Wei-En Lin

P Midland RockHounds

Age 21 LHP 6'2" / 179 lbs AA Svc 0.0 · Ctrl thru 2033 peak 1.7 · 2031

Overview

AAPROSPECTMiLBFA 2034

OGV OFP45OGV rank#82ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	19	MIX3 levels	26	13	87	3.72	2.51	33.4%	6.3%	—	K 25.4% · BB 6.5% · FIP 3.46
2026	20	MIX2 levels	12	12	53	3.23	2.52	25.2%	7.9%	—	K 21.6% · BB 7.2% · FIP 2.85
2027PROJ	21	MLBOAK	1	1	1	3.76	3.76	23.6%	6.4%	0.0
2028PROJ50% MLB	22	MLBOAK	7	7	36	3.68	3.62	24.5%	6.3%	0.8
2029PROJ73% MLB	23	MLBOAK	10	10	56	3.61	3.53	25.1%	6.1%	1.2

Next 3 projected WAR 2.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$4M2032Arb-2$6M2033Arb-3$9M

Career WAR1.0 WAR median (P10 -0.7 / P90 20, comp-based) · star 4% · didn't stick 62%

CompsNick Bennett (age 21) · Moises Brito (age 21) · Ryan Williamson (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 8897vR 105

ERA3.76

FIP3.76

K%23.6%

BB%6.4%

K-BB%17.2%

Proj IP43

Value2027 · WAR

Runs saved vs league avg · 43 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$46M ctrl surplus

Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2029	Pre-Arb	$0.8M	+1.2	$8M	+$8M
2030	Pre-Arb	$0.8M	+1.5	$10M	+$9M
2031	Arb-1	$4M	+1.6	$9M	+$7M
2032	Arb-2	$6M	+1.7	$9M	+$6M
2033	Arb-3	$9M	+1.6	$8M	+$3M
Totals		$22M		$48M	+$35M

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)
2025	19	MIX MLE	3 levels	26	13	87	350	117	22	9	50%	3.3	25.4%	6.5%	18.9%	3.1%	3.72	3.46	—
2025	19	MIX MLE	3 levels	26	13	87	350	117	22	9	50%	3.3	25.4%	6.5%	18.9%	3.1%	3.72	3.46	—
2025	19	MIX RAW	3 levels	26	13	87	350	117	22	9	50%	3.3	33.4%	6.3%	27.1%	2.6%	3.72	2.51	—
2026	20	MIX MLE	2 levels	12	12	53	214	54	17	2	100%	4.4	21.6%	7.2%	14.4%	1.2%	3.23	2.85	—
2026	20	MIX MLE	2 levels	12	12	53	214	54	17	2	100%	4.4	21.6%	7.2%	14.4%	1.2%	3.23	2.85	—
2026	20	MIX RAW	2 levels	12	12	53	214	54	17	2	100%	4.4	25.2%	7.9%	17.3%	0.9%	3.23	2.52	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	OAK	1	1	1	4	1	0	0	100%	1.0	23.6%	6.4%	17.2%	2.7%	3.76	3.76	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	OAK	14	14	73	307	75	19	8	100%	5.2	24.5%	6.3%	18.3%	2.6%	3.72	3.66	+1.5
2029	23	MLB MLE	OAK	14	14	76	321	81	20	8	100%	5.4	25.1%	6.1%	19.0%	2.6%	3.65	3.57	+1.7
2030	24	MLB MLE	OAK	14	14	77	325	83	19	8	100%	5.5	25.5%	5.9%	19.6%	2.6%	3.58	3.52	+1.8
2031	25	MLB MLE	OAK	13	13	76	321	83	19	8	100%	5.9	25.8%	5.9%	20.0%	2.6%	3.52	3.48	+1.8
2032	26	MLB MLE	OAK	13	13	77	325	84	19	8	100%	5.9	26.0%	5.8%	20.2%	2.6%	3.48	3.45	+1.8
2033	27	MLB MLE	OAK	13	13	76	319	83	19	8	100%	5.8	26.0%	5.9%	20.1%	2.7%	3.49	3.49	+1.8
2034	28	MLB MLE	OAK	12	12	72	306	79	18	8	100%	6.0	25.9%	6.0%	19.8%	2.8%	3.54	3.58	+1.6
2035	29	MLB MLE	OAK	11	11	68	286	73	18	8	100%	6.2	25.6%	6.2%	19.4%	2.9%	3.64	3.71	+1.4
2036	30	MLB MLE	OAK	11	11	68	286	78	16	9	100%	6.2	27.3%	5.8%	21.5%	3.1%	3.62	3.61	+1.5
2037	31	MLB MLE	OAK	10	10	61	256	69	16	9	100%	6.1	26.9%	6.1%	20.8%	3.3%	3.74	3.81	+1.2
2038	32	MLB MLE	OAK	9	9	53	223	59	14	8	100%	5.9	26.4%	6.5%	19.9%	3.6%	3.92	4.04	+0.9
2039	33	MLB MLE	OAK	7	7	45	189	49	13	7	100%	6.4	25.9%	7.0%	19.0%	3.9%	4.14	4.29	+0.6
2028	22	MLB CTX	OAK	7	7	36	152	37	10	4	100%	5.1	24.5%	6.3%	18.3%	2.6%	3.68	3.62	+0.8
2029	23	MLB CTX	OAK	10	10	56	236	59	14	6	100%	5.6	25.1%	6.1%	19.0%	2.6%	3.61	3.53	+1.2
2030	24	MLB CTX	OAK	11	11	64	270	69	16	7	100%	5.8	25.5%	5.9%	19.6%	2.6%	3.54	3.48	+1.5
2031	25	MLB CTX	OAK	11	11	67	283	73	17	7	100%	6.1	25.8%	5.9%	20.0%	2.5%	3.48	3.44	+1.6
2032	26	MLB CTX	OAK	12	12	70	296	77	17	8	100%	5.8	26.0%	5.8%	20.2%	2.5%	3.44	3.41	+1.7
2033	27	MLB CTX	OAK	12	12	70	296	77	17	8	100%	5.8	26.0%	5.9%	20.1%	2.6%	3.45	3.45	+1.6
2034	28	MLB CTX	OAK	11	11	68	287	74	17	8	100%	6.2	25.9%	6.0%	19.8%	2.7%	3.50	3.54	+1.5
2035	29	MLB CTX	OAK	11	11	64	270	69	17	8	100%	5.8	25.6%	6.2%	19.4%	2.8%	3.60	3.67	+1.3
2036	30	MLB CTX	OAK	11	11	64	270	74	16	8	100%	5.8	27.3%	5.8%	21.5%	3.0%	3.58	3.57	+1.4
2037	31	MLB CTX	OAK	10	10	58	245	66	15	8	100%	5.8	26.9%	6.1%	20.8%	3.3%	3.69	3.76	+1.1
2038	32	MLB CTX	OAK	8	8	50	211	56	14	7	100%	6.2	26.4%	6.5%	19.9%	3.5%	3.87	3.99	+0.8
2039	33	MLB CTX	OAK	7	7	42	177	46	12	7	100%	6.0	25.9%	7.0%	19.0%	3.8%	4.09	4.24	+0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		121	121	711	3000	779	182	85	100%	5.9	26.0%	6.1%	19.9%	2.8%	3.60	3.23	+19.1
/ 200 IP	—	RAW		34	34	200	844	219	51	24	100%	5.9	26.0%	6.1%	19.9%	2.8%	3.60	3.23	+5.4
Career	—	MLE		38	25	140	564	135	38	13	66%	3.7	24.0%	6.8%	17.2%	2.4%	3.54	3.23	+17.3
/ 200 IP	—	MLE		54	36	200	806	193	54	19	66%	3.7	24.0%	6.8%	17.2%	2.4%	3.54	3.23	+4.2

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 AAMidland RockHounds · 51 IPFIP 2.23 → 2.85 (+0.62)K% 26.6% → 21.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.63%	—	×0.810	21.57%
BB% (unintentional) /BF	6.53%	—	×1.100	7.19%
HR / BF /BF	1.01%	÷1.000	×1.200	1.21%

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 2.23 → 2.85, 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 AStockton Ports · 50 IPFIP 1.96 → 3.00 (+1.04)K% 34.0% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.99%	—	×0.740	25.15%
BB% (unintentional) /BF	2.96%	—	×1.180	3.49%
HR / BF /BF	2.46%	÷1.113	×1.300	2.88%

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 123).

Result: FIP 1.96 → 3.00, 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+Lansing Lugnuts · 30 IPFIP 2.92 → 4.26 (+1.34)K% 33.6% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.61%	—	×0.770	25.88%
BB% (unintentional) /BF	10.08%	—	×1.150	11.60%
HR / BF /BF	2.52%	÷0.921	×1.250	3.42%

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 84).

Result: FIP 2.92 → 4.26, 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 AAMidland RockHounds · 7 IPFIP 4.46 → 5.39 (+0.94)K% 28.6% → 23.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.810	23.14%
BB% (unintentional) /BF	14.29%	—	×1.100	15.71%
HR / BF /BF	3.57%	÷1.043	×1.200	4.11%

Result: FIP 4.46 → 5.39, 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
Wei-En Lin (OGILVIE)	—	—	—	—	—	2.7%	—	3.58	25.1%	19.0%	226	-0.18	—	—	—
Nick Bennett L 2019 · 2.85 FIP	21	SP-	2.85	21.7%	5.8%	1.6%	.264	5.13	19.3%	9.8%	227	+2.28	2.85	346	85
Moises Brito L 2023 · 3.16 FIP	21	SP	3.16	22.9%	8.7%	1.6%	.250	7.76	18.0%	-2.5%	21	+4.60	2.53	106	78
Ryan Williamson L 2018 · 4.10 FIP	23	SP-	4.10	18.4%	5.9%	3.3%	.286	5.57	18.4%	5.8%	102	+1.47	4.10	123	77
Marcelo Martinez L 2018 · 3.29 FIP	21	SP	3.29	22.0%	6.5%	2.2%	.303	5.47	18.6%	10.2%	234	+2.18	3.29	427	77
Yereny Teus L 2024 · 3.57 FIP	20	SP	3.57	23.3%	10.3%	2.1%	.276	3.33	24.6%	10.0%	88	-0.24	2.63	185	76
Isaiah Coupet L 2024 · 3.52 FIP	21	SP-	3.52	23.4%	8.5%	2.4%	.363	6.24	10.4%	-6.7%	16	+2.72	3.52	102	76
Adam Seminaris L 2021 · 3.94 FIP	22	SP	3.94	22.7%	8.3%	3.1%	.357	3.75	18.2%	9.3%	230	-0.19	3.00	577	76
Drew Parrish L 2021 · 3.47 FIP	23	SP-	3.47	24.1%	7.9%	2.6%	.261	5.90	16.7%	7.0%	354	+2.43	3.47	522	76
Jake Bennett L 2023 · 3.41 FIP	22	SP	3.41	21.2%	7.2%	2.2%	.339	3.29	19.3%	13.9%	222	-0.12	3.22	285	75
Jackson Stoeckinger L 2017 · 3.19 FIP	21	SP-	3.19	18.7%	7.7%	1.2%	.365	4.82	13.1%	7.3%	157	+1.63	3.19	184	74
Tommy Sommer L 2021 · 4.65 FIP	22	SP-	4.65	23.9%	9.3%	4.3%	.196	5.36	18.6%	6.1%	205	+0.71	4.28	230	74
Taylor Varnell L 2018 · 2.89 FIP	23	SP	2.89	22.5%	6.8%	1.5%	.252	3.95	19.5%	9.5%	202	+1.06	2.89	248	74
Dalton Lehnen L 2017 · 3.95 FIP	21	SP	3.95	19.8%	7.6%	2.8%	.398	4.49	15.8%	2.9%	189	+0.54	3.95	222	74
Sonny Vargas L 2021 · 4.54 FIP	20	SP-	4.54	21.0%	10.1%	3.5%	.300	—	—	—	—	—	3.20	165	74
Bryan Sammons L 2017 · 3.58 FIP	22	SP-	3.58	22.7%	10.5%	1.9%	.275	3.96	18.4%	8.4%	228	+0.38	3.58	688	74
Hunter Barco L 2024 · 3.61 FIP	23	SP	3.61	23.4%	10.0%	2.2%	.275	3.72	21.1%	10.0%	195	+0.11	3.29	257	73
John Doxakis L 2021 · 3.19 FIP	22	SP	3.19	21.0%	5.3%	2.2%	.279	4.94	18.0%	5.4%	229	+1.75	3.19	332	73
Mac Lardner L 2021 · 4.75 FIP	23	SP-	4.75	18.9%	8.5%	4.0%	.332	4.34	17.5%	8.1%	119	-0.41	3.66	186	73
Mike Minor L 2010 · 3.81 FIP	22	SP	3.81	23.2%	5.9%	3.5%	.376	3.82	21.1%	14.9%	467	+0.01	2.43	1,460	73
Brant Hurter L 2022 · 2.84 FIP	23	SP-	2.84	23.7%	5.5%	1.9%	.337	3.33	21.5%	14.6%	298	+0.49	2.84	440	73

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	4.3	66	25.8%	6.1%	1.11	3.65
Rafael Betancourt ('15)	3.4	57	26.0%	5.9%	0.93	3.36
Jake McGee ('22)	2.9	48	26.0%	6.6%	1.10	3.71
Sergio Romo ('22)	3.6	52	27.0%	6.1%	1.06	3.21
Jeff Montgomery ('87-'99, 19 WAR*)	4.3	72	26.2%*	7.6%*	1.01*	3.16*
Jeff Reardon ('79-'94, 19 WAR*)	5.7	75	25.2%*	7.5%*	1.28*	3.50*
Joe Sambito ('76-'87, 8 WAR*)	3.1	70	26.8%*	7.5%*	1.06*	3.65*