Logan Tanner — OGILVIE

Logan Tanner P Daytona Tortugas

Age 25 RHP 6'0" / 215 lbs A Svc 0.0 · Ctrl thru 2035 peak 0.1 · 2027

2026 ROS PROJECTION21 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 115107vR 99

ERA4.30

FIP4.30

K%23.3%

BB%9.0%

K-BB%14.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 27 IP

Grades · Contract

Scouting Grades

K†5555

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	Ext	beyond projection horizon · no WAR estimate
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
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 industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
▸ 2026 season
YTD	25	A MLE	Daytona Tortugas	13	0	21	89	30	9	2	0%	1.6	21.9%	8.3%	13.6%	1.8%	4.35	3.31	—
YTD	25	A MLE	Daytona Tortugas	13	0	21	89	30	9	2	0%	1.6	21.9%	8.3%	13.6%	1.8%	4.35	3.31	—
▸ 2026 season — so far · projected rest · full
2026	25	ROK RAW	CIN	4	0	4	18	9	4	1	0%	1.1	50.0%	22.2%	27.8%	5.6%	2.08	4.74	—
2026	25	A RAW	CIN	9	0	16	71	21	5	1	0%	1.8	29.6%	7.0%	22.5%	1.4%	4.96	2.27	—
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	26	MLB MLE	CIN	19	0	20	85	20	8	3	0%	1.1	23.5%	9.0%	14.5%	3.0%	4.29	4.28	+0.1
2027	26	MLB CTX	CIN	9	0	9	38	9	3	1	0%	1.0	23.5%	9.0%	14.5%	3.2%	4.42	4.41	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	9	3	1	0%	1.1	23.5%	9.0%	14.5%	3.2%	4.42	4.03	+0.1
/ 200 IP	—	RAW		190	0	200	844	208	69	23	0%	1.1	23.5%	9.0%	14.5%	3.2%	4.42	4.03	+1.2
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

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)	—	—	4.30	23.3%	9.0%	3.0%	—	4.28	23.5%	14.5%	20	-0.02	—	—	—
Nolan Clenney R 2021 · 3.73 FIP	25	SU	3.73	25.5%	8.4%	3.1%	.340	4.36	22.2%	13.5%	185	+0.63	3.73	223	89
Blake Goldsberry R 2022 · 3.43 FIP	25	SU	3.43	23.6%	8.3%	2.3%	.257	5.26	23.6%	12.0%	44	+1.83	3.43	117	88
Ricardo Velez R 2023 · 4.44 FIP	24	SU	4.44	22.4%	10.9%	3.4%	.261	4.09	18.8%	8.1%	138	-0.35	3.83	166	88
Kaleb Bowman R 2023 · 3.88 FIP	26	SU	3.88	22.0%	7.5%	3.1%	.333	4.55	17.5%	6.5%	168	+0.67	3.88	202	87
Mitchell Stumpo R 2021 · 3.97 FIP	25	SU	3.97	25.6%	8.0%	3.7%	.299	5.27	22.4%	6.8%	121	+1.30	3.97	158	87
Chris Jefferson R 2022 · 3.53 FIP	25	SU	3.53	22.4%	10.2%	1.9%	.330	4.99	16.5%	3.9%	101	+1.46	3.53	140	86
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
Neil Ramírez R 2015 · 3.21 FIP	26	SU	3.21	25.0%	10.0%	1.7%	.289	4.75	28.3%	17.6%	151	+1.54	3.21	220	83
Jonathan Brand R 2023 · 3.95 FIP	23	SU	3.95	22.7%	10.8%	2.5%	.236	4.79	19.7%	9.4%	160	+0.84	3.34	198	82
Austin Smith R 2022 · 3.88 FIP	23	SU	3.88	22.7%	10.0%	2.6%	.274	5.15	16.3%	0.7%	52	+1.27	3.88	148	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
Zac Leigh R 2023 · 3.84 FIP	25	SU	3.84	28.1%	11.7%	3.0%	.282	4.58	19.9%	3.7%	131	+0.74	3.70	201	82
Jackson Hicks R 2023 · 3.90 FIP	25	SU	3.90	22.6%	10.5%	2.5%	.336	—	—	—	—	—	2.17	116	82
Trey McLoughlin R 2023 · 3.79 FIP	24	SU	3.79	23.7%	8.4%	3.0%	.295	4.59	20.8%	8.4%	121	+0.80	3.77	244	82
Danny Hrbek R 2019 · 3.98 FIP	24	SU	3.98	21.3%	7.5%	3.1%	.312	—	—	—	—	—	3.98	100	82
Matt Carasiti R 2016 · 3.68 FIP	25	SU	3.68	22.2%	7.6%	2.7%	.313	3.36	23.4%	12.8%	93	-0.32	2.80	312	81
Roman Mendez R 2015 · 4.31 FIP	25	SU	4.31	19.1%	8.1%	3.3%	.275	4.52	20.2%	10.4%	118	+0.21	4.12	230	81
Will Vest R 2019 · 3.71 FIP	24	SU	3.71	21.8%	8.5%	2.5%	.282	3.65	20.9%	11.9%	124	-0.06	2.56	448	81
Barrett Loseke R 2022 · 4.42 FIP	25	SU	4.42	21.7%	10.1%	3.4%	.311	5.31	22.6%	11.3%	22	+0.89	4.42	152	80
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	80