Joseph Dunigan

PosOF

B/TL/L

Born1986-03-29

Age (2027)41

No MLB projection yet. Career stats below are historical.

Overview

INTLLAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	27	AAA/ROK2 orgs	130	.229/.295/.492	8	3	36	—	.156/.209/.327
2014	28	INTLSenadores de …	70	.231/.275/.508	5	1	113	—
2015	29	INTLPerth Heat	56	.160/.250/.280	2	2	54	—

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)
2008	22	A	Wisconsin Timber Rattlers	—	480	437	105	31	3	14	30	142	8	28	4	240	300	421	721	181	320	30	6	317	47	—	—	—	—	—	—
2009	23	A+	High Desert Mavericks	—	506	456	134	28	4	30	43	129	2	20	8	294	357	570	927	276	347	25	8	398	101	—	—	—	—	—	—
2010	24	AA	West Tenn Diamond Jaxx	—	312	280	60	14	0	10	28	110	2	12	2	214	290	371	662	157	311	35	9	296	45	—	—	—	—	—	—
2010	24	ROK	AZL Mariners	—	36	33	12	5	1	0	2	12	1	3	0	364	417	576	992	212	571	33	6	433	54	—	—	—	—	—	—
2011	25	AA	Jackson Generals	—	200	172	37	11	1	7	26	81	0	4	2	215	318	413	731	198	353	40	13	324	51	—	—	—	—	—	—
2011	25	A+	High Desert Mavericks	—	118	106	25	3	0	10	12	59	0	0	1	236	314	547	861	311	405	50	10	372	24	—	—	—	—	—	—
2012	26	AA	Jackson Generals	—	469	426	108	25	3	25	38	175	4	15	5	254	321	502	823	249	366	37	8	359	63	—	—	—	—	—	—
2013	27	AAA	Tacoma Rainiers	—	100	88	17	2	1	4	10	44	1	3	0	193	283	375	658	182	317	44	10	293	28	—	—	—	—	—	—
2013	27	ROK	AZL Mariners	—	30	30	10	1	1	4	0	11	0	0	0	333	333	833	1.167	500	400	37	0	495	63	—	—	—	—	—	—
2014	28	INTL	Senadores de San Juan	—	70	65	15	3	0	5	3	25	1	1	0	231	275	508	783	277	278	36	4	335	113	—	—	—	—	—	—
2015	29	INTL	Perth Heat	—	56	50	8	0	0	2	4	21	2	2	0	160	250	280	530	120	222	38	7	247	54	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2008	22	A MLE	Wisconsin Timber Rattlers	—	480	447	82	23	2	10	21	193	8	28	4	183	233	311	544	128	289	40	4	237	47	—	—	—	—	—	—
2009	23	A+ MLE	High Desert Mavericks	—	506	471	114	22	3	26	28	173	2	20	8	242	287	467	755	225	311	34	6	318	101	—	—	—	—	—	—
2010	24	AA MLE	West Tenn Diamond Jaxx	—	312	288	50	13	0	8	20	135	2	12	2	174	232	302	534	128	283	43	6	234	45	—	—	—	—	—	—
2010	24	ROK MLE	AZL Mariners	—	36	34	8	3	1	0	1	17	1	3	0	235	278	382	660	147	420	47	3	248	54	—	—	—	—	—	—
2011	25	AA MLE	Jackson Generals	—	200	182	32	10	1	5	16	96	0	4	2	176	242	324	567	148	316	48	8	243	51	—	—	—	—	—	—
2011	25	A+ MLE	High Desert Mavericks	—	118	110	13	1	0	6	8	80	0	0	1	118	178	291	469	173	314	68	7	204	24	—	—	—	—	—	—
2012	26	AA MLE	Jackson Generals	—	469	440	85	17	2	18	24	219	4	15	5	193	241	364	605	170	324	47	5	261	63	—	—	—	—	—	—
2013	27	AAA MLE	Tacoma Rainiers	—	100	91	13	1	1	3	7	55	1	3	0	143	212	275	487	132	282	55	7	210	28	—	—	—	—	—	—
2013	27	ROK MLE	AZL Mariners	—	30	30	6	1	1	2	0	16	0	0	0	200	200	500	700	300	276	53	0	261	63	—	—	—	—	—	—
2008	22	A MLE	Wisconsin Timber Rattlers	—	480	447	82	23	2	10	21	193	8	28	4	183	233	311	544	128	291	40	4	237	47	—	—	—	—	—	—
2008	22	A RAW	Wisconsin Timber Rattlers	—	480	437	105	31	3	14	30	142	8	28	4	240	300	421	721	181	320	30	6	317	47	—	—	—	—	—	—
2009	23	A+ MLE	High Desert Mavericks	—	506	471	114	22	3	26	28	173	2	20	8	242	287	467	755	225	320	34	6	318	101	—	—	—	—	—	—
2009	23	A+ RAW	High Desert Mavericks	—	506	456	134	28	4	30	43	129	2	20	8	294	357	570	927	276	347	25	8	398	101	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	348	322	57	15	1	8	21	153	3	15	2	177	234	304	538	127	302	44	6	235	45	—	—	—	—	—	—
2010	24	AA RAW	2 teams	—	348	313	72	19	1	10	30	122	3	15	2	230	303	393	696	163	341	35	9	310	45	—	—	—	—	—	—
2011	25	AA MLE	2 teams	—	318	292	45	11	1	10	24	175	0	4	3	154	218	301	520	147	324	55	8	229	41	—	—	—	—	—	—
2011	25	AA RAW	2 teams	—	318	278	62	14	1	17	38	140	0	4	3	223	316	464	780	241	369	44	12	342	41	—	—	—	—	—	—
2012	26	AA MLE	Jackson Generals	—	469	440	85	17	2	18	24	219	4	15	5	193	241	364	605	170	328	47	5	261	63	—	—	—	—	—	—
2012	26	AA RAW	Jackson Generals	—	469	426	108	25	3	25	38	175	4	15	5	254	321	502	823	249	366	37	8	359	63	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	130	121	18	2	1	5	7	71	1	3	0	149	202	306	507	157	283	55	5	222	36	—	—	—	—	—	—
2013	27	AAA RAW	2 teams	—	130	118	27	3	2	8	10	55	1	3	0	229	295	492	786	263	339	42	8	339	36	—	—	—	—	—	—
2014	28	INTL MLE	Senadores de San Juan	—	70	65	15	3	0	5	3	25	1	1	0	231	275	508	783	277	278	36	4	—	—	—	—	—	—	—	—
2014	28	INTL RAW	Senadores de San Juan	—	70	65	15	3	0	5	3	25	1	1	0	231	275	508	783	277	278	36	4	335	113	—	—	—	—	—	—
2015	29	INTL MLE	Perth Heat	—	56	50	8	0	0	2	4	21	2	2	0	160	250	280	530	120	222	38	7	—	—	—	—	—	—	—	—
2015	29	INTL RAW	Perth Heat	—	56	50	8	0	0	2	4	21	2	2	0	160	250	280	530	120	222	38	7	247	54	—	—	—	—	—	—
2008	22	A MLE	Wisconsin Timber Rattlers	—	480	448	82	23	2	10	21	193	8	28	4	183	233	310	543	127	289	40	4	237	47	—	—	—	—	—	—
2009	23	A+ MLE	High Desert Mavericks	—	506	471	114	22	3	26	28	173	2	20	8	242	287	467	755	225	311	34	6	318	101	—	—	—	—	—	—
2010	24	AA MLE	2 teams	—	348	321	57	15	1	8	21	153	3	15	2	178	234	305	539	128	297	44	6	235	45	—	—	—	—	—	—
2011	25	AA MLE	2 teams	—	318	291	45	11	1	10	24	175	0	4	3	155	218	302	521	148	315	55	8	229	41	—	—	—	—	—	—
2012	26	AA MLE	Jackson Generals	—	469	438	85	17	2	18	24	219	4	15	5	194	241	365	607	171	324	47	5	261	63	—	—	—	—	—	—
2013	27	AAA MLE	2 teams	—	130	121	18	2	1	5	7	71	1	3	0	149	202	306	507	157	281	55	5	222	36	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2377	2208	424	93	10	84	132	1030	21	88	22	192	244	357	602	165	308	43	6	244	51	-137	+9	+0	-14	+52	-9.3
/ 162G	—	MLE		—	650	604	116	25	3	23	36	282	6	24	6	192	245	358	602	166	308	43	6	244	51	-38	+2	+0	-4	+14	-2.5

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.

2013 AAATacoma Rainiers · 100 PAwOBA .288 → .210 (−78)K% 44.0% → 55.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	44.00%	÷1.030	×1.290	—	—	55.13%
BB% (unintentional) /PA	10.00%	÷1.049	×0.710	—	×1.003	6.79%
HBP% /PA	1.00%	—	×0.980	—	×1.003	0.98%
Singles /BIP	22.73%	÷0.983	×0.900	—	×1.003	20.86%
Doubles /BIP	4.55%	÷0.957	×0.810	—	×1.003	3.86%
Triples /BIP	2.27%	÷0.900	×0.810	—	×1.003	2.05%
Home runs /BIP	9.09%	÷0.938	×0.780	—	×1.003	7.58%

Factors used: league row PCL. Park (home-season share, regressed): HR 88, 1B 97, 2B 91, 3B 80, K 106, BB 110 — 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).

Result: wOBA .288 → .210; ISO .182 → .129; BABIP .317 → .282. 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 ROKAZL Mariners · 30 PAwOBA .478 → .261 (−218)K% 36.7% → 52.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	36.67%	÷1.000	×1.440	—	—	52.80%
BB% (unintentional) /PA	0.00%	÷1.000	×0.620	—	×0.940	0.00%
HBP% /PA	0.00%	—	×0.720	—	×0.940	0.00%
Singles /BIP	21.05%	÷1.000	×0.820	—	×0.940	16.23%
Doubles /BIP	5.26%	÷1.000	×0.720	—	×0.940	3.56%
Triples /BIP	5.26%	÷1.000	×0.720	—	×0.940	3.56%
Home runs /BIP	21.05%	÷1.000	×0.780	—	×0.940	15.44%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 27 vs a level average of 19.5 → −6.0% on BB/HBP/hit rates (7.5 yr older than average).

Result: wOBA .478 → .261; ISO .500 → .269; BABIP .400 → .276. 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 AAJackson Generals · 469 PAwOBA .348 → .261 (−87)K% 37.3% → 46.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	37.31%	÷0.974	×1.220	—	—	46.74%
BB% (unintentional) /PA	7.68%	÷0.997	×0.680	—	×0.988	5.17%
HBP% /PA	0.85%	—	×0.840	—	×0.988	0.71%
Singles /BIP	21.91%	÷0.943	×0.920	×1.020	×0.988	21.54%
Doubles /BIP	9.96%	÷1.228	×0.910	×1.020	×0.988	7.44%
Triples /BIP	1.20%	÷1.150	×0.880	×1.020	×0.988	0.92%
Home runs /BIP	9.96%	÷0.957	×0.800	—	×0.988	8.23%

Factors used: league row SL. Park (home-season share, regressed): HR 91, 1B 89, 2B 146, 3B 130, K 95, BB 99 — 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 ×1.020.

Result: wOBA .348 → .261; ISO .249 → .177; BABIP .366 → .324. 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 AAJackson Generals · 200 PAwOBA .315 → .243 (−72)K% 40.5% → 47.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	40.50%	÷1.031	×1.220	—	—	47.93%
BB% (unintentional) /PA	12.50%	÷1.063	×0.680	—	×0.998	7.98%
HBP% /PA	0.00%	—	×0.840	—	×0.998	0.00%
Singles /BIP	19.78%	÷0.986	×0.920	×1.010	×0.998	18.59%
Doubles /BIP	12.09%	÷1.028	×0.910	×1.010	×0.998	10.78%
Triples /BIP	1.10%	÷1.150	×0.880	×1.010	×0.998	0.85%
Home runs /BIP	7.69%	÷1.130	×0.800	—	×0.998	5.44%

Factors used: league row SL. Park (home-season share, regressed): HR 126, 1B 97, 2B 106, 3B 130, K 106, BB 113 — 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 ×1.010.

Result: wOBA .315 → .243; ISO .198 → .148; BABIP .353 → .316. 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 A+High Desert Mavericks · 118 PAwOBA .361 → .204 (−157)K% 50.0% → 67.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	50.00%	÷0.994	×1.340	—	—	67.41%
BB% (unintentional) /PA	10.17%	÷1.044	×0.710	—	×0.978	6.76%
HBP% /PA	0.00%	—	×0.790	—	×0.978	0.00%
Singles /BIP	25.53%	÷1.077	×0.910	—	×0.978	21.09%
Doubles /BIP	6.38%	÷1.121	×0.820	—	×0.978	4.56%
Triples /BIP	0.00%	÷1.069	×0.760	—	×0.978	0.00%
Home runs /BIP	21.28%	÷1.044	×0.920	—	×0.978	18.33%

Factors used: league row CAL. Park (home-season share, regressed): HR 109, 1B 115, 2B 124, 3B 114, K 99, BB 109 — 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).

Result: wOBA .361 → .204; ISO .311 → .171; BABIP .405 → .314. 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 AAWest Tenn Diamond Jaxx · 312 PAwOBA .289 → .234 (−55)K% 35.3% → 43.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	35.26%	÷0.992	×1.220	—	—	43.36%
BB% (unintentional) /PA	8.97%	÷0.976	×0.680	—	×1.012	6.33%
HBP% /PA	0.64%	—	×0.840	—	×1.012	0.54%
Singles /BIP	21.18%	÷1.058	×0.920	×1.010	×1.012	18.82%
Doubles /BIP	8.24%	÷0.934	×0.910	×1.010	×1.012	8.20%
Triples /BIP	0.00%	÷1.150	×0.880	×1.010	×1.012	0.00%
Home runs /BIP	5.88%	÷0.900	×0.800	—	×1.012	5.29%

Factors used: league row SL. Park (home-season share, regressed): HR 80, 1B 112, 2B 87, 3B 130, K 98, BB 95 — 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 ×1.010.

Result: wOBA .289 → .234; ISO .157 → .134; BABIP .311 → .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).

2010 ROKAZL Mariners · 36 PAwOBA .422 → .248 (−173)K% 33.3% → 48.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	33.33%	÷1.000	×1.440	—	—	48.00%
BB% (unintentional) /PA	5.56%	÷1.000	×0.620	—	×0.955	3.29%
HBP% /PA	2.78%	—	×0.720	—	×0.955	1.91%
Singles /BIP	28.57%	÷1.000	×0.820	—	×0.955	22.37%
Doubles /BIP	23.81%	÷1.000	×0.720	—	×0.955	16.37%
Triples /BIP	4.76%	÷1.000	×0.720	—	×0.955	3.27%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.955	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .422 → .248; ISO .212 → .117; BABIP .571 → .420. 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).

2009 A+High Desert Mavericks · 506 PAwOBA .387 → .318 (−69)K% 25.5% → 34.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.49%	÷1.000	×1.340	—	—	34.16%
BB% (unintentional) /PA	7.71%	÷1.000	×0.710	—	×0.998	5.46%
HBP% /PA	0.40%	—	×0.790	—	×0.998	0.31%
Singles /BIP	22.02%	÷1.000	×0.910	×1.032	×0.998	20.64%
Doubles /BIP	8.56%	÷1.000	×0.820	×1.032	×0.998	7.23%
Triples /BIP	1.22%	÷1.000	×0.760	×1.032	×0.998	0.96%
Home runs /BIP	9.17%	÷1.000	×0.920	—	×0.998	8.42%

Factors used: league row CAL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×1.032.

Result: wOBA .387 → .318; ISO .276 → .229; BABIP .347 → .311. 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 — .