Pedro Da Costa Lemos

Pedro Da Costa Lemos P Everett AquaSox

Age 23 RHP 6'0" / 179 lbs A+ peak 0.2 · 2031

2026 ROS PROJECTION27 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 130122vR 114

ERA5.12

FIP5.12

K%17.6%

BB%11.7%

K-BB%5.9%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 32 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL4040

CMD4545

K†4050

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)
2021	18	ROK MLE	DSL Mariners	1	1	3	11	4	1	0	100%	2.7	36.4%	9.1%	27.3%	0.0%	0.00	1.18	—
2021	18	ROK RAW	DSL Mariners	1	1	3	11	4	1	0	100%	2.7	36.4%	9.1%	27.3%	0.0%	0.00	1.23	—
2023	20	ROK MLE	ACL Mariners	17	1	25	104	36	11	1	6%	1.5	23.5%	13.2%	10.3%	1.4%	2.55	3.57	—
2023	20	ROK MLE	ACL Mariners	17	1	25	104	36	11	1	6%	1.5	23.5%	13.2%	10.3%	1.4%	2.55	3.57	—
2023	20	ROK RAW	ACL Mariners	17	1	25	104	36	11	1	6%	1.5	34.6%	10.6%	24.0%	1.0%	2.55	2.05	—
2024	21	A MLE	Modesto Nuts	31	11	90	416	88	40	8	35%	2.9	15.7%	11.3%	4.3%	2.8%	4.32	4.75	—
2024	21	A MLE	Modesto Nuts	31	11	90	416	88	40	8	35%	2.9	15.7%	11.3%	4.3%	2.8%	4.32	4.75	—
2024	21	A RAW	Modesto Nuts	31	11	90	416	88	40	8	35%	2.9	21.2%	9.6%	11.5%	1.9%	4.32	3.64	—
2025	22	MIX MLE	2 levels	35	0	67	290	74	26	6	0%	1.9	19.1%	10.5%	8.6%	3.4%	3.63	4.67	—
2025	22	MIX MLE	2 levels	35	0	67	290	74	26	6	0%	1.9	19.1%	10.5%	8.6%	3.4%	3.63	4.67	—
2025	22	MIX RAW	2 levels	35	0	67	290	74	26	6	0%	1.9	25.5%	9.0%	16.6%	2.1%	3.63	3.22	—
▸ 2026 season
YTD	23	A+ MLE	Everett AquaSox	14	0	27	104	30	7	3	0%	1.9	23.6%	5.2%	18.4%	4.3%	2.67	4.11	—
YTD	23	A+ MLE	Everett AquaSox	14	0	27	104	30	7	3	0%	1.9	23.6%	5.2%	18.4%	4.3%	2.67	4.11	—
▸ 2026 season — so far · projected rest · full
2026	23	ROK RAW	SEA	2	0	4	16	3	3	0	0%	2.0	18.8%	18.8%	0.0%	0.0%	0.00	3.89	—
2026	23	A+ RAW	SEA	12	0	23	88	27	4	3	0%	1.9	30.7%	4.5%	26.1%	3.4%	3.13	2.96	—
ROS	23	MLB MLE	SEA	5	0	5	22	4	3	1	0%	1.0	17.6%	11.7%	5.9%	3.0%	5.12	5.12	-0.0
2026 TOT	23	MLB MLE	SEA	—	—	32	126	34	10	4	—	—	26.9%	7.6%	19.3%	2.9%	3.06	4.27	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	24	MLB MLE	SEA	79	0	83	349	65	38	10	0%	1.0	18.8%	10.7%	8.0%	3.0%	4.95	4.89	-0.3
2028	25	MLB MLE	SEA	80	0	84	353	68	36	10	0%	1.0	19.4%	10.2%	9.2%	3.0%	4.81	4.75	-0.2
2029	26	MLB MLE	SEA	80	0	84	353	70	35	10	0%	1.0	19.7%	10.0%	9.7%	3.0%	4.74	4.70	-0.1
2030	27	MLB MLE	SEA	78	0	82	348	69	35	10	0%	1.1	19.8%	10.0%	9.7%	3.0%	4.73	4.73	-0.2
2031	28	MLB MLE	SEA	76	0	80	337	73	32	10	0%	1.1	21.6%	9.4%	12.3%	3.1%	4.62	4.55	0.0
2032	29	MLB MLE	SEA	73	0	76	322	69	31	10	0%	1.0	21.4%	9.6%	11.8%	3.3%	4.65	4.68	-0.1
2033	30	MLB MLE	SEA	68	0	72	303	64	30	10	0%	1.1	21.0%	9.9%	11.1%	3.5%	4.77	4.85	-0.2
2027	24	MLB CTX	SEA	34	0	36	152	28	16	5	0%	1.1	18.8%	10.7%	8.0%	3.0%	4.95	4.89	-0.1
2028	25	MLB CTX	SEA	53	0	56	236	46	24	7	0%	1.1	19.4%	10.2%	9.2%	3.0%	4.81	4.75	-0.1
2029	26	MLB CTX	SEA	63	0	66	279	55	28	8	0%	1.0	19.7%	10.0%	9.7%	3.0%	4.74	4.70	-0.1
2030	27	MLB CTX	SEA	67	0	70	296	58	30	9	0%	1.0	19.8%	10.0%	9.7%	3.0%	4.73	4.73	-0.1
2031	28	MLB CTX	SEA	68	0	71	300	65	28	9	0%	1.0	21.6%	9.4%	12.3%	3.1%	4.62	4.55	0.0
2032	29	MLB CTX	SEA	66	0	69	291	62	28	9	0%	1.0	21.4%	9.6%	11.8%	3.3%	4.65	4.68	-0.1
2033	30	MLB CTX	SEA	63	0	66	279	59	28	10	0%	1.0	21.0%	9.9%	11.1%	3.5%	4.77	4.85	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		414	0	434	1834	374	181	57	0%	1.0	20.4%	9.9%	10.5%	3.1%	4.74	4.34	+1.1
/ 200 IP	—	RAW		190	0	200	844	172	83	26	0%	1.1	20.4%	9.9%	10.5%	3.1%	4.74	4.34	+0.5
Career	—	MLE		98	13	211	925	173	98	27	13%	2.2	18.8%	10.6%	8.2%	2.9%	3.63	4.48	-1.2
/ 200 IP	—	MLE		93	12	200	877	164	93	26	13%	2.2	18.8%	10.6%	8.2%	2.9%	3.63	4.48	-0.4

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
Pedro Da Costa Lemos (OGILVIE)	—	—	5.12	17.6%	11.7%	3.0%	—	4.78	19.3%	9.0%	250	-0.34	—	—	—
Jayson McKinley R 2017 · 4.39 FIP	23	SU	4.39	17.5%	11.4%	2.4%	.308	3.60	20.4%	11.3%	134	-0.79	2.35	173	90
Tayler Scott R 2015 · 4.48 FIP	23	SU	4.48	16.7%	12.7%	2.1%	.309	4.09	17.9%	6.2%	162	-0.39	3.22	528	89
Jhonny Polanco R 2015 · 4.75 FIP	23	SW	4.75	18.9%	14.2%	2.6%	.283	4.06	21.3%	5.7%	48	-0.69	4.06	116	89
David Trexler R 2015 · 4.62 FIP	24	SU	4.62	17.7%	13.4%	2.4%	.313	4.44	18.3%	4.8%	31	-0.18	4.44	100	89
Thomas Balboni Jr. R 2023 · 3.99 FIP	23	SU	3.99	17.5%	10.9%	1.8%	.331	3.47	28.1%	14.3%	79	-0.52	2.99	122	88
Miguel Guerrero R 2023 · 4.56 FIP	23	SU	4.56	18.1%	10.3%	3.1%	.288	—	—	—	—	—	4.56	171	87
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	87
Matt Eckelman R 2017 · 4.73 FIP	23	SU	4.73	15.0%	9.9%	3.0%	.304	4.23	17.4%	5.7%	97	-0.50	4.07	386	87
Simon Mercedes R 2015 · 4.86 FIP	23	SU	4.86	14.3%	11.7%	2.7%	.309	4.94	16.4%	3.9%	60	+0.08	4.86	139	87
Kieran Lovegrove R 2017 · 4.92 FIP	23	SU	4.92	17.9%	12.6%	3.2%	.273	4.46	19.3%	4.5%	76	-0.46	3.79	215	87
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	87
Joan Gregorio R 2015 · 4.29 FIP	23	SW	4.29	18.0%	10.2%	2.6%	.269	4.18	21.1%	11.1%	208	-0.11	3.69	301	86
Colby Blueberg R 2016 · 4.42 FIP	23	SU	4.42	17.7%	11.0%	2.6%	.310	3.80	21.6%	10.6%	110	-0.62	2.36	229	86
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	86
Alaska Abney R 2023 · 4.92 FIP	23	SU	4.92	18.8%	13.8%	3.0%	.301	3.89	17.4%	7.9%	104	-1.03	3.38	207	86
Taylor Lewis R 2017 · 5.12 FIP	23	SU	5.12	15.4%	11.7%	3.3%	.335	—	—	—	—	—	2.47	142	86
Billy Corcoran R 2023 · 4.20 FIP	23	SW	4.20	19.5%	10.0%	2.7%	.308	5.16	16.5%	8.7%	206	+0.96	4.20	275	86
Jake McCasland R 2015 · 4.78 FIP	23	SU	4.78	14.2%	9.8%	3.0%	.348	3.80	15.8%	8.2%	317	-0.98	3.07	367	86
Alec Barger R 2021 · 4.55 FIP	23	SW	4.55	21.7%	13.6%	2.8%	.289	4.17	21.3%	9.4%	148	-0.38	3.85	242	86
Jake Johansen R 2015 · 5.34 FIP	24	SU	5.34	15.8%	12.8%	3.6%	.351	4.14	13.6%	3.0%	114	-1.20	3.65	162	86

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	3.1	78	19.9%	10.1%	1.19	4.79
Daniel Norris ('22)	2.8	70	21.7%	8.5%	1.37	4.70
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Matt Wisler ('22)	2.5	63	20.1%	7.6%	1.40	4.59
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43