Tanner Kiest — OGILVIE

Tanner Kiest P Tulsa Drillers

Age 31 RHP 6'3" / 200 lbs AA

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 125117vR 108

ERA4.82

FIP4.82

K%21.0%

BB%12.1%

K-BB%8.9%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5050

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 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
▸ 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 + 2026 so far)
2015	20	ROK MLE	GCL Phillies	12	0	17	81	18	17	0	0%	1.4	15.1%	26.2%	-11.1%	0.0%	4.67	5.15	—
2015	20	ROK RAW	GCL Phillies	12	0	17	81	18	17	0	0%	1.4	22.2%	21.0%	1.2%	0.0%	4.67	3.97	—
2018	23	A MLE	Cedar Rapids Kernels	7	2	15	76	14	14	0	29%	2.1	13.6%	21.7%	-8.1%	0.0%	7.98	4.70	—
2018	23	A RAW	Cedar Rapids Kernels	7	2	15	76	14	14	0	29%	2.1	18.4%	18.4%	0.0%	0.0%	7.98	4.05	—
2023	28	MIX MLE	2 levels	26	0	40	170	53	15	2	0%	1.5	24.1%	10.4%	13.7%	1.4%	3.86	3.15	—
2023	28	MIX MLE	2 levels	26	0	40	170	53	15	2	0%	1.5	24.1%	10.4%	13.7%	1.4%	3.86	3.15	—
2023	28	MIX RAW	2 levels	26	0	40	170	53	15	2	0%	1.5	31.2%	8.8%	22.4%	1.2%	3.86	2.22	—
2024	29	AA MLE	Richmond Flying Squirrels	42	0	58	250	68	30	0	0%	1.4	22.0%	13.2%	8.8%	0.0%	2.62	2.91	—
2024	29	AA MLE	Richmond Flying Squirrels	42	0	58	250	68	30	0	0%	1.4	22.0%	13.2%	8.8%	0.0%	2.62	2.91	—
2024	29	AA RAW	Richmond Flying Squirrels	42	0	58	250	68	30	0	0%	1.4	27.2%	12.0%	15.2%	0.0%	2.62	2.31	—
2025	30	AA MLE	Tulsa Drillers	11	0	13	69	14	8	4	0%	1.2	16.4%	12.8%	3.7%	7.3%	10.66	7.32	—
2025	30	AA MLE	Tulsa Drillers	11	0	13	69	14	8	4	0%	1.2	16.4%	12.8%	3.7%	7.3%	10.66	7.32	—
2025	30	AA RAW	Tulsa Drillers	11	0	13	69	14	8	4	0%	1.2	20.3%	11.6%	8.7%	5.8%	10.66	6.89	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	31	MLB	LAD	1	0	1	4	1	1	0	0%	1.0	21.0%	12.1%	8.9%	2.9%	4.82	4.82	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	LAD	19	0	20	84	18	10	3	0%	1.1	20.8%	12.2%	8.6%	3.1%	4.91	5.00	-0.1
2027	32	MLB CTX	LAD	6	0	6	25	5	3	1	0%	1.0	20.8%	12.2%	8.6%	3.1%	4.91	5.00	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		6	0	6	26	5	3	1	0%	1.0	20.8%	12.2%	8.6%	3.1%	4.91	4.62	-0.0
/ 200 IP	—	RAW		190	0	200	844	160	96	32	0%	1.1	20.8%	12.2%	8.6%	3.1%	4.91	4.62	-0.2
Career	—	MLE		98	2	143	646	130	97	7	2%	1.5	20.1%	15.1%	5.1%	1.1%	4.48	3.94	-0.1
/ 200 IP	—	MLE		137	3	200	906	182	136	10	2%	1.5	20.1%	15.1%	5.1%	1.1%	4.48	3.94	-1.1

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
Tanner Kiest (OGILVIE)	—	—	4.82	21.0%	12.1%	2.9%	—	5.00	20.8%	8.6%	20	+0.18	—	—	—
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	89
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	80
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	80
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.92	176	79
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	79
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	78
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	77
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	76
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	76
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	75
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	74
Dustin McGowan R 2015 · 5.32 FIP	33	SU	5.32	15.0%	14.5%	3.0%	.300	4.23	20.9%	13.0%	145	-1.09	3.82	208	73
Luis Angel Daniel R 2016 · 4.56 FIP	31	SU	4.56	13.4%	8.9%	2.7%	.286	4.16	9.8%	0.3%	53	-0.40	4.16	156	73
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	73
Fredy Quintero R 2019 · 4.62 FIP	31	SU	4.62	17.2%	13.7%	2.2%	.310	—	—	—	—	—	4.29	241	73
Ryan Kelly R 2019 · 4.33 FIP	31	SU	4.33	14.7%	7.2%	2.8%	.307	—	—	—	—	—	2.49	131	73
Jeff Manship R 2016 · 4.87 FIP	31	SU	4.87	19.0%	10.6%	3.7%	.262	—	—	—	—	—	2.83	114	72
Brad Boxberger R 2019 · 4.46 FIP	31	SU	4.46	22.1%	13.9%	2.7%	.293	3.44	27.6%	18.2%	147	-1.02	3.01	363	72
Junichi Tazawa R 2017 · 4.65 FIP	31	SU	4.65	16.0%	7.6%	3.5%	.270	4.81	19.3%	9.7%	63	+0.16	2.94	227	72