Bodi Rascon

P Fort Wayne TinCaps

Age 26 LHP 6'5" / 205 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	21	MIX2 levels	20	17	81	5.24	4.41	19.2%	8.2%	—	K 14.3% · BB 9.7% · FIP 5.59
2023	22	A+SD	17	15	63	3.59	3.80	22.7%	12.6%	—	K 17.5% · BB 14.5% · FIP 4.92
2025	24	MIX2 levels	26	0	51	7.01	5.18	15.5%	17.4%	—	K 11.5% · BB 19.8% · FIP 5.66
2026	25	No MLB games played
2027PROJ	26	MLBSD	—	—	0	6.69	6.69	10.8%	20.0%	—
2028PROJ37% MLB	27	MLBSD	3	3	16	6.48	6.49	12.1%	19.0%	-0.2
2029PROJ59% MLB	28	MLBSD	4	4	22	6.38	6.41	12.8%	18.4%	-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

Stuff25Control20Command20

CompsBrooks Gosswein (age 24) · Mike Kickham (age 26) · Jake Miednik (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144152vR 160

ERA6.69

FIP6.69

K%10.8%

BB%20.0%

K-BB%-9.2%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF2525

CTRL2020

CMD2020

K†3030

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)
2019	18	ROK MLE	AZL Padres 2	3	3	6	23	6	2	0	100%	2.0	26.1%	8.7%	17.4%	0.0%	0.00	2.00	—
2019	18	ROK RAW	AZL Padres 2	3	3	6	23	6	2	0	100%	2.0	26.1%	8.7%	17.4%	0.0%	0.00	2.10	—
2021	20	MIX MLE	2 levels	11	6	32	138	30	10	2	55%	2.9	15.4%	8.8%	6.6%	2.3%	3.94	4.18	—
2021	20	MIX RAW	2 levels	11	6	32	138	30	10	2	55%	2.9	21.7%	7.2%	14.5%	1.4%	3.94	2.98	—
2022	21	MIX MLE	2 levels	20	17	81	364	70	30	12	85%	4.0	14.3%	9.7%	4.7%	4.5%	5.24	5.59	—
2022	21	MIX RAW	2 levels	20	17	81	364	70	30	12	85%	4.0	19.2%	8.2%	11.0%	3.3%	5.24	4.41	—
2023	22	A+ MLE	Fort Wayne TinCaps	17	15	63	277	63	35	5	88%	3.7	17.5%	14.5%	3.0%	2.7%	3.59	4.92	—
2023	22	A+ RAW	Fort Wayne TinCaps	17	15	63	277	63	35	5	88%	3.7	22.7%	12.6%	10.1%	1.8%	3.59	3.80	—
2025	24	MIX MLE	2 levels	26	0	51	258	40	45	4	0%	2.0	11.5%	19.8%	-8.3%	1.9%	7.01	5.66	—
2025	24	MIX MLE	2 levels	26	0	51	258	40	45	4	0%	2.0	11.5%	19.8%	-8.3%	1.9%	7.01	5.66	—
2025	24	MIX RAW	2 levels	26	0	51	258	40	45	4	0%	2.0	15.5%	17.4%	-1.9%	1.6%	7.01	5.18	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SD	—	—	0	—	—	—	—	—	—	10.8%	20.0%	-9.2%	2.9%	6.69	6.69	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SD	7	7	45	188	23	36	6	100%	6.4	12.1%	19.0%	-6.9%	3.0%	6.48	6.49	-0.5
2029	28	MLB MLE	SD	6	6	38	161	21	30	5	100%	6.4	12.8%	18.4%	-5.6%	3.1%	6.38	6.41	-0.4
2028	27	MLB CTX	SD	3	3	16	68	8	13	2	100%	5.3	12.1%	19.0%	-6.9%	3.0%	6.48	6.49	-0.2
2029	28	MLB CTX	SD	4	4	22	93	12	17	3	100%	5.5	12.8%	18.4%	-5.6%	3.1%	6.38	6.41	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	6	39	164	20	31	5	100%	6.5	12.5%	18.7%	-6.2%	3.0%	6.42	6.07	-0.3
/ 200 IP	—	RAW		33	33	200	844	103	160	26	100%	6.0	12.5%	18.7%	-6.2%	3.0%	6.42	6.07	-1.4
Career	—	MLE		77	41	233	1060	158	141	32	53%	3.0	14.9%	13.3%	1.6%	3.0%	4.87	5.17	-1.0
/ 200 IP	—	MLE		66	35	200	911	135	121	27	53%	3.0	14.9%	13.3%	1.6%	3.0%	4.87	5.17	-2.3

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+Fort Wayne TinCaps · 43 IPFIP 4.79 → 5.66 (+0.87)K% 14.9% → 11.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.88%	—	×0.770	11.46%
BB% (unintentional) /BF	17.21%	—	×1.150	19.79%
HR / BF /BF	1.40%	÷0.941	×1.250	1.85%

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 88).

Result: FIP 4.79 → 5.66, 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 ALake Elsinore Storm · 8 IPFIP 5.16 → 6.49 (+1.33)K% 18.6% → 13.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.60%	—	×0.740	13.77%
BB% (unintentional) /BF	18.60%	—	×1.180	21.95%
HR / BF /BF	2.33%	÷0.936	×1.300	3.23%

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 87).

Result: FIP 5.16 → 6.49, 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+Fort Wayne TinCaps · 63 IPFIP 3.77 → 4.92 (+1.15)K% 22.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.74%	—	×0.770	17.51%
BB% (unintentional) /BF	12.64%	—	×1.150	14.53%
HR / BF /BF	1.81%	÷0.848	×1.250	2.66%

Result: FIP 3.77 → 4.92, 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 ALake Elsinore Storm · 64 IPFIP 3.39 → 4.38 (+0.98)K% 19.8% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.79%	—	×0.740	14.65%
BB% (unintentional) /BF	7.99%	—	×1.180	9.42%
HR / BF /BF	1.74%	÷0.938	×1.300	2.41%

Result: FIP 3.39 → 4.38, 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 A+Fort Wayne TinCaps · 16 IPFIP 7.88 → 10.20 (+2.32)K% 17.1% → 13.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.11%	—	×0.770	13.17%
BB% (unintentional) /BF	9.21%	—	×1.150	10.59%
HR / BF /BF	9.21%	÷0.920	×1.250	12.51%

Result: FIP 7.88 → 10.20, 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 ALake Elsinore Storm · 21 IPFIP 3.87 → 5.12 (+1.25)K% 15.9% → 11.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.91%	—	×0.740	11.77%
BB% (unintentional) /BF	6.82%	—	×1.180	8.05%
HR / BF /BF	2.27%	÷0.815	×1.300	3.63%

Result: FIP 3.87 → 5.12, 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 ROKACL Padres · 11 IPFIP 1.41 → 2.53 (+1.12)K% 32.0% → 21.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.00%	—	×0.680	21.76%
BB% (unintentional) /BF	8.00%	—	×1.250	10.00%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. 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 1.41 → 2.53, 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).

2019 ROKAZL Padres 2 · 6 IPFIP 2.00 → 2.98 (+0.98)K% 26.1% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.680	17.74%
BB% (unintentional) /BF	8.70%	—	×1.250	10.87%
HR / BF /BF	0.00%	÷1.000	×1.400	0.00%

Result: FIP 2.00 → 2.98, 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
Bodi Rascon (OGILVIE)	—	—	6.69	10.8%	20.0%	2.9%	—	6.45	12.4%	-6.3%	83	-0.24	—	—	—
Brooks Gosswein L 2023 · 5.61 FIP	24	SP-	5.61	15.2%	17.9%	2.8%	.301	—	—	—	—	—	5.13	165	71
Mike Kickham L 2015 · 6.80 FIP	26	SW	6.80	10.4%	27.2%	2.1%	.222	3.62	16.6%	12.0%	194	-3.18	3.00	397	70
Jake Miednik L 2022 · 6.12 FIP	26	SP-	6.12	10.5%	14.6%	3.8%	.348	—	—	—	—	—	1.55	126	68
Adam Loewen L 2008 · 6.87 FIP	24	SP-	6.87	13.7%	17.6%	4.9%	.308	—	—	—	—	—	2.96	340	68
Matt Stalcup L 2016 · 6.20 FIP	26	SW	6.20	11.5%	12.7%	4.5%	.337	—	—	—	—	—	3.62	145	63
Ian Clarkin L 2021 · 6.28 FIP	26	SP-	6.28	8.3%	12.2%	4.3%	.307	—	—	—	—	—	3.79	335	63
Brian Holmes L 2017 · 5.91 FIP	26	SW	5.91	15.5%	11.7%	4.8%	.354	—	—	—	—	—	3.60	205	62
Eric Stout L 2019 · 6.84 FIP	26	SW	6.84	16.3%	13.8%	6.1%	.299	4.91	25.6%	9.2%	83	-1.93	3.32	411	61
Erik Rivera L 2024 · 5.71 FIP	23	SP-	5.71	19.0%	14.6%	4.3%	.255	4.74	23.9%	6.3%	106	-0.97	4.42	141	61
Kevin Smith L 2022 · 6.20 FIP	25	SW	6.20	17.5%	16.2%	4.6%	.269	—	—	—	—	—	3.26	248	60
Mark Reyes L 2017 · 5.68 FIP	24	SP	5.68	8.9%	17.0%	2.1%	.317	—	—	—	—	—	3.20	378	58
Jared Poche L 2019 · 5.93 FIP	24	SU	5.93	13.4%	15.2%	3.7%	.275	—	—	—	—	—	4.09	156	57
Nate Peterson L 2024 · 5.51 FIP	24	SP-	5.51	19.2%	11.4%	4.7%	.296	4.75	16.0%	3.7%	148	-0.76	4.27	315	55
Eric Stults L 2006 · 6.74 FIP	26	SW	6.74	6.8%	9.6%	5.5%	.228	4.18	16.4%	7.6%	127	-2.56	3.50	773	54
Bryan Sammons L 2021 · 6.16 FIP	26	SP-	6.16	17.0%	13.4%	5.1%	.276	5.52	20.7%	11.5%	261	-0.64	3.58	688	53
Zac Lowther L 2022 · 5.67 FIP	26	SP-	5.67	17.8%	10.6%	5.0%	.436	—	—	—	—	—	3.09	375	51
Joey Walsh L 2022 · 7.30 FIP	24	SW	7.30	18.8%	12.9%	7.6%	.284	—	—	—	—	—	2.93	100	51
Tommy Sommer L 2023 · 6.99 FIP	24	SP	6.99	16.7%	16.4%	5.9%	.264	—	—	—	—	—	4.28	230	51
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	50
Jacob Latz L 2022 · 6.11 FIP	26	SP-	6.11	21.4%	13.4%	5.7%	.333	3.61	24.1%	13.2%	208	-2.50	2.39	480	48

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	0.7	47	11.8%	19.3%	1.15	6.54
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Denny Bautista ('10)	1.1	45	17.3%	12.7%	0.85	5.89
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
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*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*