The Baseball Gauge @ Seamheads.com

2017's Top Players


National League

Pos Player Tm
C SFG
3.4
1B ARI
4.2
2B PIT
2.4
3B WAS
4.9
SS LAD
3.4
LF MIA
3.8
CF COL
2.9
RF WAS
4.5
DH
SP WAS
5.3
SP LAD
4.6
SP WAS
4.2
SP ARI
3.9
SP NYM
3.7
RP PIT
2.5
RP ARI
2.3
RP COL
2.2
RP MIL
2.1

American League

Pos Player Tm
C DET
2.4
1B TBR
3.1
2B HOU
5.2
3B CLE
3.4
SS HOU
4.8
LF DET
3.7
CF HOU
4.2
RF NYY
5.3
DH TBR
3.1
SP BOS
4.7
SP TOR
4.1
SP CLE
3.9
SP NYY
3.6
SP TEX
3.6
RP CLE
2.5
RP BOS
2.3
RP TOR
2.0
RP BAL
1.9

2017 Division Win Expectancies



American League

West W L W% Div
HOU 64 32 .667
99.4%
SEA 48 50 .490
0.2%
TEX 46 50 .479
0.2%
LAA 47 51 .480
0.2%
OAK 43 53 .448
0.0%
Cent W L W% Div
CLE 49 45 .521
42.5%
KCR 48 47 .505
25.4%
MIN 48 47 .505
24.3%
DET 44 51 .463
7.0%
CHW 38 55 .409
0.8%
East W L W% Div
BOS 55 43 .561
55.0%
NYY 50 45 .526
21.5%
TBR 51 46 .526
19.2%
BAL 46 50 .479
3.0%
TOR 44 52 .458
1.3%



National League

West W L W% Div
LAD 66 31 .680
90.5%
ARI 56 40 .583
5.8%
COL 56 42 .571
3.7%
SDP 41 54 .432
0.0%
SFG 37 60 .381
0.0%
Cent W L W% Div
MIL 52 47 .525
36.9%
CHC 49 46 .516
30.7%
PIT 49 48 .505
19.9%
STL 47 49 .490
12.1%
CIN 40 56 .417
0.5%
East W L W% Div
WAS 57 38 .600
93.5%
ATL 47 48 .495
4.1%
NYM 44 50 .468
1.3%
MIA 43 51 .457
1.2%
PHI 33 61 .351
0.0%

2017 Wild Card Win Expectancies



American League

Team W L W% WC
TBR 51 46 .526
33.5%
NYY 50 45 .526
33.4%
BOS 55 43 .561
27.9%
SEA 48 50 .490
19.1%
TEX 46 50 .479
14.9%
LAA 47 51 .480
13.7%
BAL 46 50 .479
11.5%
CLE 49 45 .521
11.2%
MIN 48 47 .505
10.7%
KCR 48 47 .505
10.4%
TOR 44 52 .458
5.6%
DET 44 51 .463
3.9%
OAK 43 53 .448
3.4%
HOU 64 32 .667
0.5%
CHW 38 55 .409
0.4%

National League

Team W L W% WC
ARI 56 40 .583
80.1%
COL 56 42 .571
76.8%
LAD 66 31 .680
9.4%
ATL 47 48 .495
8.4%
MIL 52 47 .525
5.5%
CHC 49 46 .516
5.4%
PIT 49 48 .505
4.4%
STL 47 49 .490
3.0%
NYM 44 50 .468
2.7%
WAS 57 38 .600
1.8%
MIA 43 51 .457
1.8%
SDP 41 54 .432
0.5%
CIN 40 56 .417
0.1%
SFG 37 60 .381
0.0%
PHI 33 61 .351
0.0%


The Baseball Gauge Blog






Today's Birthdays

All-Time (Top 5)

Player Pos Born Age WAR
Jack Glasscock
SS
1857
(1947)
61.5
Dave Stieb
SP
1957
60
57.2
Jesse Haines
SP
1893
(1978)
32.7
Scott Sanderson
SP
1956
61
28.1
Mike Sweeney
1B
1973
44
24.7

Active (Top 3)

Player Pos Born Age WAR
Jake Barrett
RP
1991
26
1.2


Today's Games
Championship Leverage Index
Away CLI @ Home CLI
1.18
@
1.75
0.85
@
1.59
1.54
@
0.75
0.67
@
1.57
1.32
@
0.85
0.40
@
1.68
1.41
@
0.59
0.14
@
1.50
1.62
@
0.00
0.44
@
0.71
0.62
@
0.32
0.03
@
0.64
0.18
@
0.23
0.19
@
0.06
0.04
@
0.00


2017 Power Rankings

Methodology

# Tm Lg 2017 L-25 L-10 Rating
1
LAD
NL
.586
.632
.598
.603
2
HOU
AL
.576
.575
.562
.573
3
PIT
NL
.501
.552
.685
.548
4
WAS
NL
.536
.547
.552
.542
5
STL
NL
.506
.553
.569
.532
6
BOS
AL
.527
.547
.509
.531
7
ATL
NL
.485
.543
.615
.526
8
ARI
NL
.546
.517
.460
.522
9
CHC
NL
.508
.501
.567
.515
10
NYY
AL
.529
.489
.517
.513
11
SEA
AL
.497
.502
.542
.506
12
TBR
AL
.506
.503
.511
.506
13
CLE
AL
.518
.494
.464
.501
14
KCR
AL
.495
.526
.471
.501
15
BAL
AL
.485
.477
.566
.496
16
COL
NL
.527
.434
.524
.496
17
OAK
AL
.478
.507
.521
.495
18
MIL
NL
.509
.517
.396
.493
19
NYM
NL
.481
.497
.509
.491
20
DET
AL
.483
.474
.533
.489
21
MIN
AL
.488
.495
.477
.488
22
LAA
AL
.495
.487
.454
.486
23
PHI
NL
.445
.503
.528
.478
24
MIA
NL
.482
.471
.469
.476
25
TEX
AL
.497
.477
.404
.475
26
SDP
NL
.456
.478
.436
.460
27
CIN
NL
.467
.461
.419
.457
28
TOR
AL
.473
.430
.441
.453
29
SFG
NL
.447
.458
.384
.440
30
CHW
AL
.463
.406
.346
.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