Leonardo Rossel — OGILVIE

Leonardo Rossel P FCL Tigers

Age 21 RHP 6'0" / 170 lbs ROK

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 10 proj IP

wRC+ AGAINSTvL 136128vR 120

ERA5.42

FIP5.42

K%19.6%

BB%15.6%

K-BB%4.0%

ROS IP11

Value2026 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

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 + 2026 so far)
2023	18	ROK MLE	DSL Tigers 1	12	1	14	65	18	7	2	8%	1.2	18.8%	13.5%	5.4%	5.0%	4.40	5.96	—
2023	18	ROK MLE	DSL Tigers 1	12	1	14	65	18	7	2	8%	1.2	18.8%	13.5%	5.4%	5.0%	4.40	5.96	—
2023	18	ROK RAW	DSL Tigers 1	12	1	14	65	18	7	2	8%	1.2	27.7%	10.8%	16.9%	3.1%	4.40	3.87	—
2024	19	ROK MLE	DSL Tigers 1	18	2	28	126	22	16	1	11%	1.6	11.9%	15.9%	-4.0%	1.0%	4.82	4.66	—
2024	19	ROK MLE	DSL Tigers 1	18	2	28	126	22	16	1	11%	1.6	11.9%	15.9%	-4.0%	1.0%	4.82	4.66	—
2024	19	ROK RAW	DSL Tigers 1	18	2	28	126	22	16	1	11%	1.6	17.5%	12.7%	4.8%	0.8%	4.82	3.71	—
2025	20	ROK MLE	DSL Tigers 1	11	0	14	68	13	11	2	0%	1.2	13.0%	20.2%	-7.2%	1.3%	7.90	5.27	—
2025	20	ROK MLE	DSL Tigers 1	11	0	14	68	13	11	2	0%	1.2	13.0%	20.2%	-7.2%	1.3%	7.90	5.27	—
2025	20	ROK RAW	DSL Tigers 1	11	0	14	68	13	11	2	0%	1.2	19.1%	16.2%	2.9%	2.9%	7.90	5.51	—
▸ 2026 season
YTD	21	A MLE	Lakeland Flying Tigers	21	0	27	123	25	17	2	0%	1.3	14.9%	14.4%	0.5%	3.2%	5.60	5.43	—
YTD	21	A MLE	Lakeland Flying Tigers	21	0	27	123	25	17	2	0%	1.3	14.9%	14.4%	0.5%	3.2%	5.60	5.43	—
▸ 2026 season — so far · projected rest · full
2026	21	ROK RAW	DET	16	0	21	87	19	10	2	0%	1.3	21.8%	11.5%	10.3%	2.3%	4.29	3.97	—
2026	21	A RAW	DET	5	0	6	36	6	7	0	0%	1.3	16.7%	19.4%	-2.8%	0.0%	9.95	4.16	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	22	MLB MLE	DET	27	0	28	119	25	16	3	0%	1.0	21.1%	13.4%	7.7%	2.9%	5.11	4.98	-0.1
2027	22	MLB CTX	DET	13	0	14	59	12	8	2	0%	1.1	21.1%	13.4%	7.7%	2.9%	5.11	4.98	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		13	0	14	58	12	8	2	0%	1.1	21.1%	13.4%	7.7%	2.9%	5.11	4.60	-0.0
/ 200 IP	—	RAW		190	0	200	844	174	116	29	0%	1.1	21.1%	13.4%	7.7%	2.9%	5.11	4.60	-0.1
Career	—	MLE		62	3	83	382	54	60	9	5%	1.3	14.2%	15.8%	-1.5%	2.4%	5.51	5.24	-0.1
/ 200 IP	—	MLE		149	7	200	917	130	144	22	5%	1.3	14.2%	15.8%	-1.5%	2.4%	5.51	5.24	-1.0

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
Leonardo Rossel (OGILVIE)	—	—	5.42	19.6%	15.6%	2.9%	—	4.98	21.1%	7.7%	28	-0.44	—	—	—
Paul Gervase R 2022 · 4.91 FIP	22	SU	4.91	20.3%	16.2%	2.7%	.345	3.79	29.0%	15.6%	152	-1.12	3.38	209	90
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	89
Tim Naughton R 2017 · 4.53 FIP	21	SU	4.53	17.9%	15.6%	1.8%	.312	3.58	20.7%	6.4%	83	-0.95	2.93	305	89
Tommy DeJuneas R 2017 · 4.72 FIP	21	SU	4.72	19.1%	15.5%	2.3%	.357	4.59	20.8%	4.9%	100	-0.13	3.93	178	88
Tyler Smith R 2018 · 5.30 FIP	22	SU	5.30	17.8%	14.3%	3.4%	.329	4.35	19.8%	7.8%	94	-0.95	3.44	121	88
Brandon Dufault R 2021 · 5.32 FIP	22	SU	5.32	22.1%	15.9%	3.8%	.278	4.83	21.0%	4.2%	66	-0.49	4.38	152	88
Jackson Rose R 2018 · 5.32 FIP	22	SU	5.32	17.3%	17.2%	2.8%	.267	4.77	23.5%	16.5%	56	-0.55	3.33	147	88
Andrew Schultz R 2019 · 5.25 FIP	22	SU	5.25	20.9%	17.8%	3.0%	.345	4.59	23.0%	4.7%	45	-0.66	3.10	167	87
Nick Kuzia R 2017 · 5.18 FIP	21	SU	5.18	16.5%	15.2%	2.8%	.361	5.35	17.6%	6.6%	60	+0.17	4.54	231	87
Osiel Rodriguez R 2023 · 4.82 FIP	21	SU	4.82	22.7%	15.7%	3.0%	.263	5.62	22.0%	7.6%	56	+0.80	3.38	124	87
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	86
Jason Ruffcorn R 2021 · 4.74 FIP	23	SU	4.74	16.6%	14.2%	2.3%	.297	4.69	17.6%	4.2%	136	-0.05	4.01	280	86
Adam Ravenelle R 2015 · 4.32 FIP	22	SU	4.32	19.6%	14.8%	1.8%	.322	5.06	17.1%	4.3%	130	+0.74	4.32	165	86
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	85
Hobie Harris R 2015 · 4.28 FIP	22	SU	4.28	18.1%	13.3%	1.9%	.239	3.36	21.2%	12.0%	144	-0.92	3.31	474	85
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.17	18.2%	4.9%	93	-0.19	3.20	213	85
Stefan Raeth R 2023 · 4.62 FIP	22	SU	4.62	18.0%	15.4%	2.0%	.309	4.73	17.5%	8.3%	124	+0.11	4.51	173	85
Jonathan Jimenez R 2023 · 5.41 FIP	19	SU	5.41	16.4%	16.2%	3.0%	.333	5.09	14.1%	2.2%	178	-0.32	3.49	189	85
Cory Thompson R 2017 · 5.42 FIP	22	SU	5.42	15.2%	15.7%	2.9%	.289	4.34	16.3%	10.6%	131	-1.08	3.59	218	84
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	84