Matt Harvey

P Norfolk Tides

Age 38 RHP 6'4" / 220 lbs AAA

Overview

AAASPLAST SEASON 2022

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2020	31	MLBKC	7	4	12	11.57	9.36	15.4%	7.7%	-0.5
2021	32	MLBBAL	28	28	128	6.27	4.39	16.3%	6.2%	1.5
2022	33	MIX3 levels	13	13	70	3.71	5.29	21.6%	8.2%	—	K 16.3% · BB 10.9% · FIP 6.85
2023	34	No MLB games played
2024	35	No MLB games played
2025	36	No MLB games played
2026	37	No MLB games played

Last 3 seasons WAR 1.0

Contract

No contract data on file.

Skills · percentileStatcast 2021

FB Velo34

xwOBA vs17

K%10

ERA—

FIP—

K%—

BB%—

K-BB%—

Proj IP—

Statcast · Contract

Statcast Percentiles

FB Velo

p3493.4

Whiff%

p1019.1%

p1016.3%

xwOBA vs

p170.351

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to the standard WAR scale.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
2012	23	MLB MLE	New York Mets	10	10	59	245	70	26	5	100%	5.9	28.6%	10.6%	18.0%	2.0%	2.73	3.15	+1.7
2012	23	MLB RAW	New York Mets	10	10	59	245	70	26	5	100%	5.9	28.6%	10.6%	18.0%	2.0%	2.73	3.15	+1.7
2013	24	MLB MLE	New York Mets	26	26	178	690	191	30	7	100%	6.9	27.7%	4.3%	23.3%	1.0%	2.27	1.87	+8.6
2013	24	MLB RAW	New York Mets	26	26	178	690	191	30	7	100%	6.9	27.7%	4.3%	23.3%	1.0%	2.27	1.97	+8.3
2015	26	MLB MLE	New York Mets	29	29	189	755	188	35	18	100%	6.5	24.9%	4.6%	20.3%	2.4%	2.71	2.90	+6.0
2015	26	MLB RAW	New York Mets	29	29	189	755	188	35	18	100%	6.5	24.9%	4.6%	20.3%	2.4%	2.71	2.90	+6.0
2016	27	MLB MLE	New York Mets	17	17	93	402	76	24	8	100%	5.5	18.9%	6.0%	12.9%	2.0%	4.86	3.35	+2.3
2016	27	MLB RAW	New York Mets	17	17	93	402	76	24	8	100%	5.5	18.9%	6.0%	12.9%	2.0%	4.86	3.36	+2.3
2017	28	MIX MLE	2 levels	21	20	100	467	72	46	22	95%	4.8	15.5%	10.2%	5.3%	4.9%	6.64	5.76	-0.4
2017	28	MIX RAW	2 levels	21	20	100	467	72	46	22	95%	4.8	15.4%	9.9%	5.6%	4.7%	6.64	5.89	-0.5
2018	29	MLB MLE	Cincinnati Reds	32	28	155	663	131	35	27	88%	4.8	19.8%	5.3%	14.5%	3.8%	4.94	4.17	+2.3
2018	29	MLB RAW	Cincinnati Reds	32	28	155	663	131	35	27	88%	4.8	19.8%	5.3%	14.5%	4.1%	4.94	4.35	+1.9
2019	30	MIX MLE	3 levels	20	18	87	383	72	37	17	90%	4.3	18.1%	10.2%	7.9%	4.3%	6.85	5.21	+0.2
2019	30	MIX RAW	3 levels	20	18	87	383	72	37	17	90%	4.3	18.8%	9.7%	9.1%	4.4%	6.85	5.27	+0.1
2020	31	MLB MLE	Kansas City Royals	7	4	12	65	10	5	6	57%	1.7	15.4%	7.7%	7.7%	10.0%	11.57	8.25	-0.4
2020	31	MLB RAW	Kansas City Royals	7	4	12	65	10	5	6	57%	1.7	15.4%	7.7%	7.7%	9.2%	11.57	9.36	-0.5
2021	32	MLB MLE	Baltimore Orioles	28	28	128	582	95	36	19	100%	4.6	16.3%	6.2%	10.1%	2.9%	6.27	4.12	+1.9
2021	32	MLB RAW	Baltimore Orioles	28	28	128	582	95	36	19	100%	4.6	16.3%	6.2%	10.1%	3.3%	6.27	4.39	+1.5
2022	33	MIX MLE	3 levels	13	13	70	291	63	24	16	100%	5.4	16.3%	10.9%	5.4%	6.8%	3.71	6.85	—
2022	33	MIX RAW	3 levels	13	13	70	291	63	24	16	100%	5.4	21.6%	8.2%	13.4%	5.5%	3.71	5.29	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			180	172	966	4099	867	264	124	96%	5.4	21.2%	6.4%	14.7%	3.0%	4.42	3.79	+18.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		180	172	966	4099	867	264	124	96%	5.4	21.2%	6.4%	14.7%	3.0%	4.42	3.79	+18.7
/ 200 IP	—	RAW		37	36	200	848	179	55	26	96%	5.4	21.2%	6.4%	14.7%	3.0%	4.42	3.79	+3.9
Career	—	MLE		203	193	1071	4543	950	309	146	95%	5.3	20.9%	6.8%	14.1%	3.2%	4.44	3.96	+18.7
/ 200 IP	—	MLE		38	36	200	848	177	58	27	95%	5.3	20.9%	6.8%	14.1%	3.2%	4.44	3.96	+3.9

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2022 AAANorfolk Tides · 54 IPFIP 6.16 → 6.85 (+0.70)K% 18.5% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.53%	—	×0.880	16.31%
BB% (unintentional) /BF	10.34%	—	×1.050	10.86%
HR / BF /BF	6.03%	÷0.970	×1.100	6.84%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 94).

Result: FIP 6.16 → 6.85, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AABowie Baysox · 10 IPFIP 2.45 → 3.18 (+0.73)K% 41.0% → 33.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.03%	—	×0.810	33.23%
BB% (unintentional) /BF	0.00%	—	×1.100	0.00%
HR / BF /BF	5.13%	÷1.170	×1.200	5.26%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 134).

Result: FIP 2.45 → 3.18, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 A+Aberdeen IronBirds · 6 IPFIP 1.41 → 1.80 (+0.39)K% 20.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.770	15.40%
BB% (unintentional) /BF	0.00%	—	×1.150	0.00%
HR / BF /BF	0.00%	÷1.029	×1.250	0.00%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 106).

Result: FIP 1.41 → 1.80, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AAALas Vegas Aviators · 23 IPFIP 3.14 → 3.47 (+0.33)K% 30.7% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.69%	—	×0.880	27.01%
BB% (unintentional) /BF	7.92%	—	×1.050	8.32%
HR / BF /BF	2.97%	÷1.119	×1.100	2.92%

Result: FIP 3.14 → 3.47, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 AABinghamton Rumble Ponies · 8 IPFIP 4.16 → 4.26 (+0.11)K% 13.9% → 11.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.89%	—	×0.810	11.25%
BB% (unintentional) /BF	5.56%	—	×1.100	6.11%
HR / BF /BF	2.78%	÷1.365	×1.200	2.44%

Result: FIP 4.16 → 4.26, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).