Ryan Rohlinger

Pos3B

B/TR/R

Born1983-10-07

Age (2027)43

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2015

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2013	29	AAACLE	372	.266/.352/.367	5	3	69	—	.237/.299/.317
2014	30	AAACLE	328	.233/.302/.339	5	0	39	—	.189/.240/.269
2015	31	AAA/AACLE	336	.185/.313/.265	5	0	33	—	.159/.248/.217

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)
2007	23	A	Augusta GreenJackets	—	586	506	119	31	3	18	62	83	13	3	3	235	334	415	749	180	247	14	11	334	62	—	—	—	—	—	—
2008	24	MLB	San Francisco Giants	—	33	32	3	1	1	0	1	8	0	0	1	94	121	188	309	94	125	24	3	136	-22	-5	-0	-0	+2	+1	-0.3
2008	24	AA	Connecticut Defenders	—	179	160	46	12	1	5	12	20	3	1	1	287	349	469	817	181	301	11	7	354	91	—	—	—	—	—	—
2008	24	A+	San Jose Giants	—	322	277	79	16	0	7	34	50	5	5	1	285	373	419	792	134	320	16	11	352	80	—	—	—	—	—	—
2009	25	MLB	San Francisco Giants	—	20	19	3	1	0	0	1	6	0	0	0	158	200	211	411	53	231	30	5	190	14	-2	+0	+2	+2	+0	0.3
2009	25	AAA	Fresno Grizzlies	—	535	474	133	37	2	16	42	90	12	4	2	281	354	468	823	188	314	17	8	360	82	—	—	—	—	—	—
2010	26	MLB	San Francisco Giants	—	18	15	3	0	0	0	2	5	0	0	0	200	294	200	494		300	28	11	228	42	-1	+0	+0	+1	+0	0.1
2010	26	AAA	Fresno Grizzlies	—	325	283	88	23	0	8	29	59	10	3	0	311	394	477	871	166	367	18	9	386	107	—	—	—	—	—	—
2011	27	AAA	Colorado Springs Sky Sox	—	430	364	90	19	5	10	56	57	5	2	3	247	355	409	765	162	267	13	13	341	66	—	—	—	—	—	—
2012	28	AA	Akron Aeros	—	425	353	83	14	0	7	51	59	6	2	2	235	341	334	676	99	259	14	12	303	59	—	—	—	—	—	—
2013	29	AAA	Columbus Clippers	—	372	319	85	17	0	5	36	69	7	3	2	266	352	367	718	100	325	19	10	321	69	—	—	—	—	—	—
2014	30	AAA	Columbus Clippers	—	328	292	68	16	0	5	24	48	5	0	0	233	302	339	641	106	261	15	7	286	39	—	—	—	—	—	—
2015	31	AAA	Columbus Clippers	—	250	208	38	4	0	4	27	28	6	0	1	183	295	260	554	77	191	11	11	255	24	—	—	—	—	—	—
2015	31	AA	Akron RubberDucks	—	86	67	13	3	0	1	17	9	1	0	1	194	365	284	648	90	207	10	20	310	58	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	71	66	9	2	1	0	4	19	0	0	1	136	186	197	383	61	191	27	6	175	4	-8	-0	+3	+5	+2	0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2007	23	A MLE	Augusta GreenJackets	—	586	530	103	25	3	15	38	111	13	3	3	194	265	338	603	143	210	19	6	260	62	—	—	—	—	—	—
2008	24	MLB MLE	San Francisco Giants	—	33	32	3	1	1	0	1	8	0	0	1	94	121	188	309	94	125	24	3	136	-22	-5	-0	-0	+2	+1	-0.3
2008	24	AA MLE	Connecticut Defenders	—	179	164	42	10	1	4	8	24	3	1	1	256	303	402	705	146	273	13	4	302	91	—	—	—	—	—	—
2008	24	A+ MLE	San Jose Giants	—	322	287	68	13	0	6	24	67	5	5	1	237	307	345	652	108	273	21	7	286	80	—	—	—	—	—	—
2009	25	MLB MLE	San Francisco Giants	—	20	19	3	1	0	0	1	6	0	0	0	158	200	211	411	53	231	30	5	190	14	-2	+0	+2	+2	+0	0.3
2009	25	AAA MLE	Fresno Grizzlies	—	535	487	112	29	2	12	29	116	12	4	2	230	290	372	661	142	269	22	5	290	82	—	—	—	—	—	—
2010	26	MLB MLE	San Francisco Giants	—	18	15	3	0	0	0	2	5	0	0	0	200	294	200	494		300	28	11	231	42	-1	+0	+0	+1	+0	0.1
2010	26	AAA MLE	Fresno Grizzlies	—	325	292	79	20	0	6	20	79	10	3	0	271	339	401	739	130	347	24	6	326	107	—	—	—	—	—	—
2011	27	AAA MLE	Colorado Springs Sky Sox	—	430	380	74	15	3	7	40	80	5	2	3	195	280	305	585	111	224	19	9	266	66	—	—	—	—	—	—
2012	28	AA MLE	Akron Aeros	—	425	369	77	12	0	6	35	74	6	2	2	209	288	290	578	81	226	17	8	255	59	—	—	—	—	—	—
2013	29	AAA MLE	Columbus Clippers	—	372	334	79	15	0	4	23	82	7	3	2	237	299	317	617	81	291	22	6	270	69	—	—	—	—	—	—
2014	30	AAA MLE	Columbus Clippers	—	328	301	57	12	0	4	15	57	5	0	0	189	240	269	509	80	215	17	5	226	39	—	—	—	—	—	—
2015	31	AAA MLE	Columbus Clippers	—	250	218	34	3	0	3	16	33	6	0	1	156	232	211	443	55	164	13	6	203	24	—	—	—	—	—	—
2015	31	AA MLE	Akron RubberDucks	—	86	72	12	2	0	1	12	11	1	0	1	167	294	236	530	69	182	13	14	254	58	—	—	—	—	—	—
2007	23	A MLE	Augusta GreenJackets	—	586	530	103	25	3	15	38	111	13	3	3	194	265	338	603	143	216	19	6	260	62	—	—	—	—	—	—
2007	23	A RAW	Augusta GreenJackets	—	586	506	119	31	3	18	62	83	13	3	3	235	334	415	749	180	247	14	11	334	62	—	—	—	—	—	—
2008	24	A+ MLE	3 teams	—	534	483	113	24	2	10	33	99	8	6	3	234	294	354	648	120	271	19	6	282	77	—	—	—	—	—	—
2008	24	A+ RAW	3 teams	—	534	469	128	29	2	12	47	78	8	6	3	273	349	420	769	147	301	15	9	339	77	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	555	506	115	30	2	12	30	122	12	4	2	227	286	366	652	138	273	22	5	286	80	—	—	—	—	—	—
2009	25	AAA RAW	2 teams	—	555	493	136	38	2	16	43	96	12	4	2	276	349	458	807	183	311	17	8	354	80	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	343	307	82	20	0	6	22	84	10	3	0	267	336	391	727	124	347	24	6	321	103	—	—	—	—	—	—
2010	26	AAA RAW	2 teams	—	343	298	91	23	0	8	31	64	10	3	0	305	389	463	852	158	364	19	9	377	103	—	—	—	—	—	—
2011	27	AAA MLE	Colorado Springs Sky Sox	—	430	380	74	15	3	7	40	80	5	2	3	195	280	305	585	111	226	19	9	266	66	—	—	—	—	—	—
2011	27	AAA RAW	Colorado Springs Sky Sox	—	430	364	90	19	5	10	56	57	5	2	3	247	355	409	765	162	267	13	13	341	66	—	—	—	—	—	—
2012	28	AA MLE	Akron Aeros	—	425	369	77	12	0	6	35	74	6	2	2	209	288	290	578	81	240	17	8	255	59	—	—	—	—	—	—
2012	28	AA RAW	Akron Aeros	—	425	353	83	14	0	7	51	59	6	2	2	235	341	334	676	99	259	14	12	303	59	—	—	—	—	—	—
2013	29	AAA MLE	Columbus Clippers	—	372	334	79	15	0	4	23	82	7	3	2	237	299	317	617	81	301	22	6	270	69	—	—	—	—	—	—
2013	29	AAA RAW	Columbus Clippers	—	372	319	85	17	0	5	36	69	7	3	2	266	352	367	718	100	325	19	10	321	69	—	—	—	—	—	—
2014	30	AAA MLE	Columbus Clippers	—	328	301	57	12	0	4	15	57	5	0	0	189	240	269	509	80	219	17	5	226	39	—	—	—	—	—	—
2014	30	AAA RAW	Columbus Clippers	—	328	292	68	16	0	5	24	48	5	0	0	233	302	339	641	106	261	15	7	286	39	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	336	291	47	6	0	4	28	44	7	0	2	162	252	223	475	62	175	13	8	216	32	—	—	—	—	—	—
2015	31	AAA RAW	2 teams	—	336	275	51	7	0	5	44	37	7	0	2	185	313	265	578	80	195	11	13	269	32	—	—	—	—	—	—
2007	23	A MLE	Augusta GreenJackets	—	586	530	103	25	3	15	38	111	13	3	3	194	265	338	603	143	210	19	6	260	62	—	—	—	—	—	—
2008	24	A+ MLE	3 teams	—	534	488	113	24	2	10	33	99	8	6	3	232	294	350	644	119	264	19	6	282	77	—	—	—	—	—	—
2009	25	AAA MLE	2 teams	—	555	508	115	30	2	12	30	122	12	4	2	226	286	364	651	138	268	22	5	286	80	—	—	—	—	—	—
2010	26	AAA MLE	2 teams	—	343	308	82	20	0	6	22	84	10	3	0	266	336	390	726	123	345	24	6	321	103	—	—	—	—	—	—
2011	27	AAA MLE	Colorado Springs Sky Sox	—	430	382	74	15	3	7	40	80	5	2	3	194	280	304	584	110	224	19	9	266	66	—	—	—	—	—	—
2012	28	AA MLE	Akron Aeros	—	425	381	77	12	0	6	35	74	6	2	2	202	288	281	569	79	226	17	8	255	59	—	—	—	—	—	—
2013	29	AAA MLE	Columbus Clippers	—	372	339	79	15	0	4	23	82	7	3	2	233	299	313	612	80	291	22	6	270	69	—	—	—	—	—	—
2014	30	AAA MLE	Columbus Clippers	—	328	305	57	12	0	4	15	57	5	0	0	187	240	266	505	79	215	17	5	226	39	—	—	—	—	—	—
2015	31	AAA MLE	2 teams	—	336	298	47	6	0	4	28	44	7	0	2	158	252	218	470	60	169	13	8	216	32	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	71	66	9	2	1	0	4	19	0	0	1	136	186	197	383	61	191	27	6	175	67	-8	-0	+3	+5	+2	0.1
/ 162G	—	A+C		—	650	604	82	18	9	0	37	174	0	0	9	136	186	195	381	60	191	27	6	175	67	-74	-4	+23	+47	+14	0.6
Career	—	MLE		—	3909	3501	747	159	10	68	264	753	73	23	17	213	282	323	605	109	250	19	7	267	67	-8	-0	+3	+5	+2	0.1
/ 162G	—	MLE		—	650	582	124	26	2	11	44	125	12	4	3	213	282	321	603	108	251	19	7	267	67	-74	-4	+23	+47	+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.

2015 AAAColumbus Clippers · 250 PAwOBA .251 → .203 (−49)K% 11.2% → 13.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.20%	÷1.009	×1.200	—	—	13.31%
BB% (unintentional) /PA	10.80%	÷1.068	×0.690	—	×0.952	6.65%
HBP% /PA	2.40%	—	×0.940	—	×0.952	2.15%
Singles /BIP	16.67%	÷1.005	×0.930	×0.995	×0.952	14.61%
Doubles /BIP	2.22%	÷1.019	×0.830	×0.995	×0.952	1.71%
Triples /BIP	0.00%	÷0.900	×0.970	×0.995	×0.952	0.00%
Home runs /BIP	2.22%	÷1.217	×0.840	—	×0.952	1.46%

Factors used: league row IL. Park (home-season share, regressed): HR 143, 1B 101, 2B 104, 3B 80, K 102, BB 114 — applied at half strength. Age: age 32 vs a level average of 27.2 → −4.8% on BB/HBP/hit rates (4.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.995.

Result: wOBA .251 → .203; ISO .077 → .057; BABIP .191 → .164. 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 AAAkron RubberDucks · 86 PAwOBA .307 → .254 (−53)K% 10.5% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.47%	÷1.019	×1.220	—	—	12.53%
BB% (unintentional) /PA	19.77%	÷0.934	×0.700	—	×0.940	13.92%
HBP% /PA	1.16%	—	×0.850	—	×0.940	0.93%
Singles /BIP	15.52%	÷0.971	×0.970	×0.983	×0.940	14.31%
Doubles /BIP	5.17%	÷1.053	×0.860	×0.983	×0.940	3.90%
Triples /BIP	0.00%	÷1.150	×0.950	×0.983	×0.940	0.00%
Home runs /BIP	1.72%	÷0.842	×0.780	—	×0.940	1.50%

Factors used: league row EL. Park (home-season share, regressed): HR 68, 1B 94, 2B 111, 3B 130, K 104, BB 87 — applied at half strength. Age: age 32 vs a level average of 24.8 → −6.0% on BB/HBP/hit rates (7.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.983.

Result: wOBA .307 → .254; ISO .090 → .078; BABIP .207 → .182. 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 AAAColumbus Clippers · 328 PAwOBA .279 → .226 (−53)K% 14.6% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.63%	÷1.016	×1.200	—	—	17.28%
BB% (unintentional) /PA	7.01%	÷1.015	×0.690	—	×0.962	4.58%
HBP% /PA	1.52%	—	×0.940	—	×0.962	1.38%
Singles /BIP	19.26%	÷1.034	×0.930	×0.983	×0.962	16.40%
Doubles /BIP	6.56%	÷1.047	×0.830	×0.983	×0.962	4.92%
Triples /BIP	0.00%	÷1.007	×0.970	×0.983	×0.962	0.00%
Home runs /BIP	2.05%	÷1.028	×0.840	—	×0.962	1.61%

Factors used: league row IL. Park (home-season share, regressed): HR 106, 1B 107, 2B 109, 3B 102, K 103, BB 103 — 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 ×0.983.

Result: wOBA .279 → .226; ISO .106 → .084; BABIP .261 → .215. 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 AAAColumbus Clippers · 372 PAwOBA .312 → .270 (−42)K% 18.5% → 22.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.55%	÷1.013	×1.200	—	—	21.96%
BB% (unintentional) /PA	9.14%	÷0.986	×0.690	—	×0.972	6.22%
HBP% /PA	1.88%	—	×0.940	—	×0.972	1.72%
Singles /BIP	25.20%	÷0.980	×0.930	×0.988	×0.972	22.95%
Doubles /BIP	6.80%	÷0.933	×0.830	×0.988	×0.972	5.81%
Triples /BIP	0.00%	÷0.900	×0.970	×0.988	×0.972	0.00%
Home runs /BIP	2.00%	÷1.111	×0.840	—	×0.972	1.47%

Factors used: league row IL. Park (home-season share, regressed): HR 122, 1B 96, 2B 87, 3B 80, K 103, BB 97 — 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 ×0.988.

Result: wOBA .312 → .270; ISO .100 → .084; BABIP .325 → .291. 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 AAAkron Aeros · 425 PAwOBA .299 → .255 (−45)K% 13.9% → 17.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.88%	÷0.979	×1.220	—	—	17.30%
BB% (unintentional) /PA	11.76%	÷0.966	×0.700	—	×0.958	8.16%
HBP% /PA	1.41%	—	×0.850	—	×0.958	1.15%
Singles /BIP	21.09%	÷1.027	×0.970	×0.990	×0.958	18.88%
Doubles /BIP	4.76%	÷1.035	×0.860	×0.990	×0.958	3.75%
Triples /BIP	0.00%	÷1.142	×0.950	×0.990	×0.958	0.00%
Home runs /BIP	2.38%	÷0.903	×0.780	—	×0.958	1.97%

Factors used: league row EL. Park (home-season share, regressed): HR 81, 1B 105, 2B 107, 3B 128, K 96, BB 93 — applied at half strength. Age: age 29 vs a level average of 24.8 → −4.2% on BB/HBP/hit rates (4.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.990.

Result: wOBA .299 → .255; ISO .099 → .085; BABIP .259 → .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).

2011 AAAColorado Springs Sky Sox · 430 PAwOBA .334 → .266 (−68)K% 13.3% → 18.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.26%	÷0.925	×1.290	—	—	18.49%
BB% (unintentional) /PA	12.79%	÷0.972	×0.710	—	×0.992	9.27%
HBP% /PA	1.16%	—	×0.980	—	×0.992	1.13%
Singles /BIP	18.24%	÷1.016	×0.900	×0.997	×0.992	15.98%
Doubles /BIP	6.19%	÷0.992	×0.810	×0.997	×0.992	5.00%
Triples /BIP	1.63%	÷1.150	×0.810	×0.997	×0.992	1.13%
Home runs /BIP	3.26%	÷1.029	×0.780	—	×0.992	2.45%

Factors used: league row PCL. Park (home-season share, regressed): HR 106, 1B 103, 2B 98, 3B 130, K 85, BB 94 — 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 ×0.997.

Result: wOBA .334 → .266; ISO .162 → .123; BABIP .267 → .224. 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 AAAFresno Grizzlies · 325 PAwOBA .377 → .326 (−51)K% 18.2% → 24.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.15%	÷0.969	×1.290	—	—	24.16%
BB% (unintentional) /PA	8.62%	÷0.981	×0.710	—	×1.003	6.25%
HBP% /PA	3.08%	—	×0.980	—	×1.003	3.02%
Singles /BIP	25.45%	÷0.951	×0.900	×1.023	×1.003	24.70%
Doubles /BIP	10.27%	÷0.910	×0.810	×1.023	×1.003	9.37%
Triples /BIP	0.00%	÷1.022	×0.810	×1.023	×1.003	0.00%
Home runs /BIP	3.57%	÷1.047	×0.780	—	×1.003	2.67%

Factors used: league row PCL. Park (home-season share, regressed): HR 109, 1B 90, 2B 82, 3B 104, K 94, BB 96 — 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 ×1.023.

Result: wOBA .377 → .326; ISO .166 → .133; BABIP .367 → .347. 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 AAAFresno Grizzlies · 535 PAwOBA .353 → .290 (−63)K% 16.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.82%	÷1.000	×1.290	—	—	21.70%
BB% (unintentional) /PA	7.66%	÷1.000	×0.710	—	×1.018	5.54%
HBP% /PA	2.24%	—	×0.980	—	×1.018	2.24%
Singles /BIP	20.31%	÷1.000	×0.900	×0.979	×1.018	18.21%
Doubles /BIP	9.64%	÷1.000	×0.810	×0.979	×1.018	7.78%
Triples /BIP	0.52%	÷1.000	×0.810	×0.979	×1.018	0.42%
Home runs /BIP	4.17%	÷1.000	×0.780	—	×1.018	3.31%

Factors used: league row PCL. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.979.

Result: wOBA .353 → .290; ISO .188 → .148; BABIP .314 → .269. 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).