Landon Waters

P Dunedin Blue Jays

Age 23 RHP A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	22	ATOR	9	13	5.40	3.85	29.8%	10.5%	—	K 22.1% · BB 12.4% · FIP 5.31
2027PROJ	23	MLBTOR	8	8	4.60	4.60	23.0%	10.9%	-0.0
2028PROJ43% MLB	24	MLBTOR	9	9	4.49	4.43	23.6%	10.2%	0.0

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

Contract

No contract data on file.

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

CompsRicardo Velez (age 24) · Peyton Williams (age 23) · Heath Holder (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121112vR 104

ERA4.60

FIP4.60

K%23.0%

BB%10.9%

K-BB%12.0%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†5555

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)
2026	22	A MLE	Dunedin Blue Jays	9	0	13	57	17	6	2	0%	1.5	22.1%	12.4%	9.6%	4.6%	5.40	5.31	—
2026	22	A MLE	Dunedin Blue Jays	9	0	13	57	17	6	2	0%	1.5	22.1%	12.4%	9.6%	4.6%	5.40	5.31	—
2026	22	A RAW	Dunedin Blue Jays	9	0	13	57	17	6	2	0%	1.5	29.8%	10.5%	19.3%	3.5%	5.40	3.85	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	TOR	8	0	8	34	8	4	1	0%	1.0	23.0%	10.9%	12.0%	3.0%	4.60	4.60	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	TOR	19	0	20	84	20	9	3	0%	1.1	23.6%	10.2%	13.4%	3.0%	4.49	4.43	+0.0
2028	24	MLB CTX	TOR	9	0	9	38	9	4	1	0%	1.0	23.6%	10.2%	13.4%	3.0%	4.49	4.43	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	9	4	1	0%	1.1	23.6%	10.2%	13.4%	3.0%	4.49	4.05	+0.1
/ 200 IP	—	RAW		190	0	200	844	211	94	23	0%	1.1	23.6%	10.2%	13.4%	3.0%	4.49	4.05	+1.2
Career	—	MLE		9	0	13	57	13	7	3	0%	1.5	22.1%	12.4%	9.6%	4.6%	5.40	5.31	+0.0
/ 200 IP	—	MLE		135	0	200	855	189	106	39	0%	1.5	22.1%	12.4%	9.6%	4.6%	5.40	5.31	+0.3

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
Landon Waters (OGILVIE)	—	—	4.60	23.0%	10.9%	3.0%	—	4.43	23.6%	13.4%	20	-0.17	—	—	—
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	91
Peyton Williams R 2021 · 3.69 FIP	23	SU	3.69	22.3%	10.3%	2.1%	.311	4.82	22.2%	10.2%	100	+1.13	3.69	123	90
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	90
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	87
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	86
Nic Enright R 2019 · 3.63 FIP	22	SU	3.63	24.6%	12.2%	1.9%	.263	3.01	29.6%	23.5%	124	-0.62	0.43	249	86
Chris Perez R 2008 · 4.22 FIP	23	SU	4.22	23.7%	12.4%	2.8%	.269	3.71	22.5%	12.6%	180	-0.51	3.18	379	86
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	85
Cre Finfrock R 2019 · 4.63 FIP	23	SU	4.63	23.0%	11.7%	3.6%	.278	6.31	16.7%	-8.5%	36	+1.68	4.27	103	85
Kyle Schepel R 2015 · 4.63 FIP	24	SU	4.63	23.1%	10.7%	3.9%	.233	3.64	22.1%	10.4%	120	-0.99	3.54	156	85
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	85
Shawn Tolleson R 2012 · 3.86 FIP	24	SU	3.86	24.4%	11.9%	2.4%	.265	3.47	24.4%	18.5%	144	-0.39	3.05	218	85
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	85
Owen Holt R 2022 · 3.72 FIP	23	SU	3.72	20.7%	10.2%	2.0%	.258	4.51	18.7%	6.4%	107	+0.79	3.72	145	85
Vince Vannelle R 2022 · 3.71 FIP	24	SU	3.71	19.9%	8.6%	2.2%	.282	5.30	15.3%	4.5%	76	+1.59	3.71	105	85
Grant Balfour R 2003 · 4.13 FIP	25	SU	4.13	26.1%	10.4%	3.5%	.275	3.79	24.4%	12.8%	39	-0.34	2.04	533	84
Tyler Mitzel R 2019 · 4.34 FIP	23	SU	4.34	24.1%	12.0%	3.2%	.245	4.10	22.4%	14.3%	96	-0.24	4.03	142	84
Justin Yeager R 2021 · 3.59 FIP	23	SU	3.59	26.6%	12.3%	2.1%	.281	3.96	25.4%	12.6%	103	+0.37	3.32	265	84
Cody Allen R 2012 · 3.67 FIP	23	SU	3.67	21.4%	11.9%	1.6%	.329	2.40	32.1%	24.3%	209	-1.27	1.58	464	84
Stolmy Pimentel R 2014 · 4.13 FIP	24	SU	4.13	25.7%	9.5%	3.6%	.319	4.17	14.8%	4.3%	143	+0.04	3.87	176	84