Julian Bosnic

P Greensboro Grasshoppers

Age 27 LHP 6'3" / 218 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	23	MIX2 levels	36	0	57	4.74	3.99	31.0%	18.8%	—	K 22.5% · BB 21.0% · FIP 5.72
2024	24	A+PIT	24	0	39	3.03	3.54	23.1%	16.2%	—	K 17.8% · BB 18.6% · FIP 4.31
2025	25	A+PIT	42	1	51	3.51	4.07	26.0%	17.0%	—	K 20.0% · BB 19.6% · FIP 5.06
2026	26	No MLB games played
2027PROJ	27	MLBPIT	—	—	0	5.93	5.93	19.7%	20.0%	—
2028PROJ37% MLB	28	MLBPIT	17	0	18	5.82	5.85	19.9%	19.1%	-0.3
2029PROJ55% MLB	29	MLBPIT	21	0	22	5.80	5.87	19.9%	18.6%	-0.3

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control20Command35

CompsNick Lee (age 25) · Stephen Randolph (age 29) · Brian Marconi (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130138vR 146

ERA5.93

FIP5.93

K%19.7%

BB%20.0%

K-BB%-0.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL2020

CMD3535

K†4545

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)
2023	23	MIX MLE	2 levels	36	0	57	245	76	46	5	0%	1.6	22.5%	21.0%	1.6%	3.4%	4.74	5.72	—
2023	23	MIX RAW	2 levels	36	0	57	245	76	46	5	0%	1.6	31.0%	18.8%	12.2%	2.0%	4.74	3.99	—
2024	24	A+ MLE	Greensboro Grasshoppers	24	0	39	173	40	28	1	0%	1.6	17.8%	18.6%	-0.8%	0.7%	3.03	4.31	—
2024	24	A+ MLE	Greensboro Grasshoppers	24	0	39	173	40	28	1	0%	1.6	17.8%	18.6%	-0.8%	0.7%	3.03	4.31	—
2024	24	A+ RAW	Greensboro Grasshoppers	24	0	39	173	40	28	1	0%	1.6	23.1%	16.2%	6.9%	0.6%	3.03	3.54	—
2025	25	A+ MLE	Greensboro Grasshoppers	42	1	51	223	58	38	4	2%	1.2	20.0%	19.6%	0.4%	2.1%	3.51	5.06	—
2025	25	A+ MLE	Greensboro Grasshoppers	42	1	51	223	58	38	4	2%	1.2	20.0%	19.6%	0.4%	2.1%	3.51	5.06	—
2025	25	A+ RAW	Greensboro Grasshoppers	42	1	51	223	58	38	4	2%	1.2	26.0%	17.0%	9.0%	1.8%	3.51	4.07	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	PIT	—	—	0	—	—	—	—	—	—	19.7%	20.0%	-0.3%	2.9%	5.93	5.93	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	PIT	47	0	49	207	41	39	6	0%	1.0	19.9%	19.1%	0.8%	3.0%	5.82	5.85	-0.7
2029	29	MLB MLE	PIT	38	0	40	170	34	31	5	0%	1.1	19.9%	18.6%	1.4%	3.1%	5.80	5.87	-0.6
2028	28	MLB CTX	PIT	17	0	18	76	15	14	2	0%	1.1	19.9%	19.1%	0.8%	3.0%	5.82	5.85	-0.3
2029	29	MLB CTX	PIT	21	0	22	93	19	17	3	0%	1.0	19.9%	18.6%	1.4%	3.1%	5.80	5.87	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		38	0	40	169	34	32	5	0%	1.1	19.9%	18.8%	1.1%	3.1%	5.81	5.48	-0.4
/ 200 IP	—	RAW		190	0	200	844	170	160	25	0%	1.0	19.9%	18.8%	1.1%	3.1%	5.81	5.48	-2.2
Career	—	MLE		102	1	147	641	131	127	14	1%	1.4	20.4%	19.9%	0.5%	2.2%	3.86	5.11	-1.4
/ 200 IP	—	MLE		139	1	200	872	178	173	19	1%	1.4	20.4%	19.9%	0.5%	2.2%	3.86	5.11	-3.0

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 A+Greensboro Grasshoppers · 51 IPFIP 4.05 → 5.06 (+1.02)K% 26.0% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.01%	—	×0.770	20.03%
BB% (unintentional) /BF	17.04%	—	×1.150	19.60%
HR / BF /BF	1.79%	÷1.048	×1.250	2.14%

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 110).

Result: FIP 4.05 → 5.06, 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 A+Greensboro Grasshoppers · 39 IPFIP 3.51 → 4.31 (+0.80)K% 23.1% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.12%	—	×0.770	17.80%
BB% (unintentional) /BF	16.18%	—	×1.150	18.61%
HR / BF /BF	0.58%	÷1.106	×1.250	0.65%

Result: FIP 3.51 → 4.31, 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 ABradenton Marauders · 46 IPFIP 4.17 → 5.72 (+1.55)K% 30.5% → 22.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.46%	—	×0.740	22.54%
BB% (unintentional) /BF	17.77%	—	×1.180	20.96%
HR / BF /BF	2.54%	÷0.971	×1.300	3.40%

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 94).

Result: FIP 4.17 → 5.72, 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+Greensboro Grasshoppers · 11 IPFIP 3.19 → 4.27 (+1.08)K% 33.3% → 25.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.770	25.67%
BB% (unintentional) /BF	22.92%	—	×1.150	26.35%
HR / BF /BF	0.00%	÷1.202	×1.250	0.00%

Result: FIP 3.19 → 4.27, 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
Julian Bosnic (OGILVIE)	—	—	5.93	19.7%	20.0%	2.9%	—	5.86	19.9%	1.1%	89	-0.07	—	—	—
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	83
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	82
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	81
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	78
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	77
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	77
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	77
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	77
Hunter Cervenka L 2017 · 5.91 FIP	27	SU	5.91	18.9%	15.0%	4.6%	.282	3.10	25.9%	15.0%	81	-2.81	3.08	194	76
Andrew Mitchell L 2022 · 6.04 FIP	27	SU	6.04	18.2%	17.0%	4.2%	.317	—	—	—	—	—	2.51	119	76
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	76
Kit Scheetz L 2021 · 5.08 FIP	27	SU	5.08	16.2%	13.6%	2.9%	.278	—	—	—	—	—	2.34	195	75
Nick Hagadone L 2013 · 4.75 FIP	27	SU	4.75	22.6%	15.0%	3.0%	.253	3.34	25.9%	19.0%	51	-1.41	2.97	141	75
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	73
Trey Cumbie L 2022 · 5.07 FIP	26	SU	5.07	23.3%	16.1%	3.4%	.215	—	—	—	—	—	3.44	152	72
Will Lamb L 2017 · 5.78 FIP	26	SU	5.78	20.0%	14.0%	4.7%	.322	—	—	—	—	—	3.64	178	72
Cody Beckman L 2021 · 5.27 FIP	26	SU	5.27	19.3%	14.9%	3.5%	.331	—	—	—	—	—	3.76	189	72
Mitchell Tyranski L 2024 · 4.90 FIP	26	SU	4.90	21.0%	12.3%	3.7%	.234	3.46	20.5%	4.0%	57	-1.44	3.46	145	72
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	71
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	71

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	19.8%	19.3%	1.15	5.86
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Lloyd Allen ('69-'75, -5 WAR*)	1.5	59	19.8%*	13.9%*	0.79*	5.99*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*