Liam Simon

P Eugene Emeralds

Age 26 RHP 6'4" / 251 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	ROKSF	11	6	10	12.19	6.78	25.8%	30.6%	—	K 17.5% · BB 38.3% · FIP 7.52
2025	24	MIX2 levels	30	0	28	10.41	5.45	21.7%	26.6%	—	K 15.4% · BB 31.2% · FIP 6.25
2026	25	A+SF	37	0	47	5.51	4.41	29.3%	17.2%	—	K 22.6% · BB 19.8% · FIP 5.48
2027PROJ	26	MLBSF	—	—	0	5.74	5.74	22.4%	20.0%	—
2028PROJ37% MLB	27	MLBSF	15	0	16	5.62	5.63	22.4%	19.0%	-0.2
2029PROJ59% MLB	28	MLBSF	20	0	21	5.58	5.62	22.4%	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.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsZane Russell (age 24) · Fernando Baez (age 25) · Haden Erbe (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 142134vR 126

ERA5.74

FIP5.74

K%22.4%

BB%20.0%

K-BB%2.4%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

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)
2022	21	MIX MLE	2 levels	6	2	11	47	12	6	0	33%	1.9	25.5%	12.8%	12.8%	0.0%	2.38	2.56	—
2022	21	MIX RAW	2 levels	6	2	11	47	12	6	0	33%	1.9	25.5%	12.8%	12.8%	0.0%	2.38	2.57	—
2023	22	A MLE	San Jose Giants	6	2	21	89	32	9	1	33%	3.5	26.6%	11.9%	14.7%	1.6%	3.86	3.27	—
2023	22	A RAW	San Jose Giants	6	2	21	89	32	9	1	33%	3.5	36.0%	10.1%	25.8%	1.1%	3.86	1.96	—
2024	23	ROK MLE	ACL Giants	11	6	10	62	16	19	1	55%	0.9	17.5%	38.3%	-20.8%	1.9%	12.19	7.52	—
2024	23	ROK MLE	ACL Giants	11	6	10	62	16	19	1	55%	0.9	17.5%	38.3%	-20.8%	1.9%	12.19	7.52	—
2024	23	ROK RAW	ACL Giants	11	6	10	62	16	19	1	55%	0.9	25.8%	30.6%	-4.8%	1.6%	12.19	6.78	—
2025	24	MIX MLE	2 levels	30	0	28	143	31	38	1	0%	0.9	15.4%	31.2%	-15.8%	0.9%	10.41	6.25	—
2025	24	MIX MLE	2 levels	30	0	28	143	31	38	1	0%	0.9	15.4%	31.2%	-15.8%	0.9%	10.41	6.25	—
2025	24	MIX RAW	2 levels	30	0	28	143	31	38	1	0%	0.9	21.7%	26.6%	-4.9%	0.7%	10.41	5.45	—
2026	25	A+ MLE	Eugene Emeralds	37	0	47	232	68	40	6	0%	1.3	22.6%	19.8%	2.7%	3.2%	5.51	5.48	—
2026	25	A+ MLE	Eugene Emeralds	37	0	47	232	68	40	6	0%	1.3	22.6%	19.8%	2.7%	3.2%	5.51	5.48	—
2026	25	A+ RAW	Eugene Emeralds	37	0	47	232	68	40	6	0%	1.3	29.3%	17.2%	12.1%	2.6%	5.51	4.41	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SF	—	—	0	—	—	—	—	—	—	22.4%	20.0%	2.4%	2.9%	5.74	5.74	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SF	40	0	42	179	40	34	5	0%	1.1	22.4%	19.0%	3.5%	3.0%	5.62	5.63	-0.5
2029	28	MLB MLE	SF	34	0	36	150	34	28	5	0%	1.0	22.4%	18.4%	4.0%	3.1%	5.58	5.62	-0.4
2028	27	MLB CTX	SF	15	0	16	68	15	13	2	0%	1.1	22.4%	19.0%	3.5%	3.0%	5.62	5.63	-0.2
2029	28	MLB CTX	SF	20	0	21	89	20	16	3	0%	1.1	22.4%	18.4%	4.0%	3.1%	5.58	5.62	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		35	0	37	154	35	29	5	0%	1.0	22.4%	18.7%	3.8%	3.0%	5.60	5.24	-0.3
/ 200 IP	—	RAW		190	0	200	844	192	159	27	0%	1.1	22.4%	18.7%	3.8%	3.0%	5.60	5.24	-1.6
Career	—	MLE		90	10	118	573	121	131	11	11%	1.3	21.1%	22.9%	-1.8%	2.0%	6.65	5.31	-1.0
/ 200 IP	—	MLE		153	17	200	974	206	223	19	11%	1.3	21.1%	22.9%	-1.8%	2.0%	6.65	5.31	-2.5

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 A+Eugene Emeralds · 47 IPFIP 4.23 → 5.48 (+1.25)K% 29.3% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.31%	—	×0.770	22.57%
BB% (unintentional) /BF	17.24%	—	×1.150	19.83%
HR / BF /BF	2.59%	÷1.000	×1.250	3.23%

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 4.23 → 5.48, 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+Eugene Emeralds · 27 IPFIP 5.24 → 6.25 (+1.01)K% 20.0% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.770	15.40%
BB% (unintentional) /BF	27.14%	—	×1.150	31.21%
HR / BF /BF	0.71%	÷0.980	×1.250	0.91%

Result: FIP 5.24 → 6.25, 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).

2024 ROKACL Giants · 10 IPFIP 5.69 → 7.52 (+1.84)K% 25.8% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.81%	—	×0.680	17.55%
BB% (unintentional) /BF	30.65%	—	×1.250	38.31%
HR / BF /BF	1.61%	÷1.178	×1.400	1.92%

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 136).

Result: FIP 5.69 → 7.52, 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 ASan Jose Giants · 21 IPFIP 1.96 → 3.27 (+1.30)K% 36.0% → 26.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.96%	—	×0.740	26.61%
BB% (unintentional) /BF	10.11%	—	×1.180	11.93%
HR / BF /BF	1.12%	÷0.890	×1.300	1.64%

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 78).

Result: FIP 1.96 → 3.27, 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).

2022 ROKACL Giants Black · 7 IPFIP 1.85 → 2.78 (+0.94)K% 25.9% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.93%	—	×0.680	17.63%
BB% (unintentional) /BF	7.41%	—	×1.250	9.26%
HR / BF /BF	0.00%	÷1.073	×1.400	0.00%

Result: FIP 1.85 → 2.78, 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 ASan Jose Giants · 4 IPFIP 3.52 → 4.53 (+1.00)K% 25.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.740	18.50%
BB% (unintentional) /BF	20.00%	—	×1.180	23.60%
HR / BF /BF	0.00%	÷1.063	×1.300	0.00%

Result: FIP 3.52 → 4.53, 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).

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
Liam Simon (OGILVIE)	—	—	—	—	—	2.9%	—	5.63	22.4%	3.7%	78	-0.11	—	—	—
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	85
Fernando Baez R 2017 · 5.37 FIP	25	SU	5.37	24.3%	21.2%	3.0%	.271	—	—	—	—	—	3.45	129	84
Haden Erbe R 2024 · 5.28 FIP	25	SU	5.28	18.4%	16.5%	3.0%	.320	5.19	17.8%	0.5%	40	-0.09	5.19	116	83
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	82
Mitchell Stumpo R 2022 · 4.55 FIP	26	SU	4.55	24.0%	16.8%	2.4%	.225	5.67	21.5%	6.6%	78	+1.12	3.97	158	82
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	81
Kyle Wilcox R 2019 · 5.16 FIP	25	SU	5.16	25.1%	21.2%	2.7%	.310	5.57	25.1%	-1.5%	13	+0.41	2.78	310	81
Jake Gilbert R 2022 · 4.65 FIP	25	SU	4.65	18.2%	16.2%	1.9%	.331	—	—	—	—	—	4.14	103	81
Christopher Troye R 2024 · 5.46 FIP	25	SU	5.46	24.2%	17.0%	4.1%	.282	5.61	19.1%	-3.8%	30	+0.15	3.42	158	80
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	80
Manuel Alvarez R 2022 · 5.02 FIP	26	SU	5.02	20.3%	17.1%	2.7%	.330	6.63	11.8%	-14.8%	12	+1.61	4.58	154	80
Ryan Sublette R 2024 · 5.72 FIP	25	SU	5.72	19.9%	17.5%	3.8%	.214	4.47	18.6%	5.0%	53	-1.25	3.74	203	80
Juan Paniagua R 2016 · 4.57 FIP	26	SU	4.57	17.7%	14.7%	2.0%	.246	4.75	12.9%	-1.0%	29	+0.18	4.57	151	79
CJ Weins R 2024 · 4.55 FIP	23	SU	4.55	24.7%	15.9%	2.8%	.276	5.77	16.2%	-4.4%	76	+1.22	4.55	117	79
Matt Lollis R 2016 · 4.95 FIP	25	SU	4.95	19.2%	14.5%	3.0%	.221	—	—	—	—	—	4.56	120	79
Dusty Isaacs R 2018 · 5.26 FIP	26	SU	5.26	19.3%	14.1%	3.7%	.287	3.16	26.8%	20.6%	26	-2.10	3.16	253	79
Evan Johnson R 2022 · 4.64 FIP	25	SU	4.64	23.6%	17.6%	2.4%	.284	—	—	—	—	—	4.42	103	78
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	78
Antonio Knowles R 2024 · 4.58 FIP	24	SU	4.58	20.9%	15.1%	2.4%	.250	3.28	20.9%	11.7%	66	-1.30	3.24	223	78
Hobie Harris R 2019 · 4.99 FIP	26	SU	4.99	21.6%	15.9%	3.1%	.256	4.65	24.1%	11.1%	97	-0.34	3.31	476	78

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	46	22.4%	19.3%	1.16	5.66
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
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*