2026
15-Day HR Leaders
1 Wyatt Langford 6 HRs · 2 Pete Crow-Armstrong 6 HRs · 3 Kazuma Okamoto 5 HRs · 4 Junior Caminero 5 HRs · 5 Mookie Betts 5 HRs · 6 Paul Goldschmidt 5 HRs · 7 Max Muncy 5 HRs · 8 Curtis Mead 4 HRs · 9 TJ Rumfield 4 HRs · 10 Shohei Ohtani 4 HRs · 11 Zach Neto 4 HRs · 12 Jac Caglianone 4 HRs 1 Wyatt Langford 6 HRs · 2 Pete Crow-Armstrong 6 HRs · 3 Kazuma Okamoto 5 HRs · 4 Junior Caminero 5 HRs · 5 Mookie Betts 5 HRs · 6 Paul Goldschmidt 5 HRs · 7 Max Muncy 5 HRs · 8 Curtis Mead 4 HRs · 9 TJ Rumfield 4 HRs · 10 Shohei Ohtani 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 - 2026-06-27T11:00:21-04:00
FIP-xFIP Gap Leaderboard · 2026-06-27
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 NEW 6.76 3.66 +3.10 · 4 57.1% 7
3 -1 8.34 5.57 +2.76 +0.00 3 11.1% 27
4 -1 4.79 2.13 +2.66 +0.00 1 11.1% 9
5 -1 7.64 5.36 +2.28 +0.00 18 16.2% 111
6 EVEN 6.50 4.37 +2.12 +0.00 4 22.2% 18
7 EVEN 7.90 5.82 +2.09 +0.00 10 22.7% 44
8 -3 7.31 5.23 +2.08 -0.17 6 10.7% 56
9 -1 5.61 3.73 +1.88 -0.18 5 15.2% 33
10 EVEN 6.60 4.79 +1.81 +0.00 4 6.6% 61
11 EVEN 6.57 4.79 +1.78 +0.00 12 16.9% 71
12 EVEN 5.94 4.16 +1.77 +0.00 2 11.1% 18
13 EVEN 6.47 4.76 +1.71 +0.00 6 11.1% 54
14 EVEN 8.65 6.96 +1.69 +0.00 1 12.5% 8
15 EVEN 6.20 4.67 +1.54 +0.00 11 15.5% 71
16 EVEN 6.15 4.62 +1.53 +0.00 16 13.9% 115
17 EVEN 5.44 3.98 +1.46 -0.07 8 9.0% 89
18 EVEN 5.86 4.40 +1.45 -0.04 8 16.3% 49
19 +10 5.72 4.33 +1.39 +0.33 9 11.4% 79
20 -1 5.64 4.28 +1.36 -0.02 9 9.9% 91
21 EVEN 6.88 5.55 +1.33 -0.01 10 10.8% 93
22 -2 5.99 4.67 +1.32 -0.02 18 13.6% 132
23 +13 7.27 5.94 +1.32 +0.48 3 12.0% 25
24 -1 5.73 4.42 +1.31 +0.04 21 17.9% 117
25 -3 4.76 3.49 +1.28 -0.04 14 10.1% 138
26 -2 5.98 4.75 +1.23 -0.03 10 9.7% 103
27 NEW 7.08 5.85 +1.23 · 2 7.7% 26
28 -2 4.77 3.57 +1.20 +0.00 0 0.0% 18
29 -4 6.28 5.13 +1.15 -0.08 7 18.9% 37
30 -3 5.04 3.92 +1.12 +0.00 8 11.4% 70
31 -3 6.55 5.45 +1.10 +0.02 14 15.9% 88
32 -2 4.81 3.75 +1.06 +0.00 3 5.7% 53
33 -2 5.82 4.81 +1.01 +0.00 0 0.0% 9
34 -2 6.49 5.52 +0.98 +0.00 6 13.3% 45
35 -2 5.27 4.33 +0.93 -0.02 12 10.1% 119
36 -2 5.36 4.51 +0.85 +0.00 15 12.4% 121
37 +2 3.76 2.93 +0.83 +0.04 14 10.8% 130
38 -3 5.64 4.81 +0.83 -0.01 6 9.0% 67
39 -1 5.12 4.31 +0.81 +0.01 21 16.5% 127
40 -3 4.26 3.46 +0.80 -0.03 20 19.0% 105
41 EVEN 4.41 3.62 +0.78 +0.02 17 13.3% 128
42 EVEN 5.08 4.31 +0.77 +0.01 13 9.8% 133
43 +1 4.04 3.27 +0.77 +0.02 13 8.8% 147
44 -1 5.14 4.42 +0.73 -0.02 16 11.6% 138
45 -5 5.21 4.48 +0.73 -0.04 10 11.2% 89
46 -1 5.27 4.62 +0.65 -0.02 17 12.2% 139
47 -1 3.62 2.99 +0.64 -0.02 19 12.8% 148
48 -1 4.32 3.69 +0.63 +0.00 2 11.1% 18
49 -1 4.71 4.09 +0.62 +0.00 10 11.2% 89
50 -1 4.66 4.05 +0.61 +0.00 18 12.2% 148
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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.
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