Jorger Petri

P Lakeland Flying Tigers

Age 22 LHP 5'10" / 155 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	20	ADET	28	44	4.33	3.42	25.8%	12.9%	—	K 19.1% · BB 15.2% · FIP 4.69
2026	21	ADET	3	7	1.35	1.30	36.0%	8.0%	—	K 36.0% · BB 8.0% · FIP 1.07
2027PROJ	22	MLBDET	43	45	5.37	5.37	19.7%	15.2%	-0.4
2028PROJ49% MLB	23	MLBDET	22	23	5.12	5.03	20.8%	13.5%	-0.1
2029PROJ70% MLB	24	MLBDET	31	33	4.91	4.81	21.5%	12.4%	-0.1

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

Stuff45Control30Command40

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsBraeden Fausnaught (age 24) · Colby Langford (age 22) · Mark Manfredi Sr. (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119127vR 135

ERA5.37

FIP5.37

K%19.7%

BB%15.2%

K-BB%4.4%

Proj IP45

Value2027 · WAR

Runs saved vs league avg · 45 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL3030

CMD4040

K†4550

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 industry-standard fWAR.

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)
2022	17	ROK MLE	DSL Tigers 1	16	2	25	127	24	16	4	12%	1.6	12.9%	15.7%	-2.9%	4.4%	6.75	6.44	—
2022	17	ROK RAW	DSL Tigers 1	16	2	25	127	24	16	4	12%	1.6	18.9%	12.6%	6.3%	3.1%	6.75	5.15	—
2023	18	ROK MLE	DSL Tigers 1	9	9	35	165	32	11	1	100%	3.9	13.2%	8.3%	4.9%	1.0%	4.08	3.58	—
2023	18	ROK RAW	DSL Tigers 1	9	9	35	165	32	11	1	100%	3.9	19.4%	6.7%	12.7%	0.6%	4.08	2.59	—
2024	19	ROK MLE	DSL Tigers 1	11	10	43	173	46	17	1	91%	3.9	18.1%	12.3%	5.8%	0.7%	2.93	3.53	—
2024	19	ROK MLE	DSL Tigers 1	11	10	43	173	46	17	1	91%	3.9	18.1%	12.3%	5.8%	0.7%	2.93	3.53	—
2024	19	ROK RAW	DSL Tigers 1	11	10	43	173	46	17	1	91%	3.9	26.6%	9.8%	16.8%	0.6%	2.93	2.45	—
2025	20	A MLE	Lakeland Flying Tigers	28	0	44	194	50	25	3	0%	1.6	19.1%	15.2%	3.9%	2.3%	4.33	4.69	—
2025	20	A MLE	Lakeland Flying Tigers	28	0	44	194	50	25	3	0%	1.6	19.1%	15.2%	3.9%	2.3%	4.33	4.69	—
2025	20	A RAW	Lakeland Flying Tigers	28	0	44	194	50	25	3	0%	1.6	25.8%	12.9%	12.9%	1.5%	4.33	3.42	—
2026	21	A MLE	Lakeland Flying Tigers	3	0	7	25	9	2	0	0%	2.2	36.0%	8.0%	28.0%	0.0%	1.35	1.07	—
2026	21	A MLE	Lakeland Flying Tigers	3	0	7	25	9	2	0	0%	2.2	36.0%	8.0%	28.0%	0.0%	1.35	1.07	—
2026	21	A RAW	Lakeland Flying Tigers	3	0	7	25	9	2	0	0%	2.2	36.0%	8.0%	28.0%	0.0%	1.35	1.30	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	DET	43	0	45	190	37	29	6	0%	1.0	19.7%	15.2%	4.4%	2.9%	5.37	5.37	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	DET	44	0	46	195	41	26	6	0%	1.1	20.8%	13.5%	7.3%	2.9%	5.12	5.03	-0.2
2029	24	MLB MLE	DET	45	0	48	201	43	25	6	0%	1.1	21.5%	12.4%	9.2%	2.9%	4.91	4.81	-0.1
2028	23	MLB CTX	DET	22	0	23	97	20	13	3	0%	1.0	20.8%	13.5%	7.3%	2.9%	5.12	5.03	-0.1
2029	24	MLB CTX	DET	31	0	33	139	30	17	4	0%	1.1	21.5%	12.4%	9.2%	2.9%	4.91	4.81	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		53	0	56	236	50	30	7	0%	1.1	21.2%	12.8%	8.4%	2.9%	5.00	4.52	+0.0
/ 200 IP	—	RAW		190	0	200	844	179	107	25	0%	1.1	21.2%	12.8%	8.4%	2.9%	5.00	4.52	+0.1
Career	—	MLE		67	21	154	684	115	86	13	31%	2.3	16.9%	12.6%	4.2%	1.9%	4.15	4.32	-0.4
/ 200 IP	—	MLE		87	27	200	888	150	112	17	31%	2.3	16.9%	12.6%	4.2%	1.9%	4.15	4.32	-0.9

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
Jorger Petri (OGILVIE)	—	—	5.37	19.7%	15.2%	2.9%	—	4.92	21.1%	8.2%	94	-0.45	—	—	—
Braeden Fausnaught L 2023 · 4.77 FIP	24	SW	4.77	16.9%	16.4%	1.8%	.287	4.60	17.9%	9.7%	179	-0.17	4.43	242	83
Colby Langford L 2024 · 5.34 FIP	22	SW	5.34	21.6%	22.5%	2.2%	.273	6.01	22.2%	-1.1%	110	+0.67	4.92	168	83
Mark Manfredi Sr. L 2024 · 4.60 FIP	24	SW	4.60	22.0%	14.9%	2.7%	.289	3.22	25.4%	11.6%	128	-1.38	2.91	204	82
Jack O'Loughlin L 2022 · 4.83 FIP	22	SW	4.83	17.0%	13.7%	2.6%	.269	4.76	17.5%	7.2%	239	-0.07	3.78	348	81
Matt Walker L 2021 · 4.21 FIP	23	SU	4.21	16.7%	13.3%	1.5%	.324	4.62	15.5%	4.0%	94	+0.41	4.21	156	81
Marino Santy L 2024 · 4.80 FIP	22	SW	4.80	17.6%	16.1%	2.1%	.322	4.51	20.3%	1.1%	82	-0.29	3.91	270	81
Dante Biasi L 2021 · 4.91 FIP	23	SW	4.91	21.5%	12.6%	3.7%	.251	5.70	19.3%	2.3%	153	+0.79	4.91	224	80
Alex Winkelman L 2016 · 4.44 FIP	22	SW	4.44	15.8%	14.7%	1.5%	.344	3.77	18.8%	6.5%	181	-0.67	3.40	246	80
Matt Minnick L 2019 · 5.59 FIP	23	SU	5.59	17.2%	14.1%	3.9%	.302	4.67	23.5%	12.1%	105	-0.92	3.81	147	80
Sean Mellen L 2021 · 4.59 FIP	23	SU	4.59	21.5%	12.1%	3.2%	.364	4.01	21.3%	10.9%	55	-0.58	4.01	101	79
Joe Adametz L 2023 · 5.89 FIP	23	SW	5.89	19.0%	15.0%	4.5%	.158	4.32	14.8%	5.5%	224	-1.57	3.66	248	78
Luis Ysla L 2015 · 4.88 FIP	23	SW	4.88	19.6%	12.5%	3.4%	.412	4.47	18.3%	4.3%	208	-0.41	3.75	378	77
Luis De Paula L 2015 · 4.35 FIP	23	SW	4.35	14.8%	14.2%	1.3%	.285	5.37	16.4%	0.2%	47	+1.02	4.35	125	77
Connor Oliver L 2024 · 4.34 FIP	23	SW	4.34	17.3%	12.1%	2.1%	.314	6.07	19.2%	3.4%	165	+1.73	4.34	244	76
Caden Monke L 2022 · 5.48 FIP	22	SU	5.48	18.9%	12.8%	4.3%	.323	5.38	19.0%	-0.3%	51	-0.10	4.35	164	76
Estevan Gonzalez L 2015 · 4.77 FIP	23	SW	4.77	14.1%	10.7%	2.8%	.322	4.86	14.7%	0.1%	130	+0.09	4.58	195	75
Rio Britton L 2024 · 4.28 FIP	21	SU	4.28	19.2%	13.5%	2.0%	.354	5.03	22.4%	7.1%	98	+0.75	4.28	166	75
Bryce Hubbart L 2023 · 5.87 FIP	22	SW	5.87	17.0%	26.0%	1.7%	.303	5.28	17.9%	4.2%	149	-0.59	4.79	194	75
Brad Mills L 2010 · 4.22 FIP	25	SW	4.22	18.4%	12.2%	2.0%	.273	5.37	19.8%	7.7%	18	+1.15	4.22	243	75
Frankeli Arias L 2024 · 5.57 FIP	21	SW	5.57	18.0%	12.2%	4.5%	.305	5.51	14.9%	1.5%	124	-0.06	3.87	298	75

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.7	46	20.7%	13.7%	1.13	5.13
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43