Cole Sturgeon

PosCF

B/TL/L

Born1991-09-17

Age (2027)35

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2018	26	AAA/AA/INTL3 orgs	530	.264/.343/.392	9	15	79	—	.235/.279/.320
2019	27	AAAPawtucket Red…	379	.277/.337/.426	10	6	77	—	.243/.291/.366
2022	30	AAA/AAMIN	486	.248/.320/.366	9	11	49	—	.200/.254/.287

Contract

No contract data on file.

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 these numbers are built

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2027 = full-season projection (no games played yet). 2028+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	MLB%	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2014	22	A	Greenville Drive	—	207	183	52	10	0	2	16	31	3	4	1	284	350	372	721	87	329	15	8	322	65	—	—	—	—	—	—
2015	23	AA	Portland Sea Dogs	—	144	133	27	8	1	0	5	30	0	3	3	203	232	278	510	75	260	21	3	220	25	—	—	—	—	—	—
2015	23	A+	Salem Red Sox	—	311	287	76	14	2	3	18	40	1	10	3	265	310	359	669	94	298	13	6	297	53	—	—	—	—	—	—
2016	24	AA	Portland Sea Dogs	—	457	427	114	18	4	6	23	61	5	6	9	267	312	370	682	103	300	13	5	305	57	—	—	—	—	—	—
2017	25	AA	Portland Sea Dogs	—	460	406	107	21	4	6	39	86	2	11	4	264	331	379	710	116	315	19	8	312	68	—	—	—	—	—	—
2018	26	AAA	Pawtucket Red Sox	—	263	238	51	6	1	3	19	61	2	8	2	214	278	286	564	71	274	23	7	256	28	—	—	—	—	—	—
2018	26	AA	Portland Sea Dogs	—	140	126	46	9	0	6	12	20	1	5	0	365	424	579	1.004	214	396	14	9	437	128	—	—	—	—	—	—
2018	26	INTL	Bravos de Margarita	—	127	105	27	8	4	0	22	27	0	2	2	257	386	410	795	152	346	21	17	359	129	—	—	—	—	—	—
2019	27	AAA	Pawtucket Red Sox	—	379	343	95	17	2	10	24	86	7	6	3	277	337	426	763	149	340	23	6	336	77	—	—	—	—	—	—
2022	30	AAA	St. Paul Saints	—	194	174	43	7	4	1	15	29	2	7	3	247	314	351	665	103	288	15	8	296	45	—	—	—	—	—	—
2022	30	AA	Wichita Wind Surge	—	292	261	65	9	0	8	26	45	3	4	2	249	324	375	700	126	271	15	9	315	51	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2014	22	A MLE	Greenville Drive	—	207	190	48	8	0	2	10	43	3	4	1	253	300	326	627	74	298	21	5	265	65	—	—	—	—	—	—
2015	23	AA MLE	Portland Sea Dogs	—	144	135	27	7	1	0	3	37	0	3	3	200	217	267	484	67	260	26	2	205	25	—	—	—	—	—	—
2015	23	A+ MLE	Salem Red Sox	—	311	294	68	12	1	3	11	59	1	10	3	231	261	310	571	78	272	19	4	247	53	—	—	—	—	—	—
2016	24	AA MLE	Portland Sea Dogs	—	457	436	102	15	4	3	14	75	5	6	9	234	266	307	573	73	275	16	3	252	57	—	—	—	—	—	—
2017	25	AA MLE	Portland Sea Dogs	—	460	420	102	17	4	5	25	108	2	11	4	243	289	338	627	95	294	23	5	268	68	—	—	—	—	—	—
2018	26	AAA MLE	Pawtucket Red Sox	—	263	245	47	5	1	2	12	74	2	8	2	192	236	245	480	53	255	28	5	210	28	—	—	—	—	—	—
2018	26	AA MLE	Portland Sea Dogs	—	140	130	41	7	0	4	8	25	1	5	0	315	360	462	821	146	364	18	6	358	128	—	—	—	—	—	—
2019	27	AAA MLE	Pawtucket Red Sox	—	379	350	85	15	2	8	17	103	7	6	3	243	291	366	657	123	308	27	4	282	77	—	—	—	—	—	—
2022	30	AAA MLE	St. Paul Saints	—	194	179	36	5	3	1	10	36	2	7	3	201	251	279	531	78	239	19	5	234	45	—	—	—	—	—	—
2022	30	AA MLE	Wichita Wind Surge	—	292	270	54	7	0	6	17	57	3	4	2	200	255	293	548	93	226	20	6	243	51	—	—	—	—	—	—
2014	22	A MLE	Greenville Drive	—	207	190	48	8	0	2	10	43	3	4	1	253	300	326	627	74	313	21	5	265	65	—	—	—	—	—	—
2014	22	A RAW	Greenville Drive	—	207	183	52	10	0	2	16	31	3	4	1	284	350	372	721	87	329	15	8	322	65	—	—	—	—	—	—
2015	23	A+ MLE	2 teams	—	455	429	95	19	2	3	14	96	1	13	6	221	248	296	544	75	277	21	3	234	44	—	—	—	—	—	—
2015	23	A+ RAW	2 teams	—	455	420	103	22	3	3	23	70	1	13	6	245	286	333	619	88	287	15	5	273	44	—	—	—	—	—	—
2016	24	AA MLE	Portland Sea Dogs	—	457	436	102	15	4	3	14	75	5	6	9	234	266	307	573	73	277	16	3	252	57	—	—	—	—	—	—
2016	24	AA RAW	Portland Sea Dogs	—	457	427	114	18	4	6	23	61	5	6	9	267	312	370	682	103	300	13	5	305	57	—	—	—	—	—	—
2017	25	AA MLE	Portland Sea Dogs	—	460	420	102	17	4	5	25	108	2	11	4	243	289	338	627	95	309	23	5	268	68	—	—	—	—	—	—
2017	25	AA RAW	Portland Sea Dogs	—	460	406	107	21	4	6	39	86	2	11	4	264	331	379	710	116	315	19	8	312	68	—	—	—	—	—	—
2018	26	AAA MLE	3 teams	—	530	496	116	16	1	8	26	129	3	15	4	234	276	319	595	85	299	24	5	261	63	—	—	—	—	—	—
2018	26	AAA RAW	3 teams	—	530	469	124	23	5	9	53	108	3	15	4	264	343	392	735	128	325	20	10	329	63	—	—	—	—	—	—
2019	27	AAA MLE	Pawtucket Red Sox	—	379	350	85	15	2	8	17	103	7	6	3	243	291	366	657	123	318	27	4	282	77	—	—	—	—	—	—
2019	27	AAA RAW	Pawtucket Red Sox	—	379	343	95	17	2	10	24	86	7	6	3	277	337	426	763	149	340	23	6	336	77	—	—	—	—	—	—
2022	30	AA MLE	2 teams	—	486	449	90	12	3	7	27	93	5	11	5	200	254	287	541	87	235	19	6	239	48	—	—	—	—	—	—
2022	30	AA RAW	2 teams	—	486	435	108	16	4	9	41	74	5	11	5	248	320	366	686	117	278	15	8	308	48	—	—	—	—	—	—
2014	22	A MLE	Greenville Drive	—	207	192	48	8	0	2	10	43	3	4	1	250	300	323	623	73	298	21	5	265	65	—	—	—	—	—	—
2015	23	A+ MLE	2 teams	—	455	437	95	19	2	3	14	96	1	13	6	217	248	291	538	73	268	21	3	234	44	—	—	—	—	—	—
2016	24	AA MLE	Portland Sea Dogs	—	457	435	102	15	4	3	14	75	5	6	9	234	266	308	574	74	275	16	3	252	57	—	—	—	—	—	—
2017	25	AA MLE	Portland Sea Dogs	—	460	430	102	17	4	5	25	108	2	11	4	237	289	330	619	93	294	23	5	268	68	—	—	—	—	—	—
2018	26	AAA MLE	3 teams	—	530	496	116	16	1	8	26	129	3	15	4	234	276	319	595	85	293	24	5	261	63	—	—	—	—	—	—
2019	27	AAA MLE	Pawtucket Red Sox	—	379	352	85	15	2	8	17	103	7	6	3	241	291	364	655	122	308	27	4	282	77	—	—	—	—	—	—
2022	30	AA MLE	2 teams	—	486	451	90	12	3	7	27	93	5	11	5	200	254	286	540	86	231	19	6	239	48	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2974	2770	638	102	16	36	133	647	26	66	32	230	272	318	590	87	286	22	4	256	59	-144	+0	+0	+11	+64	-7.0
/ 162G	—	MLE		—	650	605	139	22	3	8	29	141	6	14	7	230	271	316	587	86	285	22	4	256	59	-31	+0	+0	+2	+14	-1.5

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.

2022 AAWichita Wind Surge · 292 PAwOBA .309 → .243 (−66)K% 15.4% → 19.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.41%	÷0.958	×1.220	—	—	19.63%
BB% (unintentional) /PA	8.90%	÷0.991	×0.700	—	×0.940	5.91%
HBP% /PA	1.03%	—	×0.870	—	×0.940	0.84%
Singles /BIP	22.22%	÷1.018	×0.920	×1.000	×0.940	18.89%
Doubles /BIP	4.17%	÷1.001	×0.840	×1.000	×0.940	3.29%
Triples /BIP	0.00%	÷1.150	×0.940	×1.000	×0.940	0.00%
Home runs /BIP	3.70%	÷0.985	×0.800	—	×0.940	2.83%

Factors used: league row TL. Park (home-season share, regressed): HR 97, 1B 104, 2B 100, 3B 130, K 92, BB 98 — applied at half strength. Age: age 31 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.000.

Result: wOBA .309 → .243; ISO .126 → .097; BABIP .271 → .226. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AAASt. Paul Saints · 194 PAwOBA .292 → .234 (−58)K% 14.9% → 18.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.95%	÷0.981	×1.200	—	—	18.28%
BB% (unintentional) /PA	7.73%	÷1.012	×0.690	—	×0.962	5.07%
HBP% /PA	1.03%	—	×0.940	—	×0.962	0.93%
Singles /BIP	21.38%	÷1.000	×0.930	×0.968	×0.962	18.51%
Doubles /BIP	4.83%	÷1.079	×0.830	×0.968	×0.962	3.46%
Triples /BIP	2.76%	÷1.150	×0.970	×0.968	×0.962	2.17%
Home runs /BIP	0.69%	÷0.881	×0.700	—	×0.962	0.53%

Factors used: league row International League. Park (home-season share, regressed): HR 76, 1B 100, 2B 116, 3B 130, K 96, BB 102 — applied at half strength. Age: age 31 vs a level average of 27.2 → −3.8% on BB/HBP/hit rates (3.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.

Result: wOBA .292 → .234; ISO .103 → .079; BABIP .288 → .239. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2019 AAAPawtucket Red Sox · 379 PAwOBA .330 → .282 (−48)K% 22.7% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.69%	÷1.002	×1.200	—	—	27.18%
BB% (unintentional) /PA	6.33%	÷0.963	×0.690	—	×0.992	4.50%
HBP% /PA	1.85%	—	×0.940	—	×0.992	1.72%
Singles /BIP	25.68%	÷0.953	×0.930	×0.950	×0.992	23.61%
Doubles /BIP	6.61%	÷0.896	×0.830	×0.950	×0.992	5.77%
Triples /BIP	0.78%	÷0.900	×0.970	×0.950	×0.992	0.79%
Home runs /BIP	3.89%	÷1.038	×0.840	—	×0.992	3.13%

Factors used: league row IL. Park (home-season share, regressed): HR 108, 1B 91, 2B 79, 3B 80, K 100, BB 93 — applied at half strength. Age: age 28 vs a level average of 27.2 → −0.8% on BB/HBP/hit rates (0.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .330 → .282; ISO .149 → .123; BABIP .340 → .308. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAAPawtucket Red Sox · 263 PAwOBA .249 → .210 (−39)K% 23.2% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.19%	÷0.994	×1.200	—	—	27.99%
BB% (unintentional) /PA	6.84%	÷1.082	×0.690	—	×1.003	4.38%
HBP% /PA	0.76%	—	×0.940	—	×1.003	0.72%
Singles /BIP	23.16%	÷1.000	×0.930	×1.019	×1.003	22.03%
Doubles /BIP	3.39%	÷1.067	×0.830	×1.019	×1.003	2.70%
Triples /BIP	0.56%	÷0.900	×0.970	×1.019	×1.003	0.62%
Home runs /BIP	1.69%	÷1.342	×0.840	—	×1.003	1.06%

Factors used: league row IL. Park (home-season share, regressed): HR 168, 1B 100, 2B 113, 3B 80, K 99, BB 116 — applied at half strength. Age: age 27 vs a level average of 27.2 → +0.3% on BB/HBP/hit rates (0.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.019.

Result: wOBA .249 → .210; ISO .071 → .053; BABIP .274 → .255. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2018 AAPortland Sea Dogs · 140 PAwOBA .428 → .358 (−70)K% 14.3% → 17.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷0.982	×1.220	—	—	17.75%
BB% (unintentional) /PA	8.57%	÷1.051	×0.700	—	×0.978	5.58%
HBP% /PA	0.71%	—	×0.850	—	×0.978	0.59%
Singles /BIP	29.25%	÷1.001	×0.970	×1.027	×0.978	28.46%
Doubles /BIP	8.49%	÷1.052	×0.860	×1.027	×0.978	6.97%
Triples /BIP	0.00%	÷1.150	×0.950	×1.027	×0.978	0.00%
Home runs /BIP	5.66%	÷1.166	×0.780	—	×0.978	3.70%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 100, 2B 110, 3B 130, K 96, BB 110 — applied at half strength. Age: age 27 vs a level average of 24.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .428 → .358; ISO .214 → .153; BABIP .396 → .364. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2017 AAPortland Sea Dogs · 460 PAwOBA .308 → .268 (−40)K% 18.7% → 23.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.70%	÷0.974	×1.220	—	—	23.41%
BB% (unintentional) /PA	8.48%	÷1.067	×0.700	—	×0.988	5.49%
HBP% /PA	0.43%	—	×0.850	—	×0.988	0.37%
Singles /BIP	23.75%	÷0.984	×0.970	×1.008	×0.988	23.30%
Doubles /BIP	6.56%	÷1.085	×0.860	×1.008	×0.988	5.18%
Triples /BIP	1.25%	÷1.010	×0.950	×1.008	×0.988	1.17%
Home runs /BIP	1.88%	÷1.020	×0.780	—	×0.988	1.42%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 97, 2B 117, 3B 102, K 95, BB 114 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .308 → .268; ISO .116 → .094; BABIP .315 → .294. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2016 AAPortland Sea Dogs · 457 PAwOBA .296 → .252 (−44)K% 13.3% → 16.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.35%	÷0.985	×1.220	—	—	16.53%
BB% (unintentional) /PA	4.60%	÷1.050	×0.700	—	×0.998	3.06%
HBP% /PA	1.09%	—	×0.850	—	×0.998	0.93%
Singles /BIP	23.50%	÷1.040	×0.970	×1.003	×0.998	21.95%
Doubles /BIP	4.92%	÷0.997	×0.860	×1.003	×0.998	4.25%
Triples /BIP	1.09%	÷1.031	×0.950	×1.003	×0.998	1.01%
Home runs /BIP	1.64%	÷1.371	×0.780	—	×0.998	0.93%

Factors used: league row EL. Park (home-season share, regressed): HR 174, 1B 108, 2B 99, 3B 106, K 97, BB 110 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.003.

Result: wOBA .296 → .252; ISO .103 → .077; BABIP .300 → .275. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2015 A+Salem Red Sox · 311 PAwOBA .290 → .247 (−43)K% 12.9% → 19.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.86%	÷0.960	×1.420	—	—	19.02%
BB% (unintentional) /PA	5.79%	÷1.036	×0.630	—	×0.988	3.48%
HBP% /PA	0.32%	—	×0.860	—	×0.988	0.27%
Singles /BIP	23.08%	÷1.026	×0.940	×1.029	×0.988	21.49%
Doubles /BIP	5.67%	÷0.970	×0.830	×1.029	×0.988	4.93%
Triples /BIP	0.81%	÷1.150	×0.800	×1.029	×0.988	0.57%
Home runs /BIP	1.21%	÷0.841	×0.900	—	×0.988	1.28%

Factors used: league row CAR. Park (home-season share, regressed): HR 68, 1B 105, 2B 94, 3B 130, K 92, BB 107 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .290 → .247; ISO .094 → .083; BABIP .298 → .272. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .