Top Ten Pitchers
| Rank | WAA | IP | ERA | G | W | L | Name_Tm | Pos |
|---|---|---|---|---|---|---|---|---|
| 1 | 1.8 | 30.0 | 1.50 | 4 | 1 | 2 | Johnny_Cueto_CIN | PITCH |
| 2 | 1.8 | 26.0 | 2.08 | 4 | 2 | 1 | Justin_Verlander_DET | PITCH |
| 3 | 1.7 | 28.3 | 1.27 | 4 | 2 | 1 | Andrew_Cashner_SDN | PITCH |
| 4 | 1.7 | 21.3 | 0.84 | 3 | 1 | 1 | Chris_Tillman_BAL | PITCH |
| 5 | 1.5 | 22.0 | 0.82 | 3 | 1 | 0 | Yu_Darvish_TEX | PITCH |
| 6 | 1.5 | 27.0 | 1.67 | 4 | 2 | 2 | Alex_Wood_ATL | PITCH |
| 7 | 1.5 | 27.0 | 2.00 | 4 | 1 | 2 | James_Shields_KCA | PITCH |
| 8 | 1.5 | 21.0 | 0.86 | 3 | 3 | 0 | Mark_Buehrle_TOR | PITCH |
| 9 | 1.4 | 21.0 | 1.29 | 3 | 0 | 1 | Jeff_Samardzija_CHN | PITCH |
| 10 | 1.4 | 30.0 | 1.80 | 4 | 3 | 1 | Adam_Wainwright_SLN | PITCH |
Top Ten Batters
Note how Mark Trumbo, hitting below the Mendoza line of 0.200, is ranked as the #2 batter in the league. This anomaly can occur because the current season data set has so little data. It is not a mistake however and entirely consistent. Look at his RBI and Runs numbers highlighed in tan. They top the league. Run production is (R + RBI)/2. It takes a batter to hit in a run and a batter to score a run. That is the same player if he hits a home run. Trumbo’s run production tops the league and that influences his WAA valuation. It’s not the team with the most hits that wins a ballgame, or the least errors or the most pitched strikeouts. The team with the most runs wins ballgames.
Hits and walks should lead to runs but not always. I suspect Trubbo has a very high value when it comes to generating runs in RISP situations but I don’t have that data for current season. I’ll get more into RISP and how that affects player value when I explain this model’s evaluation of Ichiro Suzuki, now playing for the New York Yankees.
| Rank | WAA | BA | OBP | PA | RBI | R | Name_Tm | Pos |
|---|---|---|---|---|---|---|---|---|
| 1 | 2.0 | 0.299 | 0.347 | 72 | 21 | 12 | Giancarlo_Stanton_MIA | RF |
| 2 | 1.6 | 0.197 | 0.250 | 76 | 18 | 10 | Mark_Trumbo_ARI | LF |
| 3 | 1.5 | 0.381 | 0.426 | 68 | 14 | 13 | Alexei_Ramirez_CHA | SS |
| 4 | 1.5 | 0.357 | 0.410 | 61 | 19 | 7 | Chris_Colabello_MIN | X |
| 5 | 1.3 | 0.286 | 0.343 | 70 | 15 | 11 | Adrian_Gonzalez_LAN | 1B |
| 6 | 1.2 | 0.283 | 0.348 | 66 | 13 | 11 | Carlos_Gonzalez_COL | LF |
| 7 | 1.2 | 0.269 | 0.457 | 70 | 11 | 14 | Jose_Bautista_TOR | RF |
| 8 | 1.1 | 0.288 | 0.385 | 78 | 10 | 15 | Adam_Eaton_CHA | CF |
| 9 | 1.1 | 0.207 | 0.356 | 73 | 7 | 18 | Brian_Dozier_MIN | 2B |
| 10 | 1.1 | 0.186 | 0.314 | 70 | 13 | 11 | Pedro_Alvarez_PIT | 3B |
Update: The following lists value for Arizona as a team. Their batting is relatively neutral (WAA~0) (RAA~0*) but their pitching is very bad, worst out of all 30 MLB teams so far. Even though Mark Trumbo’s heavy contribution helps Arizona tread water with respect to offense, their 4-14 record stems entirely from bad pitching.
| BAT | PITCH | R | RA | W | L | UR | LR | Team Name |
|---|---|---|---|---|---|---|---|---|
| 1.7 | -48.4 | 67 | 115 | 4 | 14 | -2.5 | 1.1 | ARI |
* The BATting and PITCHing numbers in team tables represent Runs Above Average which is the number of runs above or below league runs per team average. The following formula are used.
RA=RAA(PITCH) + UR
R=RAA(BAT) + LR
Where RA is the published Runs Against number, R is the published runs scored number for a team, UR is unearned runs above average and LR lucky runs above average.
RAA(PITCH) = R(TEAM_AVG) – RA
RAA(BAT) = R – R(TEAM_AVG)
These numbers will be associated with the BAT and PITCH columns whenever team records are posted here.