2026
15-Day HR Leaders
1 Pete Crow-Armstrong 6 HRs · 2 Byron Buxton 5 HRs · 3 Max Muncy 5 HRs · 4 Shohei Ohtani 5 HRs · 5 Wyatt Langford 5 HRs · 6 Paul Goldschmidt 5 HRs · 7 Bo Bichette 5 HRs · 8 Dansby Swanson 4 HRs · 9 Ben Rice 4 HRs · 10 Kazuma Okamoto 4 HRs · 11 Zach Neto 4 HRs · 12 Jac Caglianone 4 HRs 1 Pete Crow-Armstrong 6 HRs · 2 Byron Buxton 5 HRs · 3 Max Muncy 5 HRs · 4 Shohei Ohtani 5 HRs · 5 Wyatt Langford 5 HRs · 6 Paul Goldschmidt 5 HRs · 7 Bo Bichette 5 HRs · 8 Dansby Swanson 4 HRs · 9 Ben Rice 4 HRs · 10 Kazuma Okamoto 4 HRs · 11 Zach Neto 4 HRs · 12 Jac Caglianone 4 HRs
FIP-xFIP Gap Report
Pitchers whose FIP is running above xFIP, a matter-of-fact view of HR over-allowance as of the selected slate date.
Top 50 pitchers · 7-day movement vs prior report
Historical Snapshot
Validated pre-game snapshot. This view was captured before first pitch.
refresh_11 - 2026-06-25T11:00:43-04:00
FIP-xFIP Gap Leaderboard · 2026-06-25
Higher gap = more HR-prone than expected · trend compares to 7 days earlier
# Pitcher 7d Rank FIP xFIP Gap Gap +/- Scored Pool HRs Scored Pool HR Rate Pool Apps
1 EVEN 7.37 1.22 +6.15 +0.00 2 22.2% 9
2 EVEN 8.34 5.57 +2.76 +0.00 3 11.1% 27
3 EVEN 4.79 2.13 +2.66 +0.00 1 11.1% 9
4 EVEN 7.64 5.36 +2.28 +0.00 18 16.2% 111
5 +1 6.50 4.37 +2.12 +0.00 4 22.2% 18
6 +1 7.90 5.82 +2.09 +0.00 10 22.7% 44
7 -2 7.31 5.23 +2.08 -0.17 6 10.7% 56
8 EVEN 5.61 3.73 +1.88 -0.18 5 15.2% 33
9 +1 6.60 4.79 +1.81 +0.00 4 6.6% 61
10 +1 6.57 4.79 +1.78 +0.00 12 16.9% 71
11 +1 5.94 4.16 +1.77 +0.00 2 11.1% 18
12 +1 6.47 4.76 +1.71 +0.00 6 11.1% 54
13 +1 8.65 6.96 +1.69 +0.00 1 12.5% 8
14 +1 6.20 4.67 +1.54 +0.00 11 15.5% 71
15 +1 6.15 4.62 +1.53 +0.00 16 13.9% 115
16 +1 5.44 3.98 +1.46 -0.07 8 9.0% 89
17 +1 5.86 4.40 +1.45 -0.04 8 16.3% 49
18 +11 5.72 4.33 +1.39 +0.33 9 11.4% 79
19 EVEN 5.64 4.28 +1.36 -0.08 9 9.9% 91
20 +1 6.88 5.55 +1.33 -0.01 10 10.8% 93
21 -1 5.99 4.67 +1.32 -0.02 18 13.6% 132
22 +2 5.73 4.42 +1.31 +0.04 21 17.9% 117
23 -1 4.79 3.49 +1.30 -0.02 13 10.0% 130
24 -1 6.05 4.79 +1.26 -0.05 9 9.4% 96
25 NEW 7.08 5.85 +1.23 · 2 7.7% 26
26 EVEN 4.77 3.57 +1.20 +0.00 0 0.0% 18
27 -2 6.28 5.13 +1.15 -0.07 7 18.9% 37
28 -1 5.04 3.92 +1.12 +0.00 8 11.4% 70
29 -1 6.55 5.45 +1.10 +0.02 14 15.9% 88
30 EVEN 4.81 3.75 +1.06 +0.00 3 5.7% 53
31 EVEN 5.82 4.81 +1.01 +0.00 0 0.0% 9
32 EVEN 6.49 5.52 +0.98 +0.00 6 13.3% 45
33 EVEN 5.27 4.33 +0.93 -0.01 12 10.1% 119
34 +1 5.36 4.51 +0.85 +0.00 15 12.4% 121
35 -1 5.77 4.93 +0.84 -0.02 5 8.6% 58
36 EVEN 7.52 6.68 +0.84 +0.00 3 16.7% 18
37 +2 3.76 2.93 +0.83 +0.04 14 10.8% 130
38 EVEN 5.12 4.31 +0.81 +0.01 21 16.5% 127
39 -2 4.26 3.46 +0.80 -0.03 20 19.0% 105
40 +1 4.41 3.62 +0.78 +0.02 17 13.3% 128
41 +1 5.08 4.31 +0.77 +0.01 13 9.8% 133
42 +2 4.04 3.27 +0.77 +0.02 13 8.8% 147
43 EVEN 5.14 4.42 +0.73 -0.02 16 11.6% 138
44 -4 5.21 4.48 +0.73 -0.04 10 11.2% 89
45 EVEN 5.27 4.60 +0.67 -0.01 15 11.5% 130
46 EVEN 3.62 2.99 +0.64 -0.02 19 12.8% 148
47 EVEN 4.32 3.69 +0.63 +0.00 2 11.1% 18
48 EVEN 4.71 4.09 +0.62 +0.00 10 11.2% 89
49 +1 4.66 4.05 +0.61 +0.01 18 12.2% 148
50 -1 4.78 4.17 +0.61 +0.00 1 11.1% 9
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How to use this: FIP (Fielding Independent Pitching) measures what a pitcher's ERA should be based on strikeouts, walks, and home runs. xFIP goes further by normalizing HR/FB rate to league average. When FIP is much higher than xFIP (positive gap), the pitcher is giving up more home runs than expected. Use the dated view to inspect what was knowable at that point, without leaking future results into older reports.
LD 3.3.16 · build 516

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