Jonathan Cannon — OGILVIE

Jonathan Cannon P Charlotte Knights

Age 26 RHP 6'6" / 225 lbs AAA peak 0.7 · 2027 ILReassigned to Minors (RM)

2026 ROS PROJECTION120 act + 10 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 130122vR 114

ERA4.99

FIP5.01

K%17.2%

BB%8.5%

K-BB%8.8%

ROS IP10

Value2026 · WAR

Runs saved vs league avg · 130 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4040

CTRL5050

CMD4040

K†4040

Statcast Percentiles

FB Velo

p4093.8

Whiff%

p2221.4%

p2518.5%

xwOBA vs

p150.354

SI (11%)

CT (6%)

CH (9%)

SL (19%)

FB-0.5 (66%)

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)
2022	22	MIX MLE	2 levels	4	3	7	26	4	3	0	75%	1.8	15.4%	11.5%	3.8%	0.0%	1.23	3.26	—
2022	22	MIX RAW	2 levels	4	3	7	26	4	3	0	75%	1.8	15.4%	11.5%	3.8%	0.0%	1.23	3.24	—
2023	23	MIX MLE	2 levels	25	25	121	517	106	39	15	100%	4.8	16.1%	8.5%	7.6%	3.5%	4.46	4.74	—
2023	23	MIX MLE	2 levels	25	25	121	517	106	39	15	100%	4.8	16.1%	8.5%	7.6%	3.5%	4.46	4.74	—
2023	23	MIX RAW	2 levels	25	25	121	517	106	39	15	100%	4.8	20.5%	7.5%	13.0%	2.9%	4.46	3.93	—
2024	24	MIX MLE	2 levels	31	29	162	690	126	58	21	94%	5.2	17.4%	8.1%	9.3%	3.0%	4.72	4.33	+1.1
2024	24	MIX MLE	2 levels	31	29	162	690	126	58	21	94%	5.2	17.4%	8.1%	9.3%	3.0%	4.72	4.33	+1.1
2024	24	MIX RAW	2 levels	31	29	162	690	126	58	21	94%	5.2	18.3%	8.4%	9.9%	3.0%	4.72	4.30	+1.1
2025	25	MIX MLE	2 levels	29	24	135	610	107	51	24	83%	4.7	17.0%	8.1%	8.8%	3.7%	5.72	4.75	+0.2
2025	25	MIX MLE	2 levels	29	24	135	610	107	51	24	83%	4.7	17.0%	8.1%	8.8%	3.7%	5.72	4.75	+0.2
2025	25	MIX RAW	2 levels	29	24	135	610	107	51	24	83%	4.7	17.5%	8.4%	9.2%	3.9%	5.72	4.95	-0.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			47	38	231	1006	181	82	37	81%	4.9	18.0%	8.2%	9.8%	3.7%	5.14	4.68	+0.6
▸ 2026 season
YTD	26	MLB MLE	Chicago White Sox	26	19	120	529	120	48	22	73%	4.6	18.8%	7.6%	11.3%	4.7%	4.86	5.07	—
YTD	26	MLB MLE	Chicago White Sox	26	19	120	529	120	48	22	73%	4.6	18.8%	7.6%	11.3%	4.7%	4.86	5.07	—
▸ 2026 season — so far · projected rest · full
2026	26	AAA RAW	CWS	24	19	117	511	116	43	22	79%	4.9	22.7%	8.4%	14.3%	4.3%	4.76	4.61	—
2026	26	MLB RAW	CWS	2	0	3	18	4	5	0	0%	1.5	22.2%	27.8%	-5.6%	0.0%	9.00	4.74	—
SO FAR	26	MLB RAW	CWS	2	0	3	18	4	5	0	0%	1.5	22.2%	27.8%	-5.6%	0.0%	9.00	4.74	—
ROS	26	MLB MLE	CWS	2	2	10	42	7	4	1	100%	5.0	17.2%	8.5%	8.8%	3.5%	4.99	5.01	-0.0
ROS	26	MLB CTX	CWS	2	2	10	42	7	4	1	100%	5.0	17.2%	8.5%	8.8%	3.5%	4.99	5.01	-0.0
2026 TOT	26	MLB MLE	CWS	—	—	130	571	127	52	23	—	—	22.3%	9.0%	13.3%	4.1%	4.87	5.06	-0.2
FULL	26	MLB A+C	CWS	—	—	13	55	127	52	23	—	—	231.4%	93.8%	137.6%	42.7%	48.73	18.86	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	CWS	25	25	148	623	107	53	22	100%	5.9	17.2%	8.5%	8.7%	3.5%	5.02	5.04	-0.2
2028	28	MLB MLE	CWS	25	25	148	623	107	54	23	100%	5.9	17.1%	8.7%	8.4%	3.6%	5.09	5.13	-0.4
2029	29	MLB MLE	CWS	24	24	141	595	98	53	22	100%	5.9	16.5%	8.9%	7.6%	3.8%	5.21	5.29	-0.6
2030	30	MLB MLE	CWS	22	22	132	559	88	52	22	100%	6.0	15.8%	9.2%	6.6%	4.0%	5.38	5.50	-0.9
2027	27	MLB CTX	CWS	23	23	140	591	102	50	21	100%	6.1	17.2%	8.5%	8.7%	3.5%	5.02	5.04	-0.2
2028	28	MLB CTX	CWS	23	23	140	591	101	51	21	100%	6.1	17.1%	8.7%	8.4%	3.6%	5.09	5.13	-0.4
2029	29	MLB CTX	CWS	22	22	134	566	93	50	21	100%	6.1	16.5%	8.9%	7.6%	3.8%	5.21	5.29	-0.6
2030	30	MLB CTX	CWS	21	21	126	532	84	49	21	100%	6.0	15.8%	9.2%	6.6%	4.0%	5.38	5.50	-0.8
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		139	130	781	3329	569	287	123	94%	5.6	17.1%	8.6%	8.5%	3.7%	5.16	4.78	+1.0
/ 200 IP	—	RAW		35	33	200	852	146	73	31	94%	5.6	17.1%	8.6%	8.5%	3.7%	5.16	4.78	+0.3
Career	—	MLE		115	100	546	2372	410	193	87	87%	4.7	17.3%	8.1%	9.2%	3.7%	4.90	4.68	-1.6
/ 200 IP	—	MLE		42	37	200	869	150	71	32	87%	4.7	17.3%	8.1%	9.2%	3.7%	4.90	4.68	-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
Jonathan Cannon (OGILVIE)	—	—	5.01	17.2%	8.5%	3.5%	—	5.15	16.9%	8.2%	436	+0.14	—	—	—
Nestor Molina R 2016 · 4.83 FIP	27	SP	4.83	15.0%	8.0%	3.6%	.304	3.61	17.0%	10.2%	289	-1.22	3.01	401	74
Jared Mortensen R 2015 · 4.42 FIP	27	SP-	4.42	16.9%	7.8%	3.2%	.287	4.99	20.9%	2.1%	72	+0.57	4.42	200	73
Nick Martinez R 2017 · 5.09 FIP	26	SP-	5.09	13.9%	5.6%	4.5%	.258	—	—	—	—	—	2.94	1,134	73
Nathan Eovaldi R 2016 · 4.71 FIP	26	SP	4.71	18.5%	7.2%	4.1%	.272	4.29	22.6%	15.6%	179	-0.42	2.44	1,378	72
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	72
David Hale R 2015 · 4.15 FIP	27	SP-	4.15	16.2%	6.8%	2.8%	.343	4.11	13.8%	8.1%	251	-0.04	3.30	493	72
David Phelps R 2015 · 3.94 FIP	28	SP	3.94	16.0%	6.8%	2.4%	.299	2.82	29.9%	20.6%	142	-1.12	2.50	373	72
Forrest Snow R 2015 · 5.03 FIP	26	SP-	5.03	16.1%	8.2%	4.1%	.263	4.14	21.8%	14.2%	256	-0.89	3.02	406	72
Shane Greene R 2015 · 4.50 FIP	26	SP	4.50	13.0%	6.6%	3.0%	.309	3.60	24.1%	15.6%	191	-0.90	2.86	484	71
Allen Webster R 2015 · 5.05 FIP	25	SP	5.05	14.0%	9.1%	3.6%	.356	5.78	14.9%	6.8%	58	+0.73	4.56	177	71
Caleb Kilian R 2023 · 4.66 FIP	26	SP	4.66	15.4%	6.2%	3.8%	.290	3.57	21.4%	13.2%	105	-1.09	2.42	444	71
Cameron Foster R 2023 · 4.31 FIP	24	SP	4.31	18.9%	10.3%	2.7%	.329	4.05	20.9%	10.9%	132	-0.26	2.54	213	71
Andrew Quezada R 2023 · 5.33 FIP	26	SP-	5.33	14.4%	9.5%	4.1%	.344	4.92	12.5%	5.0%	173	-0.41	4.40	412	71
Joe Wieland R 2016 · 4.27 FIP	26	SP	4.27	18.6%	7.3%	3.3%	.359	—	—	—	—	—	3.38	270	71
Justin Armbruester R 2023 · 4.44 FIP	24	SP	4.44	17.3%	9.6%	2.9%	.271	5.30	20.4%	9.9%	135	+0.86	1.49	373	70
Hector Velázquez R 2015 · 4.31 FIP	26	SP	4.31	15.0%	8.7%	2.5%	.297	3.35	18.1%	12.8%	343	-0.96	2.75	536	70
Sonny Gray R 2016 · 4.69 FIP	26	SP	4.69	18.2%	8.1%	3.8%	.317	3.48	24.6%	15.4%	468	-1.21	2.55	1,792	70
Jason Forjet R 2016 · 4.48 FIP	26	SP	4.48	15.9%	5.5%	3.7%	.260	—	—	—	—	—	3.36	197	70
Luke Irvine R 2016 · 4.31 FIP	27	SP-	4.31	13.4%	9.8%	2.0%	.302	—	—	—	—	—	4.31	104	70
Connor Noland R 2023 · 3.98 FIP	24	SP	3.98	14.8%	5.7%	2.6%	.290	4.32	15.8%	8.2%	335	+0.34	3.98	443	70

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	3.4	134	16.8%	8.8%	1.43	5.14
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
Homer Bailey ('19)	1.9	96	18.5%	7.8%	1.34	5.56
Mike Foltynewicz ('21)	4.0	134	21.4%	7.7%	1.46	4.45
Julio Teheran ('23)	5.2	147	20.4%	8.8%	1.34	4.12
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Dylan Bundy ('22)	4.5	130	22.0%	7.3%	1.61	4.75