Zane Taylor

P Lansing Lugnuts

Age 25 RHP 6'0" / 200 lbs A+ Svc 0.0 · Ctrl thru 2033 peak 0.6 · 2028

Overview

A+PROSPECTMiLBFA 2034

OGV OFP35OGV rank#824ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	AAAOAK	1	1	2	0.00	2.10	50.0%	25.0%	—	K 50.0% · BB 25.0% · FIP 2.04
2026	24	MIX2 levels	24	21	108	3.50	3.80	21.1%	9.1%	—	K 16.5% · BB 10.3% · FIP 4.68
2027PROJ	25	MLBOAK	1	1	1	4.85	4.85	17.2%	9.4%	0.0
2028PROJ43% MLB	26	MLBOAK	8	8	45	4.71	4.68	18.5%	9.2%	0.4
2029PROJ63% MLB	27	MLBOAK	10	10	58	4.68	4.68	18.7%	9.2%	0.5

Next 3 projected WAR 0.8Projected 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$1M2032Arb-2$1M2033Ext$7M

Career WAR0.0 WAR median (P10 -0.4 / P90 1.3, comp-based) · star 1% · didn't stick 95%

CompsMike Wright Jr. (age 25) · Rorik Maltrud (age 24) · Chase Solesky (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.85

FIP4.85

K%17.2%

BB%9.4%

K-BB%7.8%

Proj IP128

Value2027 · WAR

Runs saved vs league avg · 128 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit+$12M 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	+0.4	$1M	+$0.8M
2029	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2030	Pre-Arb	$0.8M	+0.5	$2M	+$1.0M
2031	Arb-1	$1M	+0.4	$1M	+$0.5M
2032	Arb-2	$1M	+0.2	$0.5M	+$0.0M (cut)
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$7M	+$3M

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	23	AAA MLE	Las Vegas Aviators	1	1	2	8	4	2	0	100%	2.0	50.0%	25.0%	25.0%	0.0%	0.00	2.04	—
2025	23	AAA MLE	Las Vegas Aviators	1	1	2	8	4	2	0	100%	2.0	50.0%	25.0%	25.0%	0.0%	0.00	2.04	—
2025	23	AAA RAW	Las Vegas Aviators	1	1	2	8	4	2	0	100%	2.0	50.0%	25.0%	25.0%	0.0%	0.00	2.10	—
2026	24	MIX MLE	2 levels	24	21	108	451	95	41	11	88%	4.5	16.5%	10.3%	6.2%	3.0%	3.50	4.68	—
2026	24	MIX MLE	2 levels	24	21	108	451	95	41	11	88%	4.5	16.5%	10.3%	6.2%	3.0%	3.50	4.68	—
2026	24	MIX RAW	2 levels	24	21	108	451	95	41	11	88%	4.5	21.1%	9.1%	12.0%	2.4%	3.50	3.80	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	OAK	1	1	1	4	1	0	0	100%	1.0	17.2%	9.4%	7.8%	3.0%	4.85	4.85	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	OAK	17	17	104	437	81	40	13	100%	6.1	18.5%	9.2%	9.3%	3.0%	4.75	4.72	+0.8
2029	27	MLB MLE	OAK	15	15	92	390	73	36	12	100%	6.2	18.7%	9.2%	9.6%	3.0%	4.72	4.72	+0.7
2030	28	MLB MLE	OAK	14	14	86	362	68	33	11	100%	6.1	18.8%	9.2%	9.5%	3.1%	4.75	4.78	+0.6
2031	29	MLB MLE	OAK	13	13	79	334	62	31	11	100%	6.1	18.6%	9.4%	9.2%	3.3%	4.83	4.90	+0.5
2032	30	MLB MLE	OAK	12	12	71	301	55	29	10	100%	5.9	18.3%	9.7%	8.5%	3.5%	4.98	5.08	+0.3
2028	26	MLB CTX	OAK	8	8	45	190	35	17	6	100%	5.6	18.5%	9.2%	9.3%	2.9%	4.71	4.68	+0.4
2029	27	MLB CTX	OAK	10	10	58	245	46	22	7	100%	5.8	18.7%	9.2%	9.6%	3.0%	4.68	4.68	+0.5
2030	28	MLB CTX	OAK	11	11	64	270	51	25	8	100%	5.8	18.8%	9.2%	9.5%	3.0%	4.71	4.74	+0.5
2031	29	MLB CTX	OAK	11	11	64	270	50	25	9	100%	5.8	18.6%	9.4%	9.2%	3.2%	4.79	4.86	+0.4
2032	30	MLB CTX	OAK	10	10	61	258	47	25	9	100%	6.1	18.3%	9.7%	8.5%	3.4%	4.93	5.03	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		49	49	293	1235	230	116	38	100%	6.0	18.6%	9.4%	9.2%	3.1%	4.77	4.42	+3.3
/ 200 IP	—	RAW		33	33	200	844	157	79	26	100%	6.0	18.6%	9.4%	9.2%	3.1%	4.77	4.42	+2.3
Career	—	MLE		25	22	110	459	78	48	14	88%	4.4	17.1%	10.6%	6.5%	3.0%	3.44	4.63	+2.9
/ 200 IP	—	MLE		45	40	200	835	142	88	25	88%	4.4	17.1%	10.6%	6.5%	3.0%	3.44	4.63	+1.3

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.

2026 A+Lansing Lugnuts · 81 IPFIP 3.95 → 4.87 (+0.92)K% 20.1% → 15.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.06%	—	×0.770	15.45%
BB% (unintentional) /BF	8.38%	—	×1.150	9.64%
HR / BF /BF	2.69%	÷1.000	×1.250	3.37%

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 3.95 → 4.87, 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 AAMidland RockHounds · 27 IPFIP 3.42 → 4.14 (+0.71)K% 23.9% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.93%	—	×0.810	19.38%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	1.71%	÷1.000	×1.200	2.05%

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 3.42 → 4.14, 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
Zane Taylor (OGILVIE)	—	—	—	—	—	3.0%	—	4.74	18.7%	9.5%	282	-0.11	—	—	—
Mike Wright Jr. R 2015 · 4.07 FIP	25	SP	4.07	15.7%	7.9%	2.3%	.260	4.25	17.2%	9.8%	343	+0.18	3.76	725	87
Rorik Maltrud R 2024 · 3.91 FIP	24	SP-	3.91	20.4%	9.6%	2.4%	.300	4.40	18.6%	9.4%	193	+0.49	3.91	298	86
Chase Solesky R 2023 · 4.77 FIP	25	SP	4.77	14.9%	10.0%	3.0%	.322	4.43	16.0%	8.7%	271	-0.34	4.07	567	85
Tyler Cravy R 2015 · 3.94 FIP	26	SP-	3.94	17.0%	9.0%	2.1%	.305	4.61	18.6%	7.8%	138	+0.67	3.94	276	85
Enrique Gonzalez R 2006 · 4.49 FIP	24	SP-	4.49	14.3%	7.4%	3.0%	.287	—	—	—	—	—	4.49	132	85
Nestor Molina R 2016 · 4.83 FIP	27	SP	4.83	15.0%	8.0%	3.6%	.304	3.61	17.0%	10.2%	289	-1.22	3.01	401	85
Brooks Hall R 2015 · 4.12 FIP	25	SP-	4.12	14.3%	6.9%	2.5%	.291	4.00	14.0%	7.0%	153	-0.12	3.45	274	84
D.J. Brown R 2016 · 4.43 FIP	25	SP-	4.43	16.7%	8.1%	3.1%	.317	4.49	16.3%	9.3%	74	+0.06	4.02	348	84
Jared Mortensen R 2015 · 4.42 FIP	27	SP-	4.42	16.9%	7.8%	3.2%	.287	4.99	20.9%	2.1%	72	+0.57	4.42	200	84
Chandler Champlain R 2024 · 4.72 FIP	25	SP	4.72	16.7%	8.1%	3.6%	.298	4.77	15.3%	8.7%	247	+0.05	4.56	628	84
Nic Swanson R 2024 · 4.91 FIP	25	SP	4.91	19.3%	11.8%	3.5%	.286	5.43	19.9%	6.5%	132	+0.52	4.29	438	83
Josh Bostick R 2024 · 4.65 FIP	22	SP	4.65	19.3%	11.2%	3.2%	.304	5.40	21.7%	12.6%	119	+0.75	4.65	226	83
Forrest Snow R 2015 · 5.03 FIP	26	SP-	5.03	16.1%	8.2%	4.1%	.263	4.14	21.8%	14.2%	256	-0.89	3.02	406	83
Blayne Weller R 2015 · 4.15 FIP	25	SP	4.15	16.0%	9.7%	2.1%	.326	5.65	17.6%	8.4%	103	+1.50	4.15	254	82
Claudio Vargas R 2003 · 4.75 FIP	25	SP	4.75	12.6%	7.3%	3.2%	.251	5.02	16.5%	8.5%	418	+0.27	3.66	765	82
Carlos Pimentel R 2015 · 4.43 FIP	25	SP	4.43	17.1%	11.6%	2.4%	.266	4.32	15.8%	5.8%	158	-0.11	4.30	301	82
Ty Cummings R 2024 · 4.34 FIP	22	SP	4.34	19.0%	10.5%	2.8%	.329	5.36	14.4%	6.0%	178	+1.02	4.34	295	82
Ian Mejia R 2024 · 4.22 FIP	24	SP	4.22	18.7%	11.6%	2.2%	.288	5.06	16.0%	6.6%	194	+0.84	3.94	439	82
Nolan McLean R 2024 · 4.40 FIP	23	SP	4.40	20.0%	10.1%	3.1%	.292	3.26	25.6%	16.0%	341	-1.14	3.17	451	82
Kyle Lloyd R 2016 · 3.98 FIP	25	SP-	3.98	14.9%	7.6%	2.1%	.292	4.06	18.3%	9.7%	304	+0.08	3.50	572	81

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	93	18.3%	9.3%	1.20	4.81
John Montague ('73-'80, -2 WAR*)	2.7	91	17.0%*	9.3%*	1.23*	4.98*
Adam Conley ('21)	2.2	87	19.8%	9.4%	1.16	4.71
Rich Folkers ('70-'77, -0 WAR*)	2.1	85	19.1%*	8.8%*	1.35*	4.91*
Scott Sanders ('99)	3.4	97	21.2%	9.3%	1.23	4.86
Ross Ohlendorf ('16)	2.9	84	17.2%	8.6%	1.38	4.82
Marvin Freeman ('86-'96, 5 WAR*)	3.0	74	17.7%*	9.6%*	1.19*	4.33*