Charlie Morton

PosP

B/TR/R

Born1983-11-12

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

MLBSP

Pitching

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR
2023	39	MLBATL	30	30	163	3.64	3.46	25.6%	11.3%	3.9
2024	40	MLBATL	30	30	165	4.19	4.05	23.8%	9.1%	2.7
2025	41	MLBATL	33	27	142	5.83	4.59	22.8%	10.7%	1.3
2026	42	No MLB games played
2027PROJ	43	MLBATL	16	16	95	4.68	4.61	23.2%	10.1%	0.9
2028PROJ	44	MLBATL	8	8	46	4.90	5.04	22.1%	10.8%	0.2

Last 3 seasons WAR 7.9 · Next 2 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

Hitting

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2014	30	MLBPIT	49	.050/.073/.050	0	0	-79	-1.0
2015	31	MLBPIT	43	.028/.054/.028	0	0	-89	-0.9
2021	37	MLBATL	62	.127/.127/.145	0	0	-41	-0.9
2022	38	No MLB games played
2023	39	No MLB games played
2024	40	No MLB games played
2025	41	No MLB games played
2026	42	No MLB games played

Last 3 seasons WAR -2.8

Contract

No contract data on file.

CompsFrancisco Campos (age 43) · Juan Antonio Pena (age 41)

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 the standard WAR scale.

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)
2008	24	MLB MLE	Atlanta Braves	16	15	75	345	48	39	9	94%	4.7	13.9%	11.3%	2.6%	2.6%	6.15	4.79	+0.5
2008	24	MLB RAW	Atlanta Braves	16	15	75	345	48	39	9	94%	4.7	13.9%	11.3%	2.6%	2.6%	6.15	4.95	+0.4
2009	25	MLB MLE	Pittsburgh Pirates	18	18	97	416	62	40	7	100%	5.4	14.9%	9.6%	5.3%	1.7%	4.55	3.98	+1.6
2009	25	MLB RAW	Pittsburgh Pirates	18	18	97	416	62	40	7	100%	5.4	14.9%	9.6%	5.3%	1.7%	4.55	4.00	+1.6
2010	26	MLB MLE	Pittsburgh Pirates	17	17	80	382	59	23	15	100%	4.7	15.4%	6.0%	9.4%	4.2%	7.57	4.89	+0.5
2010	26	MLB RAW	Pittsburgh Pirates	17	17	80	382	59	23	15	100%	4.7	15.4%	6.0%	9.4%	3.9%	7.57	4.93	+0.4
2011	27	MLB MLE	Pittsburgh Pirates	29	29	172	769	110	72	6	100%	5.9	14.3%	9.4%	4.9%	0.8%	3.83	3.54	+3.9
2011	27	MLB RAW	Pittsburgh Pirates	29	29	172	769	110	72	6	100%	5.9	14.3%	9.4%	4.9%	0.8%	3.83	3.53	+3.9
2012	28	MLB MLE	Pittsburgh Pirates	9	9	50	223	25	10	5	100%	5.6	11.2%	4.5%	6.7%	2.4%	4.65	4.05	+0.8
2012	28	MLB RAW	Pittsburgh Pirates	9	9	50	223	25	10	5	100%	5.6	11.2%	4.5%	6.7%	2.2%	4.65	3.99	+0.8
2013	29	MLB MLE	Pittsburgh Pirates	20	20	116	493	85	35	6	100%	5.8	17.2%	7.1%	10.1%	1.3%	3.26	3.27	+3.1
2013	29	MLB RAW	Pittsburgh Pirates	20	20	116	493	85	35	6	100%	5.8	17.2%	7.1%	10.1%	1.2%	3.26	3.21	+3.2
2014	30	MLB MLE	Pittsburgh Pirates	26	26	157	666	126	55	9	100%	6.1	18.9%	8.3%	10.7%	1.5%	3.72	3.35	+4.0
2014	30	MLB RAW	Pittsburgh Pirates	26	26	157	666	126	55	9	100%	6.1	18.9%	8.3%	10.7%	1.4%	3.72	3.29	+4.1
2015	31	MIX MLE	3 levels	26	26	149	643	118	41	13	100%	5.7	17.9%	6.3%	11.6%	2.3%	4.34	3.63	+3.2
2015	31	MIX RAW	3 levels	26	26	149	643	118	41	13	100%	5.7	18.4%	6.4%	12.0%	2.0%	4.34	3.48	+3.5
2016	32	MLB MLE	Philadelphia Phillies	4	4	17	71	19	8	1	100%	4.3	26.8%	11.3%	15.5%	1.3%	4.15	2.99	+0.5
2016	32	MLB RAW	Philadelphia Phillies	4	4	17	71	19	8	1	100%	4.3	26.8%	11.3%	15.5%	1.4%	4.15	3.04	+0.5
2017	33	MIX MLE	3 levels	28	28	157	656	171	53	15	100%	5.6	26.4%	7.9%	18.5%	2.3%	3.44	3.16	+4.4
2017	33	MIX RAW	3 levels	28	28	157	656	171	53	15	100%	5.6	26.1%	8.1%	18.0%	2.3%	3.44	3.18	+4.3
2018	34	MLB MLE	Houston Astros	30	30	167	695	201	64	18	100%	5.6	28.9%	9.2%	19.7%	2.7%	3.13	3.29	+4.4
2018	34	MLB RAW	Houston Astros	30	30	167	695	201	64	18	100%	5.6	28.9%	9.2%	19.7%	2.6%	3.13	3.24	+4.5
2019	35	MLB MLE	Tampa Bay Rays	33	33	195	790	240	57	15	100%	5.9	30.4%	7.2%	23.2%	2.0%	3.05	2.52	+7.2
2019	35	MLB RAW	Tampa Bay Rays	33	33	195	790	240	57	15	100%	5.9	30.4%	7.2%	23.2%	1.9%	3.05	2.51	+7.3
2020	36	MLB MLE	Tampa Bay Rays	9	9	38	170	42	10	4	100%	4.2	24.7%	5.9%	18.8%	2.4%	4.74	3.09	+1.1
2020	36	MLB RAW	Tampa Bay Rays	9	9	38	170	42	10	4	100%	4.2	24.7%	5.9%	18.8%	2.4%	4.74	3.05	+1.1
2021	37	MLB MLE	Atlanta Braves	33	33	186	756	216	57	16	100%	5.6	28.6%	7.5%	21.0%	2.1%	3.34	2.80	+6.1
2021	37	MLB RAW	Atlanta Braves	33	33	186	756	216	57	16	100%	5.6	28.6%	7.5%	21.0%	2.1%	3.34	2.81	+6.1
2022	38	MLB MLE	Atlanta Braves	31	31	172	728	205	63	28	100%	5.5	28.2%	8.7%	19.5%	3.8%	4.34	3.93	+3.0
2022	38	MLB RAW	Atlanta Braves	31	31	172	728	205	63	28	100%	5.5	28.2%	8.7%	19.5%	3.8%	4.34	3.93	+3.0
2023	39	MLB MLE	Atlanta Braves	30	30	163	716	183	81	14	100%	5.4	25.6%	11.3%	14.2%	2.0%	3.64	3.45	+3.9
2023	39	MLB RAW	Atlanta Braves	30	30	163	716	183	81	14	100%	5.4	25.6%	11.3%	14.2%	2.0%	3.64	3.46	+3.9
2024	40	MLB MLE	Atlanta Braves	30	30	165	701	167	64	23	100%	5.5	23.8%	9.1%	14.7%	3.3%	4.19	4.05	+2.7
2024	40	MLB MLE	Atlanta Braves	30	30	165	701	167	64	23	100%	5.5	23.8%	9.1%	14.7%	3.3%	4.19	4.05	+2.7
2024	40	MLB RAW	Atlanta Braves	30	30	165	701	167	64	23	100%	5.5	23.8%	9.1%	14.7%	3.3%	4.19	4.05	+2.7
2025	41	MLB MLE	Atlanta Braves	33	27	142	654	149	70	23	82%	4.3	22.8%	10.7%	12.1%	3.5%	5.83	4.46	+1.6
2025	41	MLB MLE	Atlanta Braves	33	27	142	654	149	70	23	82%	4.3	22.8%	10.7%	12.1%	3.5%	5.83	4.46	+1.6
2025	41	MLB RAW	Atlanta Braves	33	27	142	654	149	70	23	82%	4.3	22.8%	10.7%	12.1%	3.5%	5.83	4.59	+1.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			416	409	2268	9755	2196	832	226	98%	5.5	22.5%	8.5%	14.0%	2.3%	4.13	3.56	+50.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	43	MLB	ATL	16	16	95	401	93	40	13	100%	5.9	23.2%	10.1%	13.2%	3.3%	4.68	4.61	+0.9
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	44	MLB MLE	ATL	8	8	46	193	43	21	7	100%	5.7	22.1%	10.8%	11.3%	3.8%	4.90	5.04	+0.2
2028	44	MLB CTX	ATL	8	8	46	194	43	21	7	100%	5.8	22.1%	10.8%	11.3%	3.8%	4.90	5.04	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		424	417	2313	9948	2239	853	233	98%	5.5	22.5%	8.6%	13.9%	2.3%	4.14	3.57	+51.4
/ 200 IP	—	RAW		37	36	200	860	194	74	20	98%	5.5	22.5%	8.6%	13.9%	2.3%	4.14	3.57	+4.4
Career	—	MLE		422	415	2298	9874	2226	841	233	98%	5.4	22.5%	8.5%	14.0%	2.4%	4.09	3.57	+50.9
/ 200 IP	—	MLE		37	36	200	859	194	73	20	98%	5.4	22.5%	8.5%	14.0%	2.4%	4.09	3.57	+4.4

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2017 AAAFresno Grizzlies · 6 IPFIP 5.59 → 6.14 (+0.55)K% 13.6% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.64%	—	×0.880	12.00%
BB% (unintentional) /BF	9.09%	—	×1.050	9.55%
HR / BF /BF	4.55%	÷0.963	×1.100	5.19%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 93).

Result: FIP 5.59 → 6.14, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2015 AAAIndianapolis Indians · 13 IPFIP 1.44 → 1.79 (+0.35)K% 30.4% → 26.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.36%	—	×0.880	26.71%
BB% (unintentional) /BF	7.14%	—	×1.050	7.50%
HR / BF /BF	0.00%	÷0.847	×1.100	0.00%

Result: FIP 1.44 → 1.79, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2015 AAAltoona Curve · 7 IPFIP 2.40 → 2.84 (+0.44)K% 20.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.810	16.88%
BB% (unintentional) /BF	8.33%	—	×1.100	9.17%
HR / BF /BF	0.00%	÷0.912	×1.200	0.00%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 82).

Result: FIP 2.40 → 2.84, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	12.0	127	22.5%	8.9%	0.92	4.16
Al Downing ('61-'77, 26 WAR*)	11.3	151	22.4%*	9.6%*	0.97*	4.03*
Bruce Kison ('71-'85, 16 WAR*)	9.0	121	20.4%*	8.5%*	1.10*	4.16*
Aníbal Sánchez ('22)	10.1	126	20.6%	8.0%	1.06	4.06
Bob Ojeda ('80-'94, 22 WAR*)	9.4	135	19.1%*	8.5%*	0.97*	4.08*
Jake Arrieta ('21)	8.1	134	21.2%	8.5%	1.01	3.98
Lance Lynn ('24)	10.0	154	23.7%	8.3%	1.04	3.74

Charlie Morton

Career Stats + Projections

How the minor-league lines were translated

Career Path Comps

Career Comps

			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
Charlie Morton (OGILVIE)	—	—	—	—	—	3.3%	—	5.04	22.1%	11.3%	46	+0.43	—	—	—
Francisco Campos R 2016 · 4.10 FIP	43	SP	4.10	12.4%	4.8%	2.6%	.272	4.74	11.2%	4.3%	115	+0.64	4.06	332	47
Juan Antonio Pena L 2019 · 4.56 FIP	41	SW	4.56	13.7%	14.1%	1.5%	.313	—	—	—	—	—	4.20	149	0