Logan Tanner

P Daytona Tortugas

Age 26 RHP 6'0" / 215 lbs A Svc 0.0 · Ctrl thru 2036 peak 0.1 · 2028

Overview

APROSPECTMiLBFA 2037

MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	25	MIX2 levels	13	0	21	4.35	2.76	33.7%	10.1%	—	K 21.9% · BB 8.3% · FIP 3.31
2027PROJ	26	MLBCIN	—	—	0	4.27	4.27	22.9%	8.7%	—
2028PROJ36% MLB	27	MLBCIN	7	0	7	4.43	4.44	22.9%	8.8%	0.0

Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029Ext$0.0M2030Ext$0.0M2031Ext$0.9M2032Ext$0.9M2033Ext$0.9M2034Ext$3M+2

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsKaleb Bowman (age 26) · Josh Zeid (age 26) · Jason Stoffel (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114106vR 98

ERA4.27

FIP4.27

K%22.9%

BB%8.7%

K-BB%14.2%

Proj IP10

Value2027 · WAR

Runs saved vs league avg · 10 IP

Grades · Contract

Scouting Grades

K†5555

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2026	25	MIX MLE	2 levels	13	0	21	89	30	9	2	0%	1.6	21.9%	8.3%	13.6%	1.8%	4.35	3.31	—
2026	25	MIX MLE	2 levels	13	0	21	89	30	9	2	0%	1.6	21.9%	8.3%	13.6%	1.8%	4.35	3.31	—
2026	25	MIX RAW	2 levels	13	0	21	89	30	9	2	0%	1.6	33.7%	10.1%	23.6%	2.2%	4.35	2.76	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	CIN	—	—	0	—	—	—	—	—	—	22.9%	8.7%	14.2%	3.0%	4.27	4.27	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	CIN	17	0	18	76	17	7	2	0%	1.1	22.9%	8.8%	14.1%	3.0%	4.30	4.31	+0.1
2028	27	MLB CTX	CIN	7	0	7	30	7	3	1	0%	1.0	22.9%	8.8%	14.1%	3.2%	4.43	4.44	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	7	28	6	2	1	0%	1.1	22.9%	8.8%	14.1%	3.2%	4.43	4.07	+0.0
/ 200 IP	—	RAW		190	0	200	844	182	61	30	0%	1.1	22.9%	8.8%	14.1%	3.2%	4.43	4.07	+1.1
Career	—	MLE		13	0	21	89	19	7	2	0%	1.6	21.9%	8.3%	13.6%	1.8%	4.35	3.31	+0.1
/ 200 IP	—	MLE		126	0	200	861	189	72	16	0%	1.6	21.9%	8.3%	13.6%	1.8%	4.35	3.31	+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 ADaytona Tortugas · 16 IPFIP 2.27 → 3.31 (+1.04)K% 29.6% → 21.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.58%	—	×0.740	21.89%
BB% (unintentional) /BF	7.04%	—	×1.180	8.31%
HR / BF /BF	1.41%	÷1.000	×1.300	1.83%

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 100).

Result: FIP 2.27 → 3.31, 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
Logan Tanner (OGILVIE)	—	—	4.27	22.9%	8.7%	3.0%	—	4.31	22.9%	14.1%	18	+0.04	—	—	—
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.65	17.5%	6.2%	170	+0.77	3.88	203	88
Josh Zeid R 2013 · 4.00 FIP	26	SU	4.00	20.3%	9.3%	2.6%	.287	4.75	16.2%	4.8%	183	+0.75	4.00	313	87
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	86
Kyle Winkler R 2016 · 3.70 FIP	26	SU	3.70	23.1%	8.7%	2.6%	.234	3.53	18.4%	8.3%	43	-0.17	2.97	114	85
C.C. Lee R 2014 · 3.77 FIP	27	SU	3.77	20.5%	8.7%	2.4%	.310	2.80	25.7%	17.6%	96	-0.97	2.59	149	84
Josh Lueke R 2011 · 3.24 FIP	26	SU	3.24	20.4%	8.5%	1.4%	.323	4.75	18.7%	12.4%	52	+1.51	2.29	191	84
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	84
Jon Leicester R 2004 · 4.69 FIP	25	SU	4.69	20.0%	8.6%	4.0%	.280	4.44	11.0%	2.0%	32	-0.25	3.76	113	84
Scott Dohmann R 2004 · 4.44 FIP	26	SU	4.44	24.7%	9.6%	4.0%	.270	4.80	20.6%	8.5%	112	+0.36	4.28	173	83
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	83
Santiago Casilla R 2007 · 3.58 FIP	27	SU	3.58	23.7%	7.8%	2.7%	.257	3.60	19.8%	10.7%	154	+0.02	2.76	647	83
Tom Wilhelmsen R 2011 · 3.28 FIP	27	SU	3.28	22.1%	9.6%	1.5%	.253	3.18	22.9%	13.4%	218	-0.10	2.72	398	83
Josh Roenicke R 2009 · 3.25 FIP	26	SU	3.25	23.9%	10.9%	1.5%	.341	4.17	15.4%	4.7%	124	+0.92	3.25	500	83
Jack Hartman R 2024 · 4.34 FIP	26	SU	4.34	20.9%	8.8%	3.4%	.310	4.29	17.6%	5.6%	46	-0.05	3.46	161	83
Matt Pushard R 2024 · 3.87 FIP	26	SU	3.87	24.1%	8.9%	3.0%	.242	3.29	22.2%	14.0%	115	-0.58	2.84	220	82
Guillermo Moscoso R 2009 · 3.56 FIP	25	SU	3.56	18.8%	9.4%	1.6%	.311	4.33	15.8%	8.5%	178	+0.77	3.56	486	82
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	82
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	82
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	82
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.36	21.4%	10.8%	92	+0.05	3.89	168	82