Tyler Beede

P Iowa Cubs

Age 34 RHP 6'2" / 216 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	31	MIX2 levels	25	5	36	10.16	5.27	23.0%	13.1%	-0.3	K 21.1% · BB 12.2% · FIP 5.02
2025	32	AAAMIN	7	1	9	8.00	8.88	15.2%	19.6%	—	K 15.2% · BB 19.6% · FIP 7.87
2026	33	AAACHC	13	1	23	12.71	6.41	18.6%	15.3%	—	K 16.0% · BB 13.7% · FIP 6.04
2027PROJ	34	MLBCHC	26	26	154	4.96	5.24	19.7%	12.7%	-0.6
2028PROJ6% MLB	35	MLBCHC	1	1	8	5.33	5.58	18.8%	13.2%	-0.1
2029PROJ0% MLB	36	MLBCHC	—	—	0	5.70	5.95	17.7%	13.8%	—

Last 3 seasons WAR -0.3 · Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2024

Whiff%78

K%73

FB Velo38

xwOBA vs26

CompsJarrett Grube (age 34) · Guillermo Moscoso (age 34) · Paolo Espino (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 133125vR 116

ERA4.96

FIP5.24

K%19.7%

BB%12.7%

K-BB%7.1%

Proj IP154

Value2027 · WAR

Runs saved vs league avg · 154 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF5560

CTRL4550

CMD4550

K†4545

Statcast Percentiles

FB Velo

p3893.7

Whiff%

p7829.7%

p7326.5%

xwOBA vs

p260.340

SI (8%)

CU (23%)

FB-1.7 (37%)

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 + 2027 so far)
2015	22	MIX MLE	2 levels	22	22	125	522	86	43	6	100%	5.7	13.1%	9.1%	3.9%	1.5%	3.97	4.00	—
2015	22	MIX RAW	2 levels	22	22	125	522	86	43	6	100%	5.7	16.5%	8.2%	8.2%	1.1%	3.97	3.38	—
2016	23	AA MLE	Richmond Flying Squirrels	24	24	147	612	135	53	9	100%	6.1	17.9%	9.5%	8.3%	1.8%	2.81	3.79	—
2016	23	AA RAW	Richmond Flying Squirrels	24	24	147	612	135	53	9	100%	6.1	22.1%	8.7%	13.4%	1.5%	2.81	3.14	—
2017	24	AAA MLE	Sacramento River Cats	19	19	109	478	83	39	14	100%	5.7	15.3%	8.6%	6.7%	3.6%	4.79	4.88	—
2017	24	AAA RAW	Sacramento River Cats	19	19	109	478	83	39	14	100%	5.7	17.4%	8.2%	9.2%	2.9%	4.79	4.32	—
2018	25	MIX MLE	4 levels	37	13	88	419	90	67	10	35%	2.4	18.4%	16.4%	2.0%	3.1%	6.78	5.31	-0.8
2018	25	MIX RAW	4 levels	37	13	88	419	90	67	10	35%	2.4	21.5%	16.0%	5.5%	2.4%	6.78	4.82	-0.3
2019	26	MIX MLE	2 levels	31	29	152	664	162	59	25	94%	4.9	23.5%	9.0%	14.5%	4.1%	4.45	4.49	+0.7
2019	26	MIX RAW	2 levels	31	29	152	664	162	59	25	94%	4.9	24.4%	8.9%	15.5%	3.8%	4.45	4.27	+1.1
2021	28	MIX MLE	2 levels	17	16	50	250	52	44	7	94%	2.9	18.0%	18.9%	-0.9%	3.2%	7.07	5.72	-0.5
2021	28	MIX RAW	2 levels	17	16	50	250	52	44	7	94%	2.9	20.8%	17.6%	3.2%	2.8%	7.07	5.50	-0.3
2022	29	MIX MLE	2 levels	32	6	63	291	40	27	7	19%	2.0	13.7%	9.5%	4.2%	2.7%	4.97	4.60	-0.0
2022	29	MIX RAW	2 levels	32	6	63	291	40	27	7	19%	2.0	13.7%	9.3%	4.5%	2.4%	4.97	4.55	-0.0
2024	31	MIX MLE	2 levels	25	5	36	183	42	24	7	20%	1.5	21.1%	12.2%	8.9%	3.9%	10.16	5.02	-0.2
2024	31	MIX MLE	2 levels	25	5	36	183	42	24	7	20%	1.5	21.1%	12.2%	8.9%	3.9%	10.16	5.02	-0.2
2024	31	MIX RAW	2 levels	25	5	36	183	42	24	7	20%	1.5	23.0%	13.1%	9.8%	3.8%	10.16	5.27	-0.3
2025	32	AAA MLE	St. Paul Saints	7	1	9	46	7	9	3	14%	1.3	15.2%	19.6%	-4.3%	6.5%	8.00	7.87	—
2025	32	AAA MLE	St. Paul Saints	7	1	9	46	7	9	3	14%	1.3	15.2%	19.6%	-4.3%	6.5%	8.00	7.87	—
2025	32	AAA RAW	St. Paul Saints	7	1	9	46	7	9	3	14%	1.3	15.2%	19.6%	-4.3%	6.5%	8.00	8.88	—
2026	33	AAA MLE	Iowa Cubs	13	1	23	118	22	18	5	8%	1.7	16.0%	13.7%	2.3%	4.7%	12.71	6.04	—
2026	33	AAA MLE	Iowa Cubs	13	1	23	118	22	18	5	8%	1.7	16.0%	13.7%	2.3%	4.7%	12.71	6.04	—
2026	33	AAA RAW	Iowa Cubs	13	1	23	118	22	18	5	8%	1.7	18.6%	15.3%	3.4%	4.2%	12.71	6.41	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			71	29	201	922	181	88	31	41%	2.8	19.6%	9.5%	10.1%	3.4%	5.55	4.62	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	34	MLB	CHC	26	26	154	650	128	82	22	100%	5.9	19.7%	12.7%	7.1%	3.3%	4.96	5.24	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	35	MLB MLE	CHC	23	23	138	582	109	77	21	100%	6.0	18.8%	13.2%	5.5%	3.7%	5.33	5.58	-1.0
2029	36	MLB MLE	CHC	20	20	122	515	91	71	21	100%	6.1	17.7%	13.8%	3.9%	4.0%	5.70	5.95	-1.4
2028	35	MLB CTX	CHC	1	1	8	34	6	4	1	100%	8.0	18.8%	13.2%	5.5%	3.7%	5.33	5.58	-0.1
2029	36	MLB CTX	CHC	—	—	0	—	—	—	—	—	—	17.7%	13.8%	3.9%	4.0%	5.70	5.95	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		72	30	209	954	187	92	32	42%	2.9	19.6%	9.7%	9.9%	3.4%	5.54	4.52	+0.1
/ 200 IP	—	RAW		69	29	200	915	179	88	31	42%	2.9	19.6%	9.7%	9.9%	3.4%	5.54	4.52	+0.1
Career	—	MLE		227	136	801	3583	633	398	108	60%	3.5	17.7%	11.1%	6.6%	3.0%	5.11	4.66	-1.9
/ 200 IP	—	MLE		57	34	200	894	158	99	27	60%	3.5	17.7%	11.1%	6.6%	3.0%	5.11	4.66	-0.8

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 Beede (OGILVIE)	—	—	5.24	19.7%	12.7%	3.3%	—	5.75	18.3%	4.8%	260	+0.51	—	—	—
Jarrett Grube R 2016 · 4.74 FIP	34	SP-	4.74	18.9%	7.2%	4.2%	.280	4.41	15.8%	7.7%	134	-0.33	3.75	393	64
Guillermo Moscoso R 2018 · 5.07 FIP	34	SP-	5.07	18.2%	8.4%	4.5%	.318	4.35	12.6%	5.9%	104	-0.72	3.56	486	53
Paolo Espino R 2021 · 4.32 FIP	34	SP-	4.32	20.2%	5.1%	4.2%	.277	4.81	16.6%	10.9%	260	+0.49	3.42	933	53
Zach Neal R 2023 · 5.98 FIP	34	SW	5.98	15.6%	6.0%	6.3%	.291	—	—	—	—	—	4.24	732	52
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	51
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	50
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	50
David Buchanan R 2024 · 4.26 FIP	35	SP-	4.26	14.7%	6.5%	2.9%	.337	5.56	12.2%	4.1%	29	+1.30	3.88	560	49
Manuel Flores R 2019 · 4.32 FIP	33	SP	4.32	17.1%	7.4%	3.1%	.291	—	—	—	—	—	3.46	515	49
Tim Adleman R 2022 · 5.69 FIP	34	SP-	5.69	17.5%	8.6%	5.4%	.275	—	—	—	—	—	3.63	605	48
Matt Buschmann R 2016 · 4.84 FIP	32	SP	4.84	12.8%	8.4%	3.2%	.325	—	—	—	—	—	4.03	277	48
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	48
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	48
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	47
Michael Nix R 2016 · 4.60 FIP	33	SP	4.60	11.9%	11.6%	1.9%	.322	—	—	—	—	—	3.82	234	46
Fernando Rodriguez Jr. R 2018 · 4.07 FIP	34	SW	4.07	23.7%	9.9%	3.1%	.253	5.11	25.0%	13.8%	32	+1.04	3.34	335	44
Francisco Rodriguez R 2017 · 4.43 FIP	34	SP	4.43	11.4%	8.2%	2.3%	.305	5.18	10.7%	1.4%	83	+0.75	3.16	334	44
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	44
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	42
Rolando Valdez R 2019 · 5.36 FIP	33	SP-	5.36	11.7%	7.6%	4.2%	.360	—	—	—	—	—	3.06	258	41

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 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	3.1	123	19.1%	12.1%	1.37	5.38
Jerry Casale ('58-'62, -1 WAR*)	1.9	93	18.7%*	11.2%*	1.44*	5.30*
Charlie Bishop ('52-'55, -1 WAR*)	1.5	98	16.9%*	11.2%*	1.30*	5.49*
Blake Stein ('02)	2.4	95	17.4%	13.2%	1.48	5.41
Gene Dale ('11-'16, -1 WAR*)	2.2	148	17.7%*	12.6%*	1.45*	5.30*
Mac Suzuki ('02)	2.3	93	15.4%	12.5%	1.29	5.72
Matt Kinney ('05)	1.9	97	16.8%	9.9%	1.39	5.29