Jacob Kroeger

P Rome Emperors

Age 27 LHP 6'1" / 190 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	AATL	7	1	13	2.13	4.60	27.1%	28.8%	—	K 20.1% · BB 34.0% · FIP 5.71
2025	25	MIX2 levels	23	12	91	1.98	2.95	24.3%	8.8%	—	K 18.4% · BB 10.2% · FIP 3.94
2026	26	A+ATL	34	1	50	4.86	3.68	26.6%	14.4%	—	K 20.5% · BB 16.6% · FIP 4.67
2027PROJ	27	MLBATL	—	—	0	5.46	5.46	17.7%	15.4%	—
2028PROJ37% MLB	28	MLBATL	17	0	18	5.40	5.43	18.1%	14.9%	-0.2
2029PROJ55% MLB	29	MLBATL	21	0	22	5.41	5.48	18.3%	14.7%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control45Command35

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsStephen Randolph (age 29) · Kit Scheetz (age 27) · John Bale (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121129vR 137

ERA5.46

FIP5.46

K%17.7%

BB%15.4%

K-BB%2.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4545

CMD3535

K†4045

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)
2024	24	A MLE	Augusta GreenJackets	7	1	13	59	16	17	0	14%	1.8	20.1%	34.0%	-13.9%	0.0%	2.13	5.71	—
2024	24	A MLE	Augusta GreenJackets	7	1	13	59	16	17	0	14%	1.8	20.1%	34.0%	-13.9%	0.0%	2.13	5.71	—
2024	24	A RAW	Augusta GreenJackets	7	1	13	59	16	17	0	14%	1.8	27.1%	28.8%	-1.7%	0.0%	2.13	4.60	—
2025	25	MIX MLE	2 levels	23	12	91	354	86	31	5	52%	4.0	18.4%	10.2%	8.2%	2.0%	1.98	3.94	—
2025	25	MIX MLE	2 levels	23	12	91	354	86	31	5	52%	4.0	18.4%	10.2%	8.2%	2.0%	1.98	3.94	—
2025	25	MIX RAW	2 levels	23	12	91	354	86	31	5	52%	4.0	24.3%	8.8%	15.5%	1.4%	1.98	2.95	—
2026	26	A+ MLE	Rome Emperors	34	1	50	229	61	33	4	3%	1.5	20.5%	16.6%	3.9%	2.2%	4.86	4.67	—
2026	26	A+ MLE	Rome Emperors	34	1	50	229	61	33	4	3%	1.5	20.5%	16.6%	3.9%	2.2%	4.86	4.67	—
2026	26	A+ RAW	Rome Emperors	34	1	50	229	61	33	4	3%	1.5	26.6%	14.4%	12.2%	1.7%	4.86	3.68	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	ATL	—	—	0	—	—	—	—	—	—	17.7%	15.4%	2.3%	2.8%	5.46	5.46	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	ATL	47	0	49	208	38	31	6	0%	1.0	18.1%	14.9%	3.2%	2.9%	5.40	5.43	-0.5
2029	29	MLB MLE	ATL	39	0	41	172	31	25	5	0%	1.0	18.3%	14.7%	3.6%	3.1%	5.41	5.48	-0.4
2028	28	MLB CTX	ATL	17	0	18	76	14	11	2	0%	1.1	18.1%	14.9%	3.2%	2.9%	5.40	5.43	-0.2
2029	29	MLB CTX	ATL	21	0	22	93	17	14	3	0%	1.0	18.3%	14.7%	3.6%	3.1%	5.41	5.48	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		39	0	41	171	31	25	5	0%	1.0	18.2%	14.8%	3.4%	3.0%	5.41	5.08	-0.2
/ 200 IP	—	RAW		190	0	200	844	153	123	25	0%	1.1	18.2%	14.8%	3.4%	3.0%	5.41	5.08	-1.2
Career	—	MLE		64	14	154	642	124	94	12	22%	2.4	19.3%	14.6%	4.7%	1.9%	2.93	4.36	-0.9
/ 200 IP	—	MLE		83	18	200	836	161	122	16	22%	2.4	19.3%	14.6%	4.7%	1.9%	2.93	4.36	-2.1

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.

2026 A+Rome Emperors · 50 IPFIP 3.63 → 4.67 (+1.03)K% 26.6% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.64%	—	×0.770	20.51%
BB% (unintentional) /BF	14.41%	—	×1.150	16.57%
HR / BF /BF	1.75%	÷1.000	×1.250	2.18%

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 100).

Result: FIP 3.63 → 4.67, 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).

2025 A+Rome Emperors · 62 IPFIP 3.50 → 4.51 (+1.01)K% 19.0% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.01%	—	×0.770	14.64%
BB% (unintentional) /BF	8.68%	—	×1.150	9.98%
HR / BF /BF	1.65%	÷0.819	×1.250	2.52%

Result: FIP 3.50 → 4.51, 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).

2025 AAugusta GreenJackets · 29 IPFIP 1.71 → 2.70 (+1.00)K% 35.7% → 26.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.71%	—	×0.740	26.43%
BB% (unintentional) /BF	8.93%	—	×1.180	10.54%
HR / BF /BF	0.89%	÷1.281	×1.300	0.91%

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 156).

Result: FIP 1.71 → 2.70, 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 AAugusta GreenJackets · 13 IPFIP 4.46 → 5.71 (+1.25)K% 27.1% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.12%	—	×0.740	20.07%
BB% (unintentional) /BF	28.81%	—	×1.180	34.00%
HR / BF /BF	0.00%	÷1.010	×1.300	0.00%

Result: FIP 4.46 → 5.71, 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
Jacob Kroeger (OGILVIE)	—	—	5.46	17.7%	15.4%	2.8%	—	5.45	18.2%	3.4%	90	-0.01	—	—	—
Stephen Randolph L 2003 · 4.83 FIP	29	SU	4.83	18.5%	14.8%	2.6%	.247	5.69	15.8%	-3.0%	82	+0.86	4.83	155	79
Kit Scheetz L 2021 · 5.08 FIP	27	SU	5.08	16.2%	13.6%	2.9%	.278	—	—	—	—	—	2.34	195	78
John Bale L 2001 · 4.41 FIP	27	SU	4.41	18.6%	15.0%	1.8%	.219	4.12	19.0%	13.9%	46	-0.29	2.49	168	78
Sean Keselica L 2019 · 4.47 FIP	26	SU	4.47	18.0%	14.5%	1.9%	.314	—	—	—	—	—	2.79	235	77
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	77
Brian Moran L 2015 · 4.50 FIP	26	SU	4.50	17.7%	14.1%	2.0%	.318	2.74	25.0%	17.4%	80	-1.76	1.80	421	77
Greg Nappo L 2016 · 5.09 FIP	27	SU	5.09	17.2%	10.3%	3.9%	.285	6.26	12.3%	-0.3%	11	+1.17	3.37	144	76
Randy Labaut L 2024 · 4.80 FIP	27	SU	4.80	16.0%	12.9%	2.6%	.276	5.15	22.2%	10.9%	37	+0.35	1.91	302	76
Will Lamb L 2017 · 5.78 FIP	26	SU	5.78	20.0%	14.0%	4.7%	.322	—	—	—	—	—	3.64	178	76
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	75
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	75
Justin Wright L 2016 · 4.42 FIP	26	SU	4.42	14.7%	13.7%	1.5%	.302	—	—	—	—	—	2.28	109	75
Stephen Peterson L 2015 · 4.59 FIP	27	SU	4.59	13.0%	9.5%	2.5%	.284	3.04	17.3%	6.3%	55	-1.55	3.04	120	75
Heath Murray L 2001 · 5.40 FIP	28	SU	5.40	14.0%	11.6%	3.6%	.333	6.02	20.0%	7.3%	12	+0.62	4.69	159	75
Jordan Norberto L 2015 · 4.30 FIP	28	SU	4.30	16.9%	14.1%	1.5%	.307	—	—	—	—	—	3.89	117	75
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	75
Matt Mikulski L 2024 · 6.18 FIP	25	SU	6.18	15.3%	17.1%	4.0%	.275	4.98	19.5%	-8.3%	18	-1.20	4.92	223	74
David Rollins L 2017 · 5.58 FIP	27	SU	5.58	18.0%	12.1%	4.5%	.260	5.68	15.9%	12.5%	20	+0.10	3.59	132	74
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	74
Anderson Polanco L 2019 · 5.09 FIP	26	SU	5.09	18.9%	16.3%	2.8%	.317	—	—	—	—	—	4.10	316	74

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	0.8	53	18.0%	15.0%	1.12	5.43
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*