Leonard Garcia

P Rocket City Trash Pandas

Age 23 LHP 6'2" / 215 lbs AA peak 0.2 · 2030

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	20	A+LAA	28	1	53	3.71	3.62	23.4%	12.1%	—	K 18.0% · BB 13.9% · FIP 4.64
2025	21	MIX2 levels	41	0	60	3.77	3.54	32.7%	11.7%	—	K 24.1% · BB 12.2% · FIP 5.25
2026	22	MIX2 levels	51	0	59	4.76	3.46	33.2%	13.1%	—	K 27.4% · BB 13.1% · FIP 4.22
2027PROJ	23	MLBLAA	2	0	2	4.51	4.51	26.3%	12.6%	0.0
2028PROJ44% MLB	24	MLBLAA	37	0	39	4.37	4.29	26.5%	11.1%	0.1
2029PROJ67% MLB	25	MLBLAA	45	0	47	4.24	4.16	26.5%	10.2%	0.2

Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff55Control40Command55

Career WAR0.0 WAR median (P10 -0.5 / P90 2.0, comp-based) · star 0% · didn't stick 89%

CompsGarrett Irvin (age 24) · Héctor Santiago (age 24) · R.C. Orlan (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 103111vR 119

ERA4.51

FIP4.51

K%26.3%

BB%12.6%

K-BB%13.7%

Proj IP90

Value2027 · WAR

Runs saved vs league avg · 90 IP

Grades · Contract

Scouting Grades

STUF5555

CTRL4040

CMD5555

K†6060

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)
2021	17	ROK MLE	ACL Angels	12	5	40	190	48	18	5	42%	3.4	17.2%	11.8%	5.3%	3.1%	4.24	4.86	—
2021	17	ROK RAW	ACL Angels	12	5	40	190	48	18	5	42%	3.4	25.3%	9.5%	15.8%	2.6%	4.24	3.67	—
2022	18	MIX MLE	2 levels	21	6	58	281	71	34	5	29%	2.7	18.0%	14.5%	3.5%	2.6%	7.02	4.86	—
2022	18	MIX RAW	2 levels	21	6	58	281	71	34	5	29%	2.7	25.3%	12.1%	13.2%	1.8%	7.02	3.53	—
2023	19	A MLE	Inland Empire 66ers	22	20	102	458	98	50	8	91%	4.6	15.8%	12.9%	3.0%	2.5%	5.38	4.78	—
2023	19	A RAW	Inland Empire 66ers	22	20	102	458	98	50	8	91%	4.6	21.4%	10.9%	10.5%	1.7%	5.38	3.67	—
2024	20	A+ MLE	Tri-City Dust Devils	28	1	53	231	54	28	4	4%	1.9	18.0%	13.9%	4.1%	2.4%	3.71	4.64	—
2024	20	A+ MLE	Tri-City Dust Devils	28	1	53	231	54	28	4	4%	1.9	18.0%	13.9%	4.1%	2.4%	3.71	4.64	—
2024	20	A+ RAW	Tri-City Dust Devils	28	1	53	231	54	28	4	4%	1.9	23.4%	12.1%	11.3%	1.7%	3.71	3.62	—
2025	21	MIX MLE	2 levels	41	0	60	257	84	30	8	0%	1.5	24.1%	12.2%	11.9%	4.8%	3.77	5.25	—
2025	21	MIX MLE	2 levels	41	0	60	257	84	30	8	0%	1.5	24.1%	12.2%	11.9%	4.8%	3.77	5.25	—
2025	21	MIX RAW	2 levels	41	0	60	257	84	30	8	0%	1.5	32.7%	11.7%	21.0%	3.1%	3.77	3.54	—
2026	22	MIX MLE	2 levels	51	0	59	259	86	34	7	0%	1.2	27.4%	13.1%	14.3%	3.2%	4.76	4.22	—
2026	22	MIX MLE	2 levels	51	0	59	259	86	34	7	0%	1.2	27.4%	13.1%	14.3%	3.2%	4.76	4.22	—
2026	22	MIX RAW	2 levels	51	0	59	259	86	34	7	0%	1.2	33.2%	13.1%	20.1%	2.7%	4.76	3.46	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	LAA	2	0	2	8	2	1	0	0%	1.0	26.3%	12.6%	13.7%	3.0%	4.51	4.51	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	LAA	86	0	90	380	101	42	11	0%	1.0	26.5%	11.1%	15.4%	3.0%	4.37	4.29	+0.3
2029	25	MLB MLE	LAA	67	0	71	299	79	30	9	0%	1.1	26.5%	10.2%	16.4%	3.0%	4.24	4.16	+0.3
2030	26	MLB MLE	LAA	66	0	69	291	77	29	9	0%	1.0	26.5%	10.0%	16.5%	3.0%	4.18	4.14	+0.3
2031	27	MLB MLE	LAA	64	0	67	282	74	28	9	0%	1.0	26.4%	10.0%	16.4%	3.0%	4.18	4.18	+0.3
2032	28	MLB MLE	LAA	60	0	63	268	70	27	8	0%	1.1	26.3%	10.2%	16.1%	3.1%	4.23	4.27	+0.2
2033	29	MLB MLE	LAA	56	0	59	248	65	26	8	0%	1.1	26.0%	10.4%	15.6%	3.3%	4.33	4.40	+0.1
2034	30	MLB MLE	LAA	51	0	53	224	58	24	8	0%	1.0	25.7%	10.7%	15.0%	3.5%	4.48	4.58	-0.0
2028	24	MLB CTX	LAA	37	0	39	165	44	18	5	0%	1.1	26.5%	11.1%	15.4%	3.0%	4.37	4.29	+0.1
2029	25	MLB CTX	LAA	45	0	47	198	53	20	6	0%	1.0	26.5%	10.2%	16.4%	3.0%	4.24	4.16	+0.2
2030	26	MLB CTX	LAA	52	0	55	232	62	23	7	0%	1.1	26.5%	10.0%	16.5%	3.0%	4.18	4.14	+0.3
2031	27	MLB CTX	LAA	54	0	57	241	63	24	7	0%	1.1	26.4%	10.0%	16.4%	3.0%	4.18	4.18	+0.2
2032	28	MLB CTX	LAA	53	0	56	236	62	24	7	0%	1.1	26.3%	10.2%	16.1%	3.1%	4.23	4.27	+0.2
2033	29	MLB CTX	LAA	50	0	53	224	58	23	7	0%	1.1	26.0%	10.4%	15.6%	3.3%	4.33	4.40	+0.1
2034	30	MLB CTX	LAA	47	0	49	207	53	22	7	0%	1.0	25.7%	10.7%	15.0%	3.5%	4.48	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		341	0	358	1510	396	156	47	0%	1.0	26.3%	10.3%	15.9%	3.1%	4.28	3.91	+2.7
/ 200 IP	—	RAW		190	0	200	844	222	87	26	0%	1.1	26.3%	10.3%	15.9%	3.1%	4.28	3.91	+1.5
Career	—	MLE		175	32	372	1676	330	220	51	18%	2.1	19.7%	13.1%	6.6%	3.1%	4.92	4.77	+1.5
/ 200 IP	—	MLE		94	17	200	902	178	118	28	18%	2.1	19.7%	13.1%	6.6%	3.1%	4.92	4.77	+0.6

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 AARocket City Trash Pandas · 41 IPFIP 3.52 → 4.66 (+1.14)K% 35.7% → 28.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.67%	—	×0.810	28.89%
BB% (unintentional) /BF	9.36%	—	×1.100	10.29%
HR / BF /BF	4.09%	÷1.000	×1.200	4.91%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. 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 3.52 → 4.66, 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).

2026 AAASalt Lake Bees · 18 IPFIP 3.29 → 3.37 (+0.08)K% 28.4% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.41%	—	×0.860	24.43%
BB% (unintentional) /BF	20.45%	—	×0.900	18.41%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 3.29 → 3.37, 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+Tri-City Dust Devils · 48 IPFIP 3.91 → 5.25 (+1.34)K% 31.2% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.25%	—	×0.770	24.06%
BB% (unintentional) /BF	10.58%	—	×1.150	12.16%
HR / BF /BF	3.85%	÷1.000	×1.250	4.81%

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 3.91 → 5.25, 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 AInland Empire 66ers · 11 IPFIP 1.89 → 3.12 (+1.22)K% 38.8% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.78%	—	×0.740	28.69%
BB% (unintentional) /BF	16.33%	—	×1.180	19.27%
HR / BF /BF	0.00%	÷1.036	×1.300	0.00%

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 107).

Result: FIP 1.89 → 3.12, 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).

2024 A+Tri-City Dust Devils · 53 IPFIP 3.61 → 4.64 (+1.03)K% 23.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.38%	—	×0.770	18.00%
BB% (unintentional) /BF	12.12%	—	×1.150	13.94%
HR / BF /BF	1.73%	÷0.916	×1.250	2.36%

Result: FIP 3.61 → 4.64, 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 AInland Empire 66ers · 102 IPFIP 3.63 → 4.78 (+1.15)K% 21.4% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.40%	—	×0.740	15.83%
BB% (unintentional) /BF	10.92%	—	×1.180	12.88%
HR / BF /BF	1.75%	÷0.897	×1.300	2.53%

Result: FIP 3.63 → 4.78, 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 AInland Empire 66ers · 28 IPFIP 3.51 → 4.65 (+1.14)K% 25.7% → 19.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.69%	—	×0.740	19.01%
BB% (unintentional) /BF	17.36%	—	×1.180	20.49%
HR / BF /BF	0.69%	÷0.889	×1.300	1.02%

Result: FIP 3.51 → 4.65, 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 ROKACL Angels · 30 IPFIP 3.44 → 5.09 (+1.65)K% 24.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.82%	—	×0.680	16.88%
BB% (unintentional) /BF	6.57%	—	×1.250	8.21%
HR / BF /BF	2.92%	÷0.943	×1.400	4.33%

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 89).

Result: FIP 3.44 → 5.09, 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
Leonard Garcia (OGILVIE)	—	—	4.51	26.3%	12.6%	3.0%	—	4.20	26.5%	16.0%	230	-0.31	—	—	—
Garrett Irvin L 2023 · 4.42 FIP	24	SU	4.42	23.2%	11.6%	3.3%	.283	4.32	17.7%	2.9%	39	-0.10	4.32	110	84
Héctor Santiago L 2012 · 4.30 FIP	24	SU	4.30	25.8%	12.7%	3.2%	.247	4.22	20.6%	11.2%	457	-0.08	4.07	1,059	83
R.C. Orlan L 2015 · 3.93 FIP	24	SU	3.93	21.0%	10.9%	2.2%	.326	4.62	17.2%	5.0%	119	+0.69	1.71	206	80
Daniel Stumpf L 2015 · 4.31 FIP	24	SU	4.31	20.8%	11.5%	2.8%	.268	3.54	22.5%	15.3%	123	-0.77	1.84	238	79
Wesley Moore L 2023 · 3.62 FIP	23	SU	3.62	25.9%	13.2%	1.9%	.254	4.18	18.3%	5.6%	58	+0.56	3.62	111	79
Shane McCain L 2015 · 4.34 FIP	23	SU	4.34	19.8%	9.7%	3.0%	.324	4.75	16.6%	10.0%	125	+0.41	4.34	201	79
Jimmy Burnette L 2022 · 3.59 FIP	23	SU	3.59	29.8%	15.2%	2.0%	.297	3.82	22.1%	6.7%	101	+0.23	3.00	158	78
Trey Cumbie L 2019 · 3.44 FIP	23	SU	3.44	22.5%	12.6%	1.2%	.318	4.78	24.4%	8.7%	91	+1.34	3.44	152	78
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	78
Brian Marconi L 2021 · 3.89 FIP	24	SU	3.89	25.3%	12.3%	2.5%	.265	5.02	20.3%	2.1%	57	+1.13	3.89	101	78
Andrew Walling L 2023 · 4.20 FIP	23	SU	4.20	23.7%	14.8%	2.2%	.272	3.89	22.1%	8.8%	105	-0.31	3.14	161	78
Robert Garcia L 2019 · 4.35 FIP	23	SU	4.35	24.0%	11.4%	3.3%	.342	4.38	22.0%	10.4%	106	+0.03	2.21	471	77
Chazz Martinez L 2023 · 3.76 FIP	23	SU	3.76	22.2%	12.7%	1.7%	.361	3.40	20.8%	7.9%	135	-0.36	3.06	199	77
Michael Johnson L 2015 · 3.92 FIP	24	SU	3.92	20.6%	9.4%	2.5%	.260	4.70	17.6%	7.7%	185	+0.78	3.92	256	77
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	77
Fred Schlichtholz L 2019 · 4.23 FIP	23	SU	4.23	22.5%	12.8%	2.6%	.368	4.13	18.5%	8.4%	80	-0.10	3.49	175	77
Michael Theofanopoulos L 2016 · 3.70 FIP	23	SU	3.70	23.0%	14.0%	1.4%	.252	3.60	21.0%	11.2%	67	-0.10	3.59	201	76
Harry Gustin L 2024 · 3.91 FIP	22	SU	3.91	20.7%	11.0%	2.1%	.331	4.33	22.9%	12.7%	109	+0.42	3.70	152	76
Jakob Hernandez L 2019 · 3.47 FIP	23	SU	3.47	21.7%	10.9%	1.5%	.232	3.96	27.9%	18.6%	102	+0.49	2.99	266	76
Josh Simpson L 2021 · 4.57 FIP	23	SW	4.57	23.5%	11.5%	3.6%	.290	3.26	33.2%	19.8%	102	-1.31	2.95	256	75

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	2.8	70	26.3%	10.7%	1.19	4.32
Tim Stoddard ('75-'89, 4 WAR*)	3.6	66	26.2%*	11.2%*	1.14*	4.24*
Jeff Parrett ('86-'96, 6 WAR*)	3.6	72	24.8%*	11.0%*	1.02*	4.07*
Doug Bair ('76-'90, 7 WAR*)	4.5	76	25.2%*	10.4%*	1.22*	4.12*
Tony Cingrani ('18)	1.7	56	25.8%	11.3%	1.26	4.01
Hansel Robles ('22)	2.1	61	25.3%	10.2%	1.20	4.11
Brandon Workman ('21)	1.6	55	24.3%	11.1%	1.04	4.02