA vs CIN@SEA | R | 0.5 | +210 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 976 | MLB | Victor Robles 10 games | SEA vs CIN@SEA | RBI | 0.5 | +323 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 977 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | R | 0.5 | +130 | 0.2 | -0.3 | 1/5 | -0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 978 | MLB | Vladimir Guerrero Jr. 10 games | TOR vs TBR@TOR | TB | 1.5 | +130 | 0.8 | -0.7 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 979 | MLB | Willi Castro 10 games | COL vs WSN@COL | H | 1.5 | +180 | 1 | -0.5 | 1/5 | +0.2 | 32 | F | 1.0 | LOSS | WIN | |
| 980 | MLB | William Contreras 10 games | MIL vs NYM@MIL | HR | 0.5 | +320 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 981 | MLB | William Contreras 10 games | MIL vs NYM@MIL | R | 0.5 | +105 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 982 | MLB | Wyatt Langford 10 games | TEX vs CHW@TEX | HR | 0.5 | +475 | 0.2 | -0.3 | 1/5 | +0 | 32 | F | 1.0 | WIN | LOSS | |
| 983 | MLB | Xander Bogaerts 10 games | SD vs SDP@ATL | RBI | 0.5 | +209 | 0.2 | -0.3 | 1/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 984 | MLB | Xander Bogaerts 10 games | SD vs SDP@ATL | TB | 1.5 | +155 | 0.8 | -0.7 | 1/5 | -0.2 | 32 | F | 2.0 | WIN | LOSS | |
| 985 | MLB | Xavier Edwards 10 games | MIA vs MIA@HOU | R | 0.5 | +120 | 0.2 | -0.3 | 1/5 | +0.1 | 32 | F | 0.0 | LOSS | WIN | |
| 986 | MLB | Xavier Edwards 10 games | MIA vs MIA@HOU | RBI | 0.5 | +220 | 0.2 | -0.3 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 987 | MLB | Yordan Alvarez 10 games | HOU vs MIA@HOU | HR | 0.5 | +230 | 0.4 | -0.1 | 1/5 | +0.3 | 32 | F | 0.0 | LOSS | WIN | |
| 988 | MLB | Zach McKinstry 10 games | DET vs DET@CHC | TB | 1.5 | +220 | 0.6 | -0.9 | 1/5 | -0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 989 | MLB | Zach Neto 10 games | LAA vs STL@LAA | R | 0.5 | -125 | 0.4 | -0.1 | 2/5 | -0.5 | 32 | F | 0.0 | LOSS | WIN | |
| 990 | MLB | Zach Neto 10 games | LAA vs STL@LAA | RBI | 0.5 | +180 | 0.2 | -0.3 | 1/5 | +0.2 | 32 | F | 0.0 | LOSS | WIN | |
| 991 | MLB | Cole Carrigg 10 games | COL vs WSN@COL | TB | 1.5 | -109 | 1 | -0.5 | 1/5 | +0.4 | 31 | F | 3.0 | WIN | LOSS | |
| 992 | MLB | Corbin Carroll 10 games | AZ vs Athletics@ | R | 0.5 | -110 | 0.2 | -0.3 | 1/5 | -0.1 | 31 | F | 1.0 | WIN | LOSS | |
| 993 | MLB | Hunter Goodman 10 games | COL vs WSN@COL | R | 0.5 | -155 | 0.6 | +0.1 | 1/5 | +0.6 | 31 | F | 2.0 | WIN | LOSS | |
| 994 | MLB | Ryan O'Hearn 10 games | PIT vs PIT@NYY | TB | 1.5 | +146 | 1 | -0.5 | 2/5 | -1.5 | 31 | F | — | PENDING | PENDING | |
| 995 | MLB | Sam Huff 7 games | BAL vs BAL@BOS | H | 0.5 | -102 | 0.2 | -0.3 | 1/5 | -0.3 | 31 | F | — | PENDING | PENDING | |
| 996 | MLB | Shohei Ohtani 10 games | LAD vs LAD@PHI | TB | 1.5 | +109 | 1.6 | +0.1 | 1/5 | -2 | 31 | F | 1.0 | LOSS | WIN | |
| 997 | MLB | Brandon Lowe 10 games | PIT vs PIT@NYY | H | 0.5 | -200 | 0.6 | +0.1 | 2/5 | -0.7 | 30 | F | — | PENDING | PENDING | |
| 998 | MLB | Cedric Mullins 10 games | TB vs TBR@TOR | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | +0.4 | 30 | F | 2.0 | WIN | LOSS | |
| 999 | MLB | Ian Happ 10 games | CHC vs DET@CHC | H | 0.5 | -150 | 0.4 | -0.1 | 2/5 | -0.4 | 30 | F | 1.0 | WIN | LOSS | |
| 1000 | MLB | Jacob Gonzalez 10 games | PIT vs PIT@NYY | H | 0.5 | -137 | 0.4 | -0.1 | 2/5 | +0.3 | 30 | F | — | PENDING | PENDING |
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.