The Baseball Gauge @ Seamheads.com

2017's Top Players


National League

Pos Player Tm
C SFG
2.8
1B ARI
4.2
2B PIT
2.4
3B LAD
3.5
SS CIN
2.9
LF MIA
2.9
CF LAD
2.3
RF WAS
2.8
DH
SP WAS
4.0
SP ARI
3.5
SP WAS
3.4
SP LAD
3.2
SP COL
2.9
RP MIL
2.3
RP ARI
2.2
RP PIT
2.0
RP PHI
1.9

American League

Pos Player Tm
C DET
2.4
1B TBR
2.4
2B HOU
3.4
3B CLE
2.6
SS HOU
3.4
LF DET
2.7
CF LAA
3.4
RF NYY
4.6
DH TBR
3.0
SP KCR
3.9
SP BOS
3.6
SP TEX
3.4
SP MIN
3.3
SP HOU
3.3
RP BOS
2.2
RP CLE
1.9
RP KCR
1.6
RP BOS
1.6

2017 Division Win Expectancies



American League

West W L W% Div
HOU 52 25 .675
92.8%
LAA 41 39 .513
3.0%
TEX 38 38 .500
2.0%
SEA 39 39 .500
1.9%
OAK 34 42 .447
0.3%
Cent W L W% Div
CLE 40 35 .533
39.9%
MIN 39 35 .527
31.8%
KCR 37 37 .500
19.4%
DET 33 42 .440
5.3%
CHW 32 43 .427
3.6%
East W L W% Div
BOS 42 34 .553
36.1%
NYY 41 33 .554
35.1%
TBR 40 38 .513
13.5%
BAL 37 38 .493
8.4%
TOR 36 39 .480
6.9%



National League

West W L W% Div
LAD 51 27 .654
48.7%
ARI 49 28 .636
35.7%
COL 47 32 .595
15.6%
SDP 31 45 .408
0.0%
SFG 28 51 .354
0.0%
Cent W L W% Div
MIL 41 37 .526
40.4%
CHC 39 37 .513
34.1%
STL 35 40 .467
11.5%
PIT 35 41 .461
10.9%
CIN 31 44 .413
3.2%
East W L W% Div
WAS 45 31 .592
82.4%
ATL 36 39 .480
8.2%
MIA 34 40 .459
5.4%
NYM 34 41 .453
3.9%
PHI 24 51 .320
0.0%

2017 Wild Card Win Expectancies



American League

Team W L W% WC
LAA 41 39 .513
29.1%
NYY 41 33 .554
22.2%
BOS 42 34 .553
21.9%
SEA 39 39 .500
21.1%
TEX 38 38 .500
21.1%
TBR 40 38 .513
16.3%
BAL 37 38 .493
12.8%
CLE 40 35 .533
11.0%
MIN 39 35 .527
11.0%
TOR 36 39 .480
9.6%
KCR 37 37 .500
8.3%
HOU 52 25 .675
5.6%
OAK 34 42 .447
5.5%
DET 33 42 .440
2.5%
CHW 32 43 .427
2.0%

National League

Team W L W% WC
COL 47 32 .595
68.1%
ARI 49 28 .636
58.2%
LAD 51 27 .654
47.7%
ATL 36 39 .480
5.1%
CHC 39 37 .513
3.8%
MIL 41 37 .526
3.7%
MIA 34 40 .459
2.9%
WAS 45 31 .592
2.8%
NYM 34 41 .453
2.6%
STL 35 40 .467
1.9%
PIT 35 41 .461
1.7%
SDP 31 45 .408
1.0%
CIN 31 44 .413
0.5%
SFG 28 51 .354
0.1%
PHI 24 51 .320
0.0%


The Baseball Gauge Blog






Today's Birthdays

All-Time (Top 5)

Player Pos Born Age WAR
Mark Grace
1B
1964
53
46.1
Ken Williams
LF
1890
(1959)
42.6
Brandon Phillips
2B
1981
36
31.6
Chris Speier
SS
1950
67
30.6
Don Baylor
DH
1949
68
28.3

Active (Top 3)

Player Pos Born Age WAR
Brandon Phillips
2B
1981
36
31.6
Michael Feliz
RP
1993
24
0.1
Kevan Smith
C
1988
29
-0.7


Today's Games
Championship Leverage Index
Away CLI @ Home CLI


2017 Power Rankings

Methodology

# Tm Lg 2017 L-25 L-10 Rating
1
LAD
NL
.577
.605
.683
.604
2
HOU
AL
.581
.569
.581
.577
3
ARI
NL
.558
.582
.600
.573
4
LAA
AL
.510
.555
.580
.537
5
CLE
AL
.528
.532
.562
.535
6
SEA
AL
.507
.559
.552
.532
7
TEX
AL
.510
.546
.534
.526
8
WAS
NL
.528
.516
.522
.523
9
KCR
AL
.491
.552
.551
.521
10
CHC
NL
.504
.528
.558
.521
11
BOS
AL
.518
.510
.520
.516
12
COL
NL
.536
.511
.437
.511
13
MIA
NL
.484
.550
.488
.507
14
NYY
AL
.539
.506
.402
.505
15
OAK
AL
.481
.502
.578
.504
16
TBR
AL
.511
.482
.479
.496
17
PIT
NL
.484
.505
.502
.494
18
MIL
NL
.505
.483
.459
.490
19
MIN
AL
.495
.486
.484
.490
20
ATL
NL
.467
.498
.534
.488
21
TOR
AL
.488
.490
.440
.481
22
BAL
AL
.490
.457
.482
.478
23
SDP
NL
.454
.498
.498
.476
24
NYM
NL
.472
.470
.471
.471
25
STL
NL
.487
.443
.472
.470
26
DET
AL
.482
.474
.374
.461
27
CHW
AL
.476
.418
.427
.449
28
CIN
NL
.457
.423
.403
.437
29
PHI
NL
.429
.400
.421
.418
30
SFG
NL
.440
.398
.371
.414

Any questions, comments, suggestions?? Please contact the webmaster at BaseballGauge@gmail.com

The statistics used were obtained free of charge from The Baseball Databank

Wins Above Replacement data courtesy of Baseball-Reference.com

Defensive Regression Analysis data used here was obtained with permission from Michael Humphreys, author of Wizardry

The transaction and player splits data used here was obtained free of charge from and is copyrighted by Retrosheet.
Interested parties may contact Retrosheet at "www.retrosheet.org".

Uniform images used with permission from Marc Okkonen, author of Baseball Uniforms of the 20th Century.
Images can also be viewed at the Hall of Fame online exhibit Dressed to the Nines

Win Shares are calculated using the formula in the book Win Shares by Bill James