Konnor Pilkington

Konnor Pilkington P Rochester Red Wings

Age 28 LHP 6'3" / 240 lbs AAA

2026 ROS PROJECTION41 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 117125vR 133

ERA4.96

FIP5.27

K%22.9%

BB%14.1%

K-BB%8.8%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 47 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL2525

CMD5050

K†5555

Statcast Percentiles

FB Velo

p5094.5

Whiff%

p7429.1%

p7927.6%

xwOBA vs

p100.382

FB+1.7 (59%)

CH-0.6 (22%)

SL-5.2 (19%)

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)
2018	20	ROK MLE	Great Falls Voyagers	8	7	14	68	11	5	1	88%	1.8	11.0%	9.2%	1.8%	2.1%	7.07	4.47	—
2018	20	ROK RAW	Great Falls Voyagers	8	7	14	68	11	5	1	88%	1.8	16.2%	7.4%	8.8%	1.5%	7.07	3.53	—
2019	21	MIX MLE	2 levels	25	25	129	543	138	50	9	100%	5.2	19.3%	10.7%	8.7%	2.0%	4.12	3.92	—
2019	21	MIX RAW	2 levels	25	25	129	543	138	50	9	100%	5.2	25.4%	9.2%	16.2%	1.7%	4.12	3.03	—
2021	23	AA MLE	Akron RubberDucks	22	21	101	389	120	39	11	95%	4.6	25.0%	11.0%	14.0%	3.8%	3.04	4.47	—
2021	23	AA RAW	Akron RubberDucks	22	21	101	389	120	39	11	95%	4.6	30.8%	10.0%	20.8%	2.8%	3.04	3.30	—
2022	24	MIX MLE	2 levels	28	23	115	510	108	58	14	82%	4.1	19.8%	11.6%	8.2%	2.9%	4.87	4.49	+0.5
2022	24	MIX RAW	2 levels	28	23	115	510	108	58	14	82%	4.1	21.2%	11.4%	9.8%	2.7%	4.87	4.32	+0.8
2023	25	MIX MLE	2 levels	27	18	77	381	79	64	17	67%	2.8	17.1%	15.2%	1.9%	5.0%	8.22	6.30	-1.2
2023	25	MIX MLE	2 levels	27	18	77	381	79	64	17	67%	2.8	17.1%	15.2%	1.9%	5.0%	8.22	6.30	-1.2
2023	25	MIX RAW	2 levels	27	18	77	381	79	64	17	67%	2.8	20.7%	16.8%	3.9%	4.5%	8.22	6.43	-1.3
2024	26	AAA MLE	Reno Aces	33	21	78	359	79	49	7	64%	2.4	18.3%	12.3%	6.0%	1.9%	5.91	4.16	—
2024	26	AAA MLE	Reno Aces	33	21	78	359	79	49	7	64%	2.4	18.3%	12.3%	6.0%	1.9%	5.91	4.16	—
2024	26	AAA RAW	Reno Aces	33	21	78	359	79	49	7	64%	2.4	22.0%	13.6%	8.4%	1.9%	5.91	4.13	—
2025	27	MIX MLE	2 levels	68	3	70	301	84	44	9	4%	1.0	25.1%	13.7%	11.4%	3.1%	3.34	4.41	+0.1
2025	27	MIX MLE	2 levels	68	3	70	301	84	44	9	4%	1.0	25.1%	13.7%	11.4%	3.1%	3.34	4.41	+0.1
2025	27	MIX RAW	2 levels	68	3	70	301	84	44	9	4%	1.0	27.9%	14.6%	13.3%	3.0%	3.34	4.26	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			48	11	88	389	86	50	13	23%	1.8	22.1%	12.9%	9.3%	3.3%	3.97	4.76	-0.2
▸ 2026 season
YTD	28	AAA MLE	Rochester Red Wings	31	5	41	193	35	36	5	16%	1.3	15.1%	16.8%	-1.7%	2.8%	4.57	5.52	—
YTD	28	AAA MLE	Rochester Red Wings	31	5	41	193	35	36	5	16%	1.3	15.1%	16.8%	-1.7%	2.8%	4.57	5.52	—
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	WSH	31	5	41	193	35	36	5	16%	1.3	18.1%	18.7%	-0.5%	2.6%	4.57	5.35	—
ROS	28	MLB MLE	WSH	5	0	5	23	5	3	1	0%	1.1	22.9%	14.1%	8.8%	3.5%	4.96	5.27	-0.0
2026 TOT	28	MLB MLE	WSH	—	—	47	216	40	39	6	—	—	18.6%	18.2%	0.5%	2.7%	4.62	5.49	-0.5
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	WSH	136	0	142	601	134	82	22	0%	1.0	22.2%	13.7%	8.5%	3.6%	5.14	5.32	-1.2
2028	30	MLB MLE	WSH	127	0	134	565	122	77	21	0%	1.1	21.5%	13.6%	7.9%	3.8%	5.30	5.45	-1.3
2027	29	MLB CTX	WSH	50	0	52	220	49	30	8	0%	1.0	22.2%	13.7%	8.5%	3.6%	5.14	5.32	-0.4
2028	30	MLB CTX	WSH	70	0	74	312	67	42	12	0%	1.1	21.5%	13.6%	7.9%	3.8%	5.30	5.45	-0.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		169	11	215	924	203	123	33	7%	1.3	21.9%	13.3%	8.6%	3.6%	4.72	4.88	-0.8
/ 200 IP	—	RAW		157	10	200	859	189	114	31	7%	1.3	21.9%	13.3%	8.6%	3.6%	4.72	4.88	-0.8
Career	—	MLE		242	123	624	2744	546	342	82	51%	2.6	19.9%	12.5%	7.4%	3.0%	4.82	4.65	-1.4
/ 200 IP	—	MLE		78	39	200	879	175	110	26	51%	2.6	19.9%	12.5%	7.4%	3.0%	4.82	4.65	-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
Konnor Pilkington (OGILVIE)	—	—	5.27	22.9%	14.1%	3.5%	—	5.38	21.9%	8.2%	276	+0.11	—	—	—
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	68
Ross Detwiler L 2015 · 5.50 FIP	29	SW	5.50	14.2%	12.2%	3.8%	.356	4.80	14.1%	5.9%	242	-0.70	3.49	512	65
Chad Bell L 2017 · 4.57 FIP	28	SW	4.57	19.4%	8.9%	3.6%	.341	4.38	18.8%	11.4%	57	-0.19	3.39	393	64
Will Lamb L 2017 · 5.78 FIP	26	SU	5.78	20.0%	14.0%	4.7%	.322	—	—	—	—	—	3.64	178	63
Mitchell Tyranski L 2023 · 5.14 FIP	25	SU	5.14	20.4%	13.6%	3.7%	.269	4.10	20.7%	6.1%	103	-1.04	3.46	145	63
Juan Grullon L 2016 · 4.64 FIP	26	SU	4.64	19.8%	10.9%	3.3%	.305	—	—	—	—	—	4.64	134	63
Brendan Nail L 2023 · 4.39 FIP	27	SU	4.39	18.9%	10.5%	2.8%	.262	—	—	—	—	—	3.45	165	63
Brian Holmes L 2017 · 5.91 FIP	26	SW	5.91	15.5%	11.7%	4.8%	.354	—	—	—	—	—	3.60	205	63
Manny Banuelos L 2019 · 5.89 FIP	28	SP-	5.89	18.7%	12.8%	5.0%	.322	2.95	22.9%	12.0%	72	-2.94	2.95	486	62
Josh Osich L 2017 · 5.00 FIP	28	SU	5.00	21.4%	12.9%	3.8%	.328	4.47	21.1%	14.1%	143	-0.53	3.41	315	62
Daniel Zamora L 2021 · 5.17 FIP	28	SU	5.17	23.6%	12.5%	4.5%	.357	3.76	21.3%	9.8%	92	-1.41	2.15	310	62
Zac Rosscup L 2015 · 4.84 FIP	27	SU	4.84	24.6%	11.0%	4.4%	.296	2.85	29.5%	21.7%	40	-1.99	2.56	160	61
Sam Freeman L 2015 · 4.21 FIP	28	SU	4.21	23.4%	14.6%	2.2%	.265	3.52	22.0%	10.3%	166	-0.69	3.03	299	60
Trey Jeans L 2022 · 5.09 FIP	26	SU	5.09	22.3%	16.5%	3.3%	.291	—	—	—	—	—	2.74	111	60
Austin Warner L 2022 · 4.78 FIP	28	SW	4.78	16.9%	9.0%	3.6%	.319	—	—	—	—	—	3.81	491	60
Jeremy Horst L 2015 · 4.09 FIP	29	SU	4.09	18.8%	11.2%	2.1%	.291	3.71	15.1%	2.7%	48	-0.38	3.71	108	60
Ashur Tolliver L 2016 · 4.19 FIP	28	SU	4.19	21.3%	9.8%	3.0%	.308	5.03	13.8%	-5.1%	35	+0.84	3.49	134	60
Aaron Rozek L 2023 · 4.87 FIP	27	SP-	4.87	17.4%	8.8%	3.9%	.311	4.43	16.3%	8.9%	346	-0.44	3.70	569	59
Trey Cumbie L 2022 · 5.07 FIP	26	SU	5.07	23.3%	16.1%	3.4%	.215	—	—	—	—	—	3.44	152	59
Brian Johnson L 2019 · 4.49 FIP	28	SW	4.49	18.8%	11.2%	2.8%	.349	4.94	15.5%	6.4%	61	+0.45	3.39	506	59

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	2.1	142	22.3%	13.8%	1.40	5.13
Josiah Gray ('23)	1.9	126	22.6%	10.8%	1.88	4.64
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Brandon Finnegan ('18)	1.2	80	19.7%	11.6%	1.57	4.19
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Caleb Smith ('22)	2.1	104	25.1%	11.0%	1.67	4.47