The Baseball Gauge @ Seamheads.com

2017's Top Players


National League

Pos Player Tm
C SFG
3.4
1B ARI
4.7
2B PIT
2.7
3B WAS
4.7
SS CIN
3.6
LF MIA
4.1
CF COL
2.9
RF WAS
4.4
DH
SP WAS
5.3
SP LAD
4.6
SP WAS
4.5
SP ARI
4.1
SP COL
4.0
RP PIT
2.5
RP ARI
2.4
RP MIL
2.2
RP COL
2.2

American League

Pos Player Tm
C KCR
2.2
1B TOR
3.2
2B HOU
6.0
3B CLE
3.4
SS LAA
5.0
LF DET
3.8
CF HOU
4.5
RF NYY
5.4
DH TBR
2.9
SP BOS
5.3
SP TOR
4.6
SP CLE
4.3
SP NYY
4.0
SP KCR
3.6
RP CLE
2.7
RP BOS
2.4
RP TOR
2.1
RP BAL
2.0

2017 Division Win Expectancies



American League

West W L W% Div
HOU 67 34 .663
99.7%
SEA 51 52 .495
0.1%
TEX 49 52 .485
0.1%
LAA 49 53 .480
0.1%
OAK 44 57 .436
0.0%
Cent W L W% Div
CLE 54 45 .545
54.8%
KCR 53 47 .530
35.3%
MIN 49 51 .490
8.2%
DET 45 55 .450
1.6%
CHW 39 59 .398
0.1%
East W L W% Div
BOS 56 47 .544
44.3%
NYY 53 46 .535
33.8%
TBR 53 49 .520
17.5%
BAL 48 53 .475
2.6%
TOR 47 54 .465
1.9%



National League

West W L W% Div
LAD 71 31 .696
97.2%
ARI 58 43 .574
1.7%
COL 58 45 .563
1.1%
SDP 44 57 .436
0.0%
SFG 40 63 .388
0.0%
Cent W L W% Div
CHC 53 47 .530
42.1%
MIL 54 49 .524
35.3%
STL 50 51 .495
11.9%
PIT 50 52 .490
10.7%
CIN 41 60 .406
0.1%
East W L W% Div
WAS 60 39 .606
96.8%
ATL 48 52 .480
1.4%
MIA 46 53 .465
0.9%
NYM 47 52 .475
0.9%
PHI 35 64 .354
0.0%

2017 Wild Card Win Expectancies



American League

Team W L W% WC
NYY 53 46 .535
30.0%
BOS 56 47 .544
29.1%
TBR 53 49 .520
27.2%
KCR 53 47 .530
21.2%
SEA 51 52 .495
19.2%
CLE 54 45 .545
16.9%
TEX 49 52 .485
16.0%
LAA 49 53 .480
12.4%
MIN 49 51 .490
10.3%
BAL 48 53 .475
8.1%
TOR 47 54 .465
5.6%
DET 45 55 .450
2.3%
OAK 44 57 .436
1.3%
HOU 67 34 .663
0.3%
CHW 39 59 .398
0.2%

National League

Team W L W% WC
ARI 58 43 .574
81.8%
COL 58 45 .563
78.6%
MIL 54 49 .524
7.8%
CHC 53 47 .530
7.3%
ATL 48 52 .480
5.6%
STL 50 51 .495
4.3%
PIT 50 52 .490
3.8%
NYM 47 52 .475
3.7%
MIA 46 53 .465
2.8%
LAD 71 31 .696
2.8%
WAS 60 39 .606
1.0%
SDP 44 57 .436
0.5%
CIN 41 60 .406
0.0%
SFG 40 63 .388
0.0%
PHI 35 64 .354
0.0%


The Baseball Gauge Blog






Today's Birthdays

All-Time (Top 5)

Player Pos Born Age WAR
Vida Blue
SP
1949
68
45.5
Freddie Fitzsimmons
SP
1901
(1979)
35.7
Duke Esper
SP
1867
(1910)
17.9
Carmelo Martinez
LF
1960
57
11.0
Bob Wood
C
1865
(1943)
7.1

Active (Top 3)

Player Pos Born Age WAR
Jae-Gyun Hwang
3B
1987
30
-0.1
Caleb Smith
-
1991
26
-0.2


Today's Games
Championship Leverage Index
Away CLI @ Home CLI
1.87
@
1.97
0.58
@
1.59
1.65
@
0.26
0.74
@
1.02
1.64
@
0.03
0.09
@
0.42
0.28
@
0.03
0.02
@
0.22


2017 Power Rankings

Methodology

# Tm Lg 2017 L-25 L-10 Rating
1
LAD
NL
.591
.616
.585
.599
2
HOU
AL
.573
.561
.516
.560
3
WAS
NL
.538
.536
.574
.544
4
STL
NL
.510
.574
.578
.543
5
CLE
AL
.527
.545
.577
.541
6
KCR
AL
.506
.566
.599
.541
7
CHC
NL
.513
.526
.619
.535
8
ARI
NL
.545
.488
.535
.524
9
NYY
AL
.530
.508
.530
.523
10
BOS
AL
.519
.528
.456
.512
11
COL
NL
.526
.466
.544
.509
12
PIT
NL
.492
.521
.518
.506
13
SEA
AL
.499
.493
.531
.503
14
BAL
AL
.485
.473
.594
.499
15
NYM
NL
.481
.506
.503
.493
16
ATL
NL
.482
.513
.472
.491
17
PHI
NL
.449
.504
.584
.490
18
LAA
AL
.495
.480
.490
.489
19
MIL
NL
.509
.511
.370
.486
20
TBR
AL
.503
.483
.433
.485
21
MIA
NL
.486
.478
.476
.482
22
MIN
AL
.486
.473
.466
.478
23
DET
AL
.478
.482
.448
.474
24
TEX
AL
.497
.460
.407
.470
25
SFG
NL
.449
.489
.480
.467
26
TOR
AL
.474
.449
.470
.465
27
OAK
AL
.472
.465
.436
.464
28
SDP
NL
.458
.481
.432
.461
29
CIN
NL
.464
.451
.375
.445
30
CHW
AL
.458
.405
.358
.424

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