Jack Kochanowicz

P Los Angeles Angels

Age 26 RHP 6'7" / 228 lbs MLB peak 0.1 · 2027 ILInjured 60-Day (D60)

Overview

MLBSPIL-6040-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	29	29	167	4.30	3.58	15.7%	5.1%	3.7	K 13.4% · BB 5.5% · FIP 3.96
2025	24	MIX2 levels	27	27	131	6.68	5.75	14.5%	11.5%	-0.5	K 14.1% · BB 11.2% · FIP 5.49
2026	25	MLBLAA	13	13	64	6.19	4.69	15.9%	11.8%	0.5
2027PROJ	26	MLBLAA	4	4	23	5.46	5.32	15.5%	11.5%	0.0
2028PROJ95% MLB	27	MLBLAA	6	6	37	5.40	5.36	15.5%	11.6%	0.0
2029PROJ95% MLB	28	MLBLAA	5	5	28	5.43	5.44	15.3%	11.7%	-0.0

Last 3 seasons WAR 3.7 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo74

xwOBA vs11

K%10

CompsPaul Rigdon (age 25) · Joe Nathan (age 25) · Justin Miller (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135127vR 119

ERA5.46

FIP5.32

K%15.5%

BB%11.5%

K-BB%4.0%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 IP

Grades · Statcast · Contract

Scouting Grades

STUF3535

CTRL5050

CMD2525

K†3030

Statcast Percentiles

FB Velo

p7496.2

Whiff%

p3823.6%

p1015.9%

xwOBA vs

p110.358

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)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	20	A MLE	Inland Empire 66ers	20	18	83	385	73	35	12	90%	4.2	14.0%	10.7%	3.3%	4.0%	6.91	5.45	—
2021	20	A RAW	Inland Empire 66ers	20	18	83	385	73	35	12	90%	4.2	19.0%	9.1%	9.9%	3.1%	6.91	4.48	—
2022	21	A MLE	Inland Empire 66ers	17	9	58	248	53	18	6	53%	3.4	15.8%	8.6%	7.2%	3.5%	4.99	4.79	—
2022	21	A RAW	Inland Empire 66ers	17	9	58	248	53	18	6	53%	3.4	21.4%	7.3%	14.1%	2.4%	4.99	3.55	—
2023	22	MIX MLE	2 levels	21	21	94	407	69	25	15	100%	4.5	13.6%	6.8%	6.8%	4.6%	5.27	5.31	—
2023	22	MIX RAW	2 levels	21	21	94	407	69	25	15	100%	4.5	17.0%	6.1%	10.8%	3.7%	5.27	4.50	—
2024	23	MIX MLE	2 levels	29	29	167	707	111	36	15	100%	5.8	13.4%	5.5%	7.9%	2.4%	4.30	3.96	+2.9
2024	23	MIX MLE	2 levels	29	29	167	707	111	36	15	100%	5.8	13.4%	5.5%	7.9%	2.4%	4.30	3.96	+2.9
2024	23	MIX RAW	2 levels	29	29	167	707	111	36	15	100%	5.8	15.7%	5.1%	10.6%	2.1%	4.30	3.58	+3.7
2025	24	MIX MLE	2 levels	27	27	131	608	88	70	24	100%	4.8	14.1%	11.2%	2.9%	3.9%	6.68	5.49	-0.1
2025	24	MIX MLE	2 levels	27	27	131	608	88	70	24	100%	4.8	14.1%	11.2%	2.9%	3.9%	6.68	5.49	-0.1
2025	24	MIX RAW	2 levels	27	27	131	608	88	70	24	100%	4.8	14.5%	11.5%	3.0%	3.9%	6.68	5.75	-0.5
2026	25	MLB MLE	Los Angeles Angels	13	13	64	296	47	35	7	100%	4.9	15.9%	11.8%	4.1%	2.3%	6.19	4.53	+0.6
2026	25	MLB MLE	Los Angeles Angels	13	13	64	296	47	35	7	100%	4.9	15.9%	11.8%	4.1%	2.3%	6.19	4.53	+0.6
2026	25	MLB RAW	Los Angeles Angels	13	13	64	296	47	35	7	100%	4.9	15.9%	11.8%	4.1%	2.4%	6.19	4.69	+0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			47	47	240	1074	144	98	35	100%	5.1	13.4%	9.1%	4.3%	3.3%	5.88	5.02	+1.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	LAA	4	4	23	97	15	11	3	100%	5.8	15.5%	11.5%	4.0%	3.1%	5.46	5.32	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	LAA	6	6	39	164	25	19	5	100%	6.5	15.5%	11.6%	3.9%	3.1%	5.40	5.36	+0.0
2029	28	MLB MLE	LAA	5	5	30	126	19	15	4	100%	6.0	15.3%	11.7%	3.6%	3.2%	5.43	5.44	-0.0
2030	29	MLB MLE	LAA	4	4	22	95	14	11	3	100%	5.6	14.7%	11.9%	2.8%	3.4%	5.53	5.60	-0.0
2031	30	MLB MLE	LAA	3	3	18	78	11	10	3	100%	6.2	14.0%	12.2%	1.8%	3.6%	5.70	5.81	-0.1
2028	27	MLB CTX	LAA	6	6	37	156	24	18	5	100%	6.2	15.5%	11.6%	3.9%	3.1%	5.40	5.36	+0.0
2029	28	MLB CTX	LAA	5	5	28	118	18	14	4	100%	5.6	15.3%	11.7%	3.6%	3.2%	5.43	5.44	-0.0
2030	29	MLB CTX	LAA	4	4	21	89	13	11	3	100%	5.2	14.7%	11.9%	2.8%	3.4%	5.53	5.60	-0.0
2031	30	MLB CTX	LAA	3	3	18	76	11	9	3	100%	6.0	14.0%	12.2%	1.8%	3.6%	5.70	5.81	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		64	64	344	1514	210	150	49	100%	5.4	13.9%	9.9%	4.0%	3.3%	5.76	4.98	+1.7
/ 200 IP	—	RAW		37	37	200	879	122	87	28	100%	5.4	13.9%	9.9%	4.0%	3.3%	5.76	4.98	+1.0
Career	—	MLE		127	117	597	2651	376	232	90	92%	4.7	14.2%	8.8%	5.4%	3.4%	5.61	4.88	+0.9
/ 200 IP	—	MLE		43	39	200	888	126	78	30	92%	4.7	14.2%	8.8%	5.4%	3.4%	5.61	4.88	+0.5

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.

2025 AAASalt Lake Bees · 20 IPFIP 5.52 → 5.70 (+0.18)K% 16.7% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.67%	—	×0.860	14.33%
BB% (unintentional) /BF	16.67%	—	×0.900	15.00%
HR / BF /BF	3.12%	÷0.989	×1.100	3.48%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, 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 98).

Result: FIP 5.52 → 5.70, 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).

2024 AARocket City Trash Pandas · 102 IPFIP 3.22 → 3.84 (+0.62)K% 19.5% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.50%	—	×0.810	15.80%
BB% (unintentional) /BF	6.12%	—	×1.100	6.73%
HR / BF /BF	1.81%	÷0.976	×1.200	2.23%

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 95).

Result: FIP 3.22 → 3.84, 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).

2023 AARocket City Trash Pandas · 70 IPFIP 5.15 → 6.15 (+1.00)K% 17.7% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.68%	—	×0.810	14.32%
BB% (unintentional) /BF	7.07%	—	×1.100	7.78%
HR / BF /BF	4.82%	÷0.970	×1.200	5.96%

Result: FIP 5.15 → 6.15, 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).

2023 A+Tri-City Dust Devils · 24 IPFIP 2.26 → 2.61 (+0.34)K% 14.6% → 11.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.58%	—	×0.770	11.23%
BB% (unintentional) /BF	3.12%	—	×1.150	3.59%
HR / BF /BF	0.00%	÷0.990	×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 98).

Result: FIP 2.26 → 2.61, 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 AInland Empire 66ers · 58 IPFIP 3.54 → 4.79 (+1.25)K% 21.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.37%	—	×0.740	15.81%
BB% (unintentional) /BF	7.26%	—	×1.180	8.56%
HR / BF /BF	2.42%	÷0.889	×1.300	3.54%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 78).

Result: FIP 3.54 → 4.79, 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).

2021 AInland Empire 66ers · 83 IPFIP 4.36 → 5.45 (+1.09)K% 19.0% → 14.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.96%	—	×0.740	14.03%
BB% (unintentional) /BF	9.09%	—	×1.180	10.73%
HR / BF /BF	3.12%	÷1.023	×1.300	3.96%

Result: FIP 4.36 → 5.45, 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).

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Jack Kochanowicz (OGILVIE)	—	—	5.32	15.5%	11.5%	3.1%	—	5.45	15.2%	3.5%	91	+0.13	—	—	—
Paul Rigdon R 2001 · 5.34 FIP	25	SP	5.34	13.6%	11.1%	3.6%	.283	—	—	—	—	—	5.29	167	76
Joe Nathan R 2000 · 5.19 FIP	25	SP-	5.19	14.3%	13.8%	2.8%	.262	3.30	26.3%	16.8%	79	-1.89	1.25	929	73
Justin Miller R 2004 · 5.41 FIP	26	SP-	5.41	12.5%	10.4%	3.7%	.316	2.63	28.6%	21.7%	62	-2.78	2.63	373	72
Micah Owings R 2009 · 5.29 FIP	26	SP-	5.29	12.5%	11.3%	3.3%	.273	4.37	18.8%	7.5%	96	-0.92	4.23	473	71
Jarred Cosart R 2016 · 5.13 FIP	26	SP	5.13	13.1%	12.9%	2.7%	.297	4.10	13.2%	-3.5%	24	-1.03	3.70	458	71
Mike Thurman R 2000 · 4.51 FIP	27	SP	4.51	12.5%	10.1%	2.2%	.330	4.27	14.7%	8.1%	180	-0.24	3.46	482	70
Britt Reames R 2000 · 4.49 FIP	26	SP	4.49	18.2%	12.9%	2.4%	.230	4.35	21.9%	11.5%	163	-0.14	3.76	204	69
Fernando Nieve R 2009 · 4.67 FIP	27	SP	4.67	14.3%	11.2%	2.5%	.276	5.71	20.5%	9.7%	42	+1.04	1.96	287	69
Charlie Morton R 2010 · 4.89 FIP	26	SP	4.89	15.4%	6.0%	4.2%	.340	3.52	14.8%	7.0%	338	-1.37	2.52	2,281	68
Rob Bell R 2003 · 5.22 FIP	26	SP	5.22	10.0%	8.6%	3.4%	.257	5.10	10.7%	2.6%	148	-0.12	4.65	686	68
Alex White R 2015 · 5.00 FIP	26	SP-	5.00	10.2%	11.9%	2.3%	.270	—	—	—	—	—	4.46	233	67
Runelvys Hernandez R 2003 · 4.50 FIP	25	SP	4.50	12.1%	9.3%	2.3%	.257	5.16	11.4%	1.7%	269	+0.66	4.17	455	67
Hiram Burgos R 2013 · 4.89 FIP	25	SP	4.89	12.9%	7.9%	3.4%	.314	3.73	18.0%	8.7%	293	-1.16	3.40	384	67
Josh Banks R 2008 · 4.81 FIP	26	SP-	4.81	11.6%	7.3%	3.2%	.283	6.01	9.0%	6.0%	23	+1.20	4.81	108	67
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	67
Alejandro Martinez R 2015 · 4.46 FIP	26	SP-	4.46	17.5%	10.9%	2.7%	.393	4.24	9.2%	3.9%	53	-0.22	4.24	166	66
Ike Buxton R 2024 · 4.45 FIP	24	SP	4.45	15.4%	13.1%	1.8%	.341	4.97	13.8%	-5.5%	46	+0.52	4.45	196	66
Wes Obermueller R 2003 · 4.93 FIP	26	SP	4.93	11.2%	7.6%	3.3%	.301	4.77	11.1%	2.0%	183	-0.16	4.72	308	66
Nestor Molina R 2016 · 4.83 FIP	27	SP	4.83	15.0%	8.0%	3.6%	.304	3.61	17.0%	10.2%	289	-1.22	3.01	401	66
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	66

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.9	47	14.0%	10.4%	1.26	5.74
Scott Aldred ('00)	2.5	71	13.8%	10.1%	1.40	6.02
Dave Borkowski ('08)	1.7	58	16.9%	9.5%	1.25	5.87
Mike Lincoln ('10)	1.9	54	14.1%	8.9%	1.32	5.33
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Rob Gardner ('65-'73, -2 WAR*)	1.7	66	17.4%*	9.9%*	1.32*	5.45*
Galen Cisco ('61-'69, -2 WAR*)	3.3	94	14.7%*	10.4%*	1.22*	5.30*