Tyler Danish — OGILVIE

Tyler Danish P Albuquerque Isotopes

Age 31 RHP 6'0" / 200 lbs AAA

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 145137vR 129

ERA5.80

FIP5.77

K%10.5%

BB%12.0%

K-BB%-1.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL5555

CMD4545

K†3030

Statcast Percentiles

FB Velo

p1091.3

Whiff%

p1019.2%

p2518.5%

xwOBA vs

p100.378

SL+4.0

CH-0.5

CT-1.4

FB-5.7

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	AA MLE	Birmingham Barons	26	26	142	635	90	60	13	100%	5.5	11.5%	10.4%	1.1%	2.2%	4.50	4.67	—
2015	20	AA RAW	Birmingham Barons	26	26	142	635	90	60	13	100%	5.5	14.2%	9.4%	4.7%	2.0%	4.50	4.29	—
2016	21	MIX MLE	3 levels	22	17	106	454	68	28	3	77%	4.8	12.8%	6.4%	6.4%	0.9%	4.91	3.31	+2.1
2016	21	MIX RAW	3 levels	22	17	106	454	68	28	3	77%	4.8	15.0%	6.2%	8.8%	0.7%	4.91	2.98	+2.5
2017	22	MIX MLE	2 levels	27	26	143	657	77	53	18	96%	5.3	9.9%	7.8%	2.1%	2.7%	5.27	4.74	+0.3
2017	22	MIX RAW	2 levels	27	26	143	657	77	53	18	96%	5.3	11.7%	8.1%	3.7%	2.7%	5.27	4.77	+0.2
2018	23	MIX MLE	2 levels	40	2	78	331	58	32	8	5%	1.9	15.5%	9.8%	5.7%	1.7%	3.35	3.94	+0.6
2018	23	MIX RAW	2 levels	40	2	78	331	58	32	8	5%	1.9	17.5%	9.7%	7.9%	2.4%	3.35	4.18	+0.3
2019	24	AAA MLE	Tacoma Rainiers	6	4	16	101	10	9	9	67%	2.6	8.7%	9.4%	-0.6%	9.3%	21.26	8.68	—
2019	24	AAA RAW	Tacoma Rainiers	6	4	16	101	10	9	9	67%	2.6	9.9%	8.9%	1.0%	8.9%	21.26	11.01	—
2021	26	MIX MLE	2 levels	32	3	70	295	79	14	10	9%	2.2	22.7%	5.7%	17.0%	4.2%	3.84	4.21	—
2021	26	MIX RAW	2 levels	32	3	70	295	79	14	10	9%	2.2	26.8%	4.7%	22.0%	3.4%	3.84	3.30	—
2022	27	MIX MLE	3 levels	42	0	51	222	47	20	7	0%	1.2	18.5%	6.9%	11.6%	4.1%	4.91	4.69	-0.1
2022	27	MIX RAW	3 levels	42	0	51	222	47	20	7	0%	1.2	21.2%	9.0%	12.2%	3.2%	4.91	4.21	+0.2
2023	28	AAA MLE	Rochester Red Wings	26	0	29	131	20	15	2	0%	1.1	12.7%	10.3%	2.4%	1.6%	3.72	4.21	—
2023	28	AAA MLE	Rochester Red Wings	26	0	29	131	20	15	2	0%	1.1	12.7%	10.3%	2.4%	1.6%	3.72	4.21	—
2023	28	AAA RAW	Rochester Red Wings	26	0	29	131	20	15	2	0%	1.1	15.3%	11.5%	3.8%	1.5%	3.72	4.17	—
2024	29	AAA MLE	Albuquerque Isotopes	11	10	40	206	26	30	4	91%	3.6	10.5%	13.1%	-2.6%	1.9%	7.71	4.95	—
2024	29	AAA MLE	Albuquerque Isotopes	11	10	40	206	26	30	4	91%	3.6	10.5%	13.1%	-2.6%	1.9%	7.71	4.95	—
2024	29	AAA RAW	Albuquerque Isotopes	11	10	40	206	26	30	4	91%	3.6	12.6%	14.6%	-1.9%	1.9%	7.71	5.37	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			43	1	53	239	43	24	9	2%	1.2	18.0%	10.0%	7.9%	3.8%	5.06	5.03	-0.3
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	31	MLB	COL	5	0	5	21	2	3	1	0%	1.0	10.5%	12.0%	-1.5%	3.0%	5.80	5.77	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	COL	49	0	51	216	24	26	7	0%	1.0	11.0%	12.1%	-1.1%	3.3%	5.79	5.88	-0.7
2028	33	MLB MLE	COL	45	0	47	198	22	25	7	0%	1.0	11.1%	12.4%	-1.3%	3.5%	5.89	6.04	-0.7
2029	34	MLB MLE	COL	41	0	43	181	20	23	7	0%	1.0	10.8%	12.7%	-1.9%	3.8%	6.08	6.26	-0.8
2027	32	MLB CTX	COL	18	0	19	80	9	10	3	0%	1.1	11.0%	12.1%	-1.1%	3.3%	5.79	5.88	-0.3
2028	33	MLB CTX	COL	25	0	26	110	12	14	4	0%	1.0	11.1%	12.4%	-1.3%	3.5%	5.89	6.04	-0.4
2029	34	MLB CTX	COL	21	0	22	93	10	12	4	0%	1.0	10.8%	12.7%	-1.9%	3.8%	6.08	6.26	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		106	1	120	519	74	59	19	1%	1.1	14.2%	11.3%	2.9%	3.6%	5.54	5.33	-1.1
/ 200 IP	—	RAW		177	2	200	868	124	99	32	1%	1.1	14.2%	11.3%	2.9%	3.6%	5.54	5.33	-1.8
Career	—	MLE		232	88	676	3032	402	260	79	38%	2.9	13.3%	8.6%	4.7%	2.6%	5.10	4.49	-2.7
/ 200 IP	—	MLE		69	26	200	897	119	77	23	38%	2.9	13.3%	8.6%	4.7%	2.6%	5.10	4.49	-2.8

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
Tyler Danish (OGILVIE)	—	—	5.77	10.5%	12.0%	3.0%	—	6.05	11.0%	-1.4%	141	+0.28	—	—	—
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	76
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	73
Marco Carrillo R 2017 · 5.33 FIP	30	SW	5.33	11.1%	7.4%	4.1%	.278	6.08	9.9%	0.8%	104	+0.75	5.33	194	71
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	71
David Holman R 2019 · 5.80 FIP	29	SW	5.80	8.9%	10.7%	3.8%	.351	—	—	—	—	—	5.28	129	69
Paul Clemens R 2017 · 4.72 FIP	29	SW	4.72	14.9%	11.0%	2.7%	.264	—	—	—	—	—	4.58	247	68
Francisco Cordova R 2015 · 5.51 FIP	31	SW	5.51	6.4%	4.6%	4.3%	.261	4.59	7.1%	-0.6%	83	-0.92	4.59	115	68
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	68
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	68
Luis Mateo R 2019 · 5.55 FIP	29	SP-	5.55	8.6%	13.4%	2.7%	.303	—	—	—	—	—	3.48	160	67
Seth Simmons R 2018 · 6.20 FIP	30	SW	6.20	13.3%	10.9%	5.2%	.242	—	—	—	—	—	3.07	251	65
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	64
Lisalverto Bonilla R 2019 · 4.70 FIP	29	SP-	4.70	15.8%	12.6%	2.5%	.265	—	—	—	—	—	3.22	221	64
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	63
Casey Coleman R 2018 · 4.79 FIP	31	SP-	4.79	15.2%	7.9%	3.6%	.344	5.06	18.4%	9.4%	78	+0.27	2.95	306	62
Grant Black R 2023 · 5.54 FIP	29	SU	5.54	15.4%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	62
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	62
Scott Copeland R 2019 · 5.62 FIP	31	SP-	5.62	17.1%	12.4%	4.4%	.311	—	—	—	—	—	3.55	569	62
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	61
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	58

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.0	49	10.8%	12.3%	1.30	5.88
Eddie Butler ('18)	1.2	62	13.3%	9.8%	1.49	5.74
Dylan Covey ('23)	1.5	73	15.4%	9.9%	1.53	6.14
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Chi Chi González ('22)	1.3	64	13.3%	9.0%	1.41	5.44
Sal Romano ('21)	1.3	86	17.0%	8.8%	1.29	5.10