Cole Freeman

Pos2B

B/TR/R

Born1994-09-27

Age (2027)32

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2019	24	A+/INTL2 orgs	584	.304/.389/.391	3	32	78	—	.266/.327/.342
2021	26	AAWSH	440	.267/.328/.340	5	15	61	—	.241/.293/.298
2022	27	AAAWSH	162	.243/.301/.347	2	15	57	—	.224/.269/.306

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)
2018	23	A	Hagerstown Suns	—	522	447	119	32	3	3	47	59	16	26	8	266	357	371	728	105	298	11	9	326	63	—	—	—	—	—	—
2019	24	A+	Potomac Nationals	—	534	453	141	27	3	3	53	60	11	31	6	311	397	404	800	93	351	11	10	353	80	—	—	—	—	—	—
2019	24	INTL	Surprise Saguaros	—	50	43	10	1	0	0	3	9	2	1	3	233	312	256	568	23	286	18	6	260	62	—	—	—	—	—	—
2021	26	AA	Harrisburg Senators	—	440	397	106	14	0	5	22	47	14	15	5	267	328	340	668	73	290	11	5	302	61	—	—	—	—	—	—
2022	27	AAA	Rochester Red Wings	—	162	144	35	7	1	2	9	20	3	15	3	243	301	347	649	104	268	12	6	283	57	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2018	23	A MLE	Hagerstown Suns	—	522	464	103	27	2	2	30	80	16	26	8	222	292	302	594	80	253	15	6	261	63	—	—	—	—	—	—
2019	24	A+ MLE	Potomac Nationals	—	534	474	126	23	2	3	32	87	11	31	6	266	327	342	669	76	302	16	6	287	80	—	—	—	—	—	—
2021	26	AA MLE	Harrisburg Senators	—	440	403	97	11	0	4	16	59	14	15	5	241	293	298	591	57	264	13	4	258	61	—	—	—	—	—	—
2022	27	AAA MLE	Rochester Red Wings	—	162	147	33	7	1	1	6	23	3	15	3	224	269	306	575	82	248	14	4	252	57	—	—	—	—	—	—
2018	23	A MLE	Hagerstown Suns	—	522	464	103	27	2	2	30	80	16	26	8	222	292	302	594	80	262	15	6	261	63	—	—	—	—	—	—
2018	23	A RAW	Hagerstown Suns	—	522	447	119	32	3	3	47	59	16	26	8	266	357	371	728	105	298	11	9	326	63	—	—	—	—	—	—
2019	24	A+ MLE	2 teams	—	584	518	137	25	2	3	34	95	13	32	9	264	326	338	664	73	316	16	6	287	80	—	—	—	—	—	—
2019	24	A+ RAW	2 teams	—	584	496	151	28	3	3	56	69	13	32	9	304	389	391	781	87	346	12	10	345	80	—	—	—	—	—	—
2021	26	AA MLE	Harrisburg Senators	—	440	403	97	11	0	4	16	59	14	15	5	241	293	298	591	57	271	13	4	258	61	—	—	—	—	—	—
2021	26	AA RAW	Harrisburg Senators	—	440	397	106	14	0	5	22	47	14	15	5	267	328	340	668	73	290	11	5	302	61	—	—	—	—	—	—
2022	27	AAA MLE	Rochester Red Wings	—	162	147	33	7	1	1	6	23	3	15	3	224	269	306	575	82	258	14	4	252	57	—	—	—	—	—	—
2022	27	AAA RAW	Rochester Red Wings	—	162	144	35	7	1	2	9	20	3	15	3	243	301	347	649	104	268	12	6	283	57	—	—	—	—	—	—
2018	23	A MLE	Hagerstown Suns	—	522	471	103	27	2	2	30	80	16	26	8	219	292	297	589	79	253	15	6	261	63	—	—	—	—	—	—
2019	24	A+ MLE	2 teams	—	584	532	137	25	2	3	34	95	13	32	9	258	326	329	655	71	302	16	6	287	80	—	—	—	—	—	—
2021	26	AA MLE	Harrisburg Senators	—	440	407	97	11	0	4	16	59	14	15	5	238	293	295	588	57	264	13	4	258	61	—	—	—	—	—	—
2022	27	AAA MLE	Rochester Red Wings	—	162	152	33	7	1	1	6	23	3	15	3	217	269	296	565	79	248	14	4	252	57	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	1708	1532	370	70	5	10	86	257	46	88	25	242	302	313	615	72	282	15	5	268	68	-66	+8	+0	+6	+37	-1.5
/ 162G	—	MLE		—	650	583	141	27	2	4	33	98	18	33	10	242	303	316	619	74	282	15	5	268	68	-25	+3	+0	+2	+14	-0.6

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 AAARochester Red Wings · 162 PAwOBA .277 → .252 (−25)K% 12.3% → 14.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.35%	÷1.049	×1.200	—	—	14.13%
BB% (unintentional) /PA	5.56%	÷0.973	×0.690	—	×0.992	3.91%
HBP% /PA	1.85%	—	×0.940	—	×0.992	1.73%
Singles /BIP	20.16%	÷1.011	×0.930	×1.020	×0.992	18.77%
Doubles /BIP	5.65%	÷0.930	×0.830	×1.020	×0.992	5.10%
Triples /BIP	0.81%	÷0.913	×0.970	×1.020	×0.992	0.87%
Home runs /BIP	1.61%	÷1.084	×0.700	—	×0.992	1.03%

Factors used: league row International League. Park (home-season share, regressed): HR 117, 1B 102, 2B 86, 3B 83, K 110, BB 95 — 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 ×1.020.

Result: wOBA .277 → .252; ISO .104 → .090; BABIP .268 → .248. 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).

2021 AAHarrisburg Senators · 440 PAwOBA .296 → .258 (−37)K% 10.7% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.68%	÷0.980	×1.220	—	—	13.30%
BB% (unintentional) /PA	5.00%	÷0.948	×0.690	—	×0.978	3.56%
HBP% /PA	3.18%	—	×0.850	—	×0.978	2.65%
Singles /BIP	24.86%	÷0.967	×0.940	×0.982	×0.978	23.20%
Doubles /BIP	4.00%	÷1.055	×0.870	×0.982	×0.978	3.17%
Triples /BIP	0.00%	÷1.150	×0.920	×0.982	×0.978	0.00%
Home runs /BIP	1.43%	÷1.037	×0.780	—	×0.978	1.05%

Factors used: level-wide AA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 93, 2B 111, 3B 130, K 96, BB 90 — 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 ×0.982.

Result: wOBA .296 → .258; ISO .073 → .056; BABIP .290 → .264. 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 A+Potomac Nationals · 534 PAwOBA .346 → .287 (−59)K% 11.2% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.24%	÷0.983	×1.420	—	—	16.23%
BB% (unintentional) /PA	9.74%	÷1.023	×0.630	—	×0.978	5.86%
HBP% /PA	2.06%	—	×0.860	—	×0.978	1.73%
Singles /BIP	27.48%	÷1.000	×0.940	×0.950	×0.978	23.99%
Doubles /BIP	6.87%	÷0.928	×0.830	×0.950	×0.978	5.71%
Triples /BIP	0.76%	÷1.079	×0.800	×0.950	×0.978	0.53%
Home runs /BIP	0.76%	÷0.988	×0.900	—	×0.978	0.68%

Factors used: league row CAR. Park (home-season share, regressed): HR 98, 1B 100, 2B 86, 3B 116, K 97, BB 105 — applied at half strength. Age: age 25 vs a level average of 22.8 → −2.2% on BB/HBP/hit rates (2.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .346 → .287; ISO .093 → .079; BABIP .351 → .302. 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 AHagerstown Suns · 522 PAwOBA .319 → .261 (−58)K% 11.3% → 15.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.30%	÷0.992	×1.340	—	—	15.26%
BB% (unintentional) /PA	8.81%	÷0.983	×0.660	—	×0.980	5.80%
HBP% /PA	3.07%	—	×0.770	—	×0.980	2.31%
Singles /BIP	20.88%	÷1.013	×0.920	×0.968	×0.980	17.99%
Doubles /BIP	8.25%	÷0.941	×0.820	×0.968	×0.980	6.82%
Triples /BIP	0.77%	÷1.150	×0.940	×0.968	×0.980	0.60%
Home runs /BIP	0.77%	÷1.108	×0.820	—	×0.980	0.56%

Factors used: league row SAL. Park (home-season share, regressed): HR 122, 1B 103, 2B 88, 3B 130, K 98, BB 97 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.968.

Result: wOBA .319 → .261; ISO .105 → .087; BABIP .298 → .253. 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 — .