Ben Paulsen

Pos1B

B/TL/R

Born1987-10-27

Age (2027)39

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	27	AAACOL	141	.256/.340/.424	3	1	55	—	.200/.262/.323
2015	27	MLBCOL	354	.277/.329/.462	11	1	107	-0.2
2016	28	AAA/INTL2 orgs	340	.260/.317/.404	6	1	42	—	.205/.244/.306
2016	28	MLBCOL	97	.217/.258/.304	1	0	48	-1.5
2017	29	AAAWSH	79	.230/.278/.432	3	0	49	—	.195/.215/.377
2018	30	No MLB games played
2019	31	No MLB games played
2020	32	No MLB games played
2021	33	No MLB games played
2022	34	No MLB games played
2023	35	No MLB games played
2024	36	No MLB games played
2025	37	No MLB games played
2026	38	No MLB games played

Last 3 seasons WAR -1.7

Contract

No contract data on file.

Skills · percentileStatcast 2015-2016

xwOBA37

Speed36

Avg EV34

Barrel%30

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)
2010	22	A+	Modesto Nuts	—	541	498	155	29	8	12	33	113	3	5	4	311	358	474	832	163	376	21	6	363	88	—	—	—	—	—	—
2011	23	AA	Tulsa Drillers	—	597	547	132	29	4	19	40	132	4	2	3	241	298	413	711	172	282	22	7	312	63	—	—	—	—	—	—
2011	23	INTL	Salt River Rafters	—	98	90	24	8	1	0	7	19	1	0	0	267	327	378	704	111	338	19	7	317	101	—	—	—	—	—	—
2012	24	AA	Tulsa Drillers	—	478	436	111	18	3	13	37	113	2	1	4	255	316	399	715	144	313	24	8	318	59	—	—	—	—	—	—
2013	25	AAA	Colorado Springs Sky Sox	—	502	459	134	32	10	18	37	128	2	2	2	292	347	523	870	231	366	25	7	376	78	—	—	—	—	—	—
2014	26	MLB	Colorado Rockies	—	66	63	20	4	0	4	2	19	1	0	0	317	348	571	920	254	400	29	3	401	135	+3	+0	-0	-10	+1	-0.6
2014	26	AAA	Colorado Springs Sky Sox	—	497	435	128	32	6	20	58	119	2	4	5	294	380	533	913	239	362	24	12	398	87	—	—	—	—	—	—
2015	27	MLB	Colorado Rockies	—	354	325	90	19	4	11	23	92	2	1	2	277	329	462	790	185	351	26	6	344	107	+3	-1	-3	-9	+8	-0.2
2015	27	AAA	Albuquerque Isotopes	—	141	125	32	8	2	3	15	34	1	1	0	256	340	424	764	168	330	24	11	341	55	—	—	—	—	—	—
2016	28	MLB	Colorado Rockies	—	97	92	20	5	0	1	5	27	0	0	0	217	258	304	562	87	297	28	5	254	48	-6	+0	-3	-8	+2	-1.5
2016	28	AAA	Albuquerque Isotopes	—	314	288	80	17	5	6	24	64	0	1	0	278	333	434	767	156	336	20	8	338	50	—	—	—	—	—	—
2016	28	INTL	Leones del Escogido	—	26	24	1	0	0	0	2	7	0	0	0	42	115	42	157		59	27	8	88	-54	—	—	—	—	—	—
2017	29	AAA	Rochester Red Wings	—	79	74	17	6	0	3	5	16	0	0	0	230	278	432	711	203	255	20	6	312	49	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	517	480	130	28	4	16	30	138	3	1	2	271	318	446	764	175	347	27	6	335	113	+8	-1	-6	-27	+11	-1.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	22	A+ MLE	Modesto Nuts	—	541	511	134	24	6	11	20	151	3	5	4	262	294	397	691	135	336	28	4	298	88	—	—	—	—	—	—
2011	23	AA MLE	Tulsa Drillers	—	597	563	121	25	4	14	24	162	4	2	3	215	252	348	600	133	270	27	4	262	63	—	—	—	—	—	—
2012	24	AA MLE	Tulsa Drillers	—	478	450	96	14	3	11	23	147	2	1	4	213	255	331	586	118	286	31	5	256	59	—	—	—	—	—	—
2013	25	AAA MLE	Colorado Springs Sky Sox	—	502	471	106	25	7	13	25	176	2	2	2	225	267	391	658	166	320	35	5	283	78	—	—	—	—	—	—
2014	26	MLB MLE	Colorado Rockies	—	66	64	20	4	0	4	1	19	1	0	0	312	333	562	896	250	400	29	2	368	135	+3	+0	-0	-10	+1	-0.6
2014	26	AAA MLE	Colorado Springs Sky Sox	—	497	457	103	24	4	15	36	165	2	4	5	225	285	394	679	168	312	33	7	297	87	—	—	—	—	—	—
2015	27	MLB MLE	Colorado Rockies	—	354	325	85	18	3	10	23	92	2	1	2	262	314	428	742	166	351	26	6	326	107	+3	-1	-3	-9	+8	-0.2
2015	27	AAA MLE	Albuquerque Isotopes	—	141	130	26	6	2	2	10	46	1	1	0	200	262	323	585	123	283	33	7	250	55	—	—	—	—	—	—
2016	28	MLB MLE	Colorado Rockies	—	97	93	20	5	0	1	4	27	0	0	0	215	247	301	548	86	297	28	4	239	48	-6	+0	-3	-8	+2	-1.5
2016	28	AAA MLE	Albuquerque Isotopes	—	314	297	61	12	3	4	15	87	0	1	0	205	244	306	550	101	275	28	5	242	50	—	—	—	—	—	—
2017	29	AAA MLE	Rochester Red Wings	—	79	77	15	5	0	3	2	19	0	0	0	195	215	377	592	182	214	24	3	240	49	—	—	—	—	—	—
2010	22	A+ MLE	Modesto Nuts	—	541	511	134	24	6	11	20	151	3	5	4	262	294	397	691	135	346	28	4	298	88	—	—	—	—	—	—
2010	22	A+ RAW	Modesto Nuts	—	541	498	155	29	8	12	33	113	3	5	4	311	358	474	832	163	376	21	6	363	88	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	695	656	141	30	4	16	28	189	5	2	3	215	253	346	599	131	275	27	4	262	63	—	—	—	—	—	—
2011	23	AA RAW	2 teams	—	695	637	156	37	5	19	47	151	5	2	3	245	302	408	710	163	291	22	7	313	63	—	—	—	—	—	—
2012	24	AA MLE	Tulsa Drillers	—	478	450	96	14	3	11	23	147	2	1	4	213	255	331	586	118	288	31	5	256	59	—	—	—	—	—	—
2012	24	AA RAW	Tulsa Drillers	—	478	436	111	18	3	13	37	113	2	1	4	255	316	399	715	144	313	24	8	318	59	—	—	—	—	—	—
2013	25	AAA MLE	Colorado Springs Sky Sox	—	502	471	106	25	7	13	25	176	2	2	2	225	267	391	658	166	325	35	5	283	78	—	—	—	—	—	—
2013	25	AAA RAW	Colorado Springs Sky Sox	—	502	459	134	32	10	18	37	128	2	2	2	292	347	523	870	231	366	25	7	376	78	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	563	521	122	28	4	19	37	184	3	4	5	234	289	413	701	179	322	33	7	305	93	—	—	—	—	—	—
2014	26	AAA RAW	2 teams	—	563	498	148	36	6	24	60	138	3	4	5	297	376	538	914	241	367	25	11	398	93	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	495	455	110	24	4	12	33	138	3	2	2	242	297	391	689	149	318	28	7	304	92	-5	-0	-3	-9	+11	-0.7
2015	27	MLB RAW	2 teams	—	495	450	122	27	6	14	38	126	3	2	2	271	332	451	783	180	345	25	8	344	92	-5	-0	-3	-9	+11	-0.7
2016	28	AAA MLE	3 teams	—	437	414	85	18	3	5	21	121	0	1	0	205	244	300	543	94	276	28	5	241	49	—	—	—	—	—	—
2016	28	AAA RAW	3 teams	—	437	404	101	22	5	7	31	98	0	1	0	250	303	381	685	131	312	22	7	305	49	—	—	—	—	—	—
2017	29	AAA MLE	Rochester Red Wings	—	79	77	15	5	0	3	2	19	0	0	0	195	215	377	592	182	218	24	3	240	49	—	—	—	—	—	—
2017	29	AAA RAW	Rochester Red Wings	—	79	74	17	6	0	3	5	16	0	0	0	230	278	432	711	203	255	20	6	312	49	—	—	—	—	—	—
2010	22	A+ MLE	Modesto Nuts	—	541	513	134	24	6	11	20	151	3	5	4	261	294	396	690	135	336	28	4	298	88	—	—	—	—	—	—
2011	23	AA MLE	2 teams	—	695	657	141	30	4	16	28	189	5	2	3	215	253	346	598	131	270	27	4	262	63	—	—	—	—	—	—
2012	24	AA MLE	Tulsa Drillers	—	478	450	96	14	3	11	23	147	2	1	4	213	255	331	586	118	286	31	5	256	59	—	—	—	—	—	—
2013	25	AAA MLE	Colorado Springs Sky Sox	—	502	470	106	25	7	13	25	176	2	2	2	226	267	391	659	166	320	35	5	283	78	—	—	—	—	—	—
2014	26	AAA MLE	2 teams	—	563	518	122	28	4	19	37	184	3	4	5	236	289	415	704	180	322	33	7	305	93	—	—	—	—	—	—
2015	27	MLB MLE	2 teams	—	495	456	110	24	4	12	33	138	3	2	2	241	297	390	688	149	332	28	7	304	92	—	—	—	—	—	—
2016	28	AAA MLE	3 teams	—	437	413	85	18	3	5	21	121	0	1	0	206	244	300	544	94	280	28	5	241	49	—	—	—	—	—	—
2017	29	AAA MLE	Rochester Red Wings	—	79	77	15	5	0	3	2	19	0	0	0	195	215	377	592	182	214	24	3	240	49	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	517	480	130	28	4	16	30	138	3	1	2	271	318	446	764	175	347	27	6	335	74	+8	-1	-6	-27	+11	-1.4
/ 162G	—	A+C		—	650	603	163	35	5	20	38	174	4	1	3	270	318	444	762	174	346	27	6	335	74	+10	-1	-7	-34	+14	-1.8
Career	—	MLE		—	3790	3555	809	168	31	90	189	1125	18	17	20	228	270	368	638	141	304	30	5	278	74	+8	-1	-6	-27	+11	-1.4
/ 162G	—	MLE		—	650	610	138	29	5	15	32	193	3	3	3	226	268	364	632	138	303	30	5	278	74	+10	-1	-7	-34	+14	-1.8

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 AAARochester Red Wings · 79 PAwOBA .298 → .240 (−58)K% 20.3% → 24.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.25%	÷0.997	×1.200	—	—	24.38%
BB% (unintentional) /PA	5.06%	÷1.080	×0.690	—	×0.972	3.15%
HBP% /PA	0.00%	—	×0.940	—	×0.972	0.00%
Singles /BIP	13.79%	÷1.019	×0.930	×1.026	×0.972	12.55%
Doubles /BIP	10.34%	÷1.085	×0.830	×1.026	×0.972	7.89%
Triples /BIP	0.00%	÷1.085	×0.970	×1.026	×0.972	0.00%
Home runs /BIP	5.17%	÷0.956	×0.840	—	×0.972	4.42%

Factors used: league row IL. Park (home-season share, regressed): HR 91, 1B 104, 2B 117, 3B 117, K 99, BB 116 — applied at half strength. Age: age 30 vs a level average of 27.2 → −2.8% on BB/HBP/hit rates (2.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.026.

Result: wOBA .298 → .240; ISO .203 → .164; BABIP .255 → .214. 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 AAAAlbuquerque Isotopes · 314 PAwOBA .331 → .242 (−89)K% 20.4% → 27.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.38%	÷0.948	×1.290	—	—	27.72%
BB% (unintentional) /PA	7.64%	÷1.083	×0.710	—	×0.982	4.92%
HBP% /PA	0.00%	—	×0.980	—	×0.982	0.00%
Singles /BIP	23.21%	÷1.032	×0.900	×1.005	×0.982	19.99%
Doubles /BIP	7.59%	÷1.050	×0.810	×1.005	×0.982	5.78%
Triples /BIP	2.23%	÷1.150	×0.810	×1.005	×0.982	1.55%
Home runs /BIP	2.68%	÷1.202	×0.780	—	×0.982	1.71%

Factors used: league row PCL. Park (home-season share, regressed): HR 140, 1B 106, 2B 110, 3B 130, K 90, BB 117 — applied at half strength. Age: age 29 vs a level average of 27.2 → −1.8% on BB/HBP/hit rates (1.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.005.

Result: wOBA .331 → .242; ISO .156 → .103; BABIP .336 → .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 AAAAlbuquerque Isotopes · 141 PAwOBA .333 → .250 (−83)K% 24.1% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.11%	÷0.960	×1.290	—	—	32.41%
BB% (unintentional) /PA	10.64%	÷1.056	×0.710	—	×0.992	7.09%
HBP% /PA	0.71%	—	×0.980	—	×0.992	0.69%
Singles /BIP	20.88%	÷1.010	×0.900	×1.025	×0.992	18.93%
Doubles /BIP	8.79%	÷1.075	×0.810	×1.025	×0.992	6.74%
Triples /BIP	2.20%	÷0.933	×0.810	×1.025	×0.992	1.94%
Home runs /BIP	3.30%	÷1.105	×0.780	—	×0.992	2.31%

Factors used: league row PCL. Park (home-season share, regressed): HR 121, 1B 102, 2B 115, 3B 87, K 92, BB 111 — 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 ×1.025.

Result: wOBA .333 → .250; ISO .168 → .118; BABIP .330 → .283. 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).

2014 AAAColorado Springs Sky Sox · 497 PAwOBA .386 → .297 (−90)K% 23.9% → 33.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.94%	÷0.934	×1.290	—	—	33.07%
BB% (unintentional) /PA	10.87%	÷1.055	×0.710	—	×1.003	7.34%
HBP% /PA	0.40%	—	×0.980	—	×1.003	0.40%
Singles /BIP	22.15%	÷1.005	×0.900	×1.020	×1.003	20.30%
Doubles /BIP	10.13%	÷1.028	×0.810	×1.020	×1.003	8.17%
Triples /BIP	1.90%	÷1.150	×0.810	×1.020	×1.003	1.37%
Home runs /BIP	6.33%	÷0.964	×0.780	—	×1.003	5.14%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 101, 2B 106, 3B 130, K 87, BB 111 — 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 ×1.020.

Result: wOBA .386 → .297; ISO .239 → .178; BABIP .362 → .312. 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).

2013 AAAColorado Springs Sky Sox · 502 PAwOBA .368 → .283 (−85)K% 25.5% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.50%	÷0.941	×1.290	—	—	34.97%
BB% (unintentional) /PA	6.97%	÷1.000	×0.710	—	×1.018	5.04%
HBP% /PA	0.40%	—	×0.980	—	×1.018	0.40%
Singles /BIP	22.36%	÷1.031	×0.900	×1.022	×1.018	20.30%
Doubles /BIP	9.67%	÷0.967	×0.810	×1.022	×1.018	8.43%
Triples /BIP	3.02%	÷1.071	×0.810	×1.022	×1.018	2.38%
Home runs /BIP	5.44%	÷1.022	×0.780	—	×1.018	4.22%

Factors used: league row PCL. Park (home-season share, regressed): HR 104, 1B 106, 2B 93, 3B 114, K 88, BB 100 — applied at half strength. Age: age 26 vs a level average of 27.2 → +1.8% on BB/HBP/hit rates (1.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.022.

Result: wOBA .368 → .283; ISO .231 → .169; BABIP .366 → .320. 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).

2012 AATulsa Drillers · 478 PAwOBA .309 → .256 (−52)K% 23.6% → 30.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.64%	÷0.939	×1.220	—	—	30.73%
BB% (unintentional) /PA	7.11%	÷1.009	×0.700	—	×0.998	4.92%
HBP% /PA	0.42%	—	×0.870	—	×0.998	0.36%
Singles /BIP	23.84%	÷1.005	×0.920	×1.023	×0.998	22.29%
Doubles /BIP	5.57%	÷1.018	×0.840	×1.023	×0.998	4.70%
Triples /BIP	0.93%	÷0.953	×0.940	×1.023	×0.998	0.94%
Home runs /BIP	4.02%	÷0.929	×0.800	—	×0.998	3.46%

Factors used: league row TL. Park (home-season share, regressed): HR 86, 1B 101, 2B 104, 3B 91, K 88, BB 102 — 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 ×1.023.

Result: wOBA .309 → .256; ISO .144 → .119; BABIP .313 → .286. 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).

2011 AATulsa Drillers · 597 PAwOBA .302 → .262 (−40)K% 22.1% → 27.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.11%	÷0.992	×1.220	—	—	27.20%
BB% (unintentional) /PA	5.70%	÷0.992	×0.700	—	×1.012	4.07%
HBP% /PA	0.67%	—	×0.870	—	×1.012	0.59%
Singles /BIP	19.28%	÷0.935	×0.920	×1.001	×1.012	19.22%
Doubles /BIP	6.99%	÷0.949	×0.840	×1.001	×1.012	6.26%
Triples /BIP	0.96%	÷1.029	×0.940	×1.001	×1.012	0.89%
Home runs /BIP	4.58%	÷1.071	×0.800	—	×1.012	3.46%

Factors used: league row TL. Park (home-season share, regressed): HR 114, 1B 87, 2B 90, 3B 106, K 98, BB 98 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.001.

Result: wOBA .302 → .262; ISO .172 → .137; BABIP .282 → .270. 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).

2010 A+Modesto Nuts · 541 PAwOBA .356 → .298 (−58)K% 20.9% → 28.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.89%	÷1.001	×1.340	—	—	27.97%
BB% (unintentional) /PA	5.55%	÷1.072	×0.710	—	×0.998	3.67%
HBP% /PA	0.55%	—	×0.790	—	×0.998	0.44%
Singles /BIP	27.53%	÷1.016	×0.910	×1.027	×0.998	25.29%
Doubles /BIP	7.53%	÷0.990	×0.820	×1.027	×0.998	6.40%
Triples /BIP	2.08%	÷1.046	×0.760	×1.027	×0.998	1.55%
Home runs /BIP	3.12%	÷0.923	×0.920	—	×0.998	3.10%

Factors used: league row CAL. Park (home-season share, regressed): HR 85, 1B 103, 2B 98, 3B 109, K 100, BB 114 — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.027.

Result: wOBA .356 → .298; ISO .163 → .139; BABIP .376 → .336. 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 — .