Ryan Lollis

PosLF

B/TL/L

Born1986-12-16

Age (2027)40

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	28	AAA/AA/A+/INTL2 orgs	597	.335/.400/.460	6	10	105	—	.291/.341/.392
2016	29	AAA/INTL2 orgs	517	.249/.335/.321	5	7	64	—	.232/.284/.286
2017	30	AAA/AASF	378	.263/.307/.323	1	2	46	—	.227/.262/.278

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)
2010	23	A	Augusta GreenJackets	—	425	389	112	9	9	3	32	55	2	8	2	288	345	380	726	93	329	13	8	326	79	—	—	—	—	—	—
2011	24	A+	San Jose Giants	—	57	51	13	2	0	0	4	9	2	0	0	255	333	294	627	39	310	16	7	294	47	—	—	—	—	—	—
2011	24	A	Augusta GreenJackets	—	339	296	93	22	2	2	39	47	1	10	5	314	395	422	817	108	365	14	12	366	84	—	—	—	—	—	—
2012	25	AAA	Fresno Grizzlies	—	205	175	54	9	2	3	25	26	0	2	3	309	393	434	827	126	347	13	12	364	103	—	—	—	—	—	—
2012	25	A+	San Jose Giants	—	349	318	94	18	3	5	27	53	0	5	6	296	351	418	769	123	337	15	8	340	80	—	—	—	—	—	—
2013	26	AA	Richmond Flying Squirrels	—	540	470	126	25	2	8	50	61	8	6	3	268	348	381	729	113	291	11	9	324	78	—	—	—	—	—	—
2013	26	INTL	Aguilas del Zulia	—	49	44	8	2	1	0	3	8	1	0	3	182	250	273	523	91	222	16	6	235	45	—	—	—	—	—	—
2014	27	AA	Richmond Flying Squirrels	—	227	203	44	4	3	1	17	28	1	2	0	217	279	281	560	64	244	12	7	252	37	—	—	—	—	—	—
2014	27	A+	San Jose Giants	—	119	109	30	3	0	3	7	8	0	4	0	275	316	385	702	110	276	7	6	308	68	—	—	—	—	—	—
2015	28	AAA	Sacramento River Cats	—	313	279	92	22	2	4	25	37	2	6	4	330	388	466	854	136	364	12	8	373	97	—	—	—	—	—	—
2015	28	AA	Richmond Flying Squirrels	—	18	17	8	1	0	0	1	0	0	1	0	471	500	529	1.029	59	471	0	6	462	160	—	—	—	—	—	—
2015	28	A+	San Jose Giants	—	131	113	39	8	2	1	15	19	2	3	2	345	431	478	909	133	409	15	11	403	96	—	—	—	—	—	—
2015	28	INTL	Tomateros de Culiacan	—	135	117	37	7	1	1	10	9	3	0	2	316	385	419	803	103	324	7	7	350	123	—	—	—	—	—	—
2016	29	AAA	Sacramento River Cats	—	425	372	94	10	3	3	42	56	2	6	1	253	332	320	652	67	286	13	10	295	57	—	—	—	—	—	—
2016	29	INTL	Tomateros de Culiacan	—	92	77	18	1	0	2	14	15	0	1	1	234	352	325	676	91	267	16	15	313	98	—	—	—	—	—	—
2017	30	AAA	Sacramento River Cats	—	200	185	54	14	0	1	11	19	1	1	0	292	335	384	719	92	317	10	6	319	64	—	—	—	—	—	—
2017	30	AA	Richmond Flying Squirrels	—	178	165	38	4	0	0	10	25	1	1	1	230	277	255	531	24	270	14	6	245	25	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2010	23	A MLE	Augusta GreenJackets	—	425	402	107	8	9	3	19	68	2	8	2	266	303	353	656	87	313	16	4	285	79	—	—	—	—	—	—
2011	24	A+ MLE	San Jose Giants	—	57	52	11	2	0	0	3	12	2	0	0	212	281	250	531	38	275	21	5	237	47	—	—	—	—	—	—
2011	24	A MLE	Augusta GreenJackets	—	339	311	80	19	2	2	25	62	1	10	5	257	315	350	665	93	311	18	7	293	84	—	—	—	—	—	—
2012	25	AAA MLE	Fresno Grizzlies	—	205	185	53	8	2	3	16	35	0	2	3	286	343	400	743	114	329	17	8	321	103	—	—	—	—	—	—
2012	25	A+ MLE	San Jose Giants	—	349	327	83	16	2	4	18	71	0	5	6	254	293	352	644	98	306	20	5	286	80	—	—	—	—	—	—
2013	26	AA MLE	Richmond Flying Squirrels	—	540	488	122	22	2	7	32	77	8	6	3	250	307	346	653	96	273	14	6	283	78	—	—	—	—	—	—
2014	27	AA MLE	Richmond Flying Squirrels	—	227	210	44	4	3	1	11	34	1	2	0	210	252	271	524	62	232	15	5	223	37	—	—	—	—	—	—
2014	27	A+ MLE	San Jose Giants	—	119	112	28	3	0	3	5	10	0	4	0	250	282	357	639	107	248	8	4	269	68	—	—	—	—	—	—
2015	28	AAA MLE	Sacramento River Cats	—	313	288	82	18	2	3	17	46	2	6	4	285	329	392	721	108	313	15	5	312	97	—	—	—	—	—	—
2015	28	AA MLE	Richmond Flying Squirrels	—	18	17	8	1	0	0	1	0	0	1	0	471	500	529	1.029	59	426	0	6	404	160	—	—	—	—	—	—
2015	28	A+ MLE	San Jose Giants	—	131	118	33	6	1	1	10	26	2	3	2	280	346	373	719	93	342	20	8	310	96	—	—	—	—	—	—
2016	29	AAA MLE	Sacramento River Cats	—	425	388	90	9	3	2	26	70	2	6	1	232	284	286	570	54	265	16	6	253	57	—	—	—	—	—	—
2017	30	AAA MLE	Sacramento River Cats	—	200	188	47	12	0	1	8	25	1	1	0	250	284	330	614	80	272	12	4	263	64	—	—	—	—	—	—
2017	30	AA MLE	Richmond Flying Squirrels	—	178	169	34	3	0	0	7	32	1	1	1	201	237	219	456	18	245	18	4	205	25	—	—	—	—	—	—
2010	23	A MLE	Augusta GreenJackets	—	425	402	107	8	9	3	19	68	2	8	2	266	303	353	656	87	314	16	4	285	79	—	—	—	—	—	—
2010	23	A RAW	Augusta GreenJackets	—	425	389	112	9	9	3	32	55	2	8	2	288	345	380	726	93	329	13	8	326	79	—	—	—	—	—	—
2011	24	A MLE	2 teams	—	396	363	92	21	2	2	28	74	3	10	5	253	312	339	651	85	311	19	7	285	79	—	—	—	—	—	—
2011	24	A RAW	2 teams	—	396	347	106	24	2	2	43	56	3	10	5	305	386	403	789	98	357	14	11	356	79	—	—	—	—	—	—
2012	25	A+ MLE	2 teams	—	554	512	136	24	4	7	34	106	0	7	9	266	311	369	680	104	319	19	6	299	88	—	—	—	—	—	—
2012	25	A+ RAW	2 teams	—	554	493	148	27	5	8	52	79	0	7	9	300	366	424	790	124	341	14	9	349	88	—	—	—	—	—	—
2013	26	AA MLE	2 teams	—	589	532	132	24	2	7	35	84	9	6	6	248	306	340	646	92	281	14	6	283	78	—	—	—	—	—	—
2013	26	AA RAW	2 teams	—	589	514	134	27	3	8	53	69	9	6	6	261	340	372	712	111	286	12	9	317	78	—	—	—	—	—	—
2014	27	AA MLE	2 teams	—	346	323	71	6	3	4	15	44	1	6	0	220	257	294	551	74	242	13	4	239	48	—	—	—	—	—	—
2014	27	AA RAW	2 teams	—	346	312	74	7	3	4	24	36	1	6	0	237	292	317	609	80	255	10	7	271	48	—	—	—	—	—	—
2015	28	AAA MLE	4 teams	—	597	543	156	31	4	5	35	93	7	10	8	287	338	387	725	99	333	16	6	315	99	—	—	—	—	—	—
2015	28	AAA RAW	4 teams	—	597	526	176	38	5	6	51	65	7	10	8	335	400	460	860	125	367	11	9	377	99	—	—	—	—	—	—
2016	29	AAA MLE	2 teams	—	517	473	109	11	3	3	32	85	2	7	2	230	282	285	567	55	272	16	6	253	57	—	—	—	—	—	—
2016	29	AAA RAW	2 teams	—	517	449	112	11	3	5	56	71	2	7	2	249	335	321	656	71	283	14	11	298	57	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	378	357	81	15	0	1	15	57	2	2	1	227	262	277	539	50	265	15	4	236	46	—	—	—	—	—	—
2017	30	AAA RAW	2 teams	—	378	350	92	18	0	1	21	44	2	2	1	263	307	323	630	60	295	12	6	284	46	—	—	—	—	—	—
2010	23	A MLE	Augusta GreenJackets	—	425	401	107	8	9	3	19	68	2	8	2	267	303	354	657	87	313	16	4	285	79	—	—	—	—	—	—
2011	24	A MLE	2 teams	—	396	362	92	21	2	2	28	74	3	10	5	254	312	340	652	86	306	19	7	285	79	—	—	—	—	—	—
2012	25	A+ MLE	2 teams	—	554	515	136	24	4	7	34	106	0	7	9	264	311	367	678	103	315	19	6	299	88	—	—	—	—	—	—
2013	26	AA MLE	2 teams	—	589	540	132	24	2	7	35	84	9	6	6	244	306	335	641	91	273	14	6	283	78	—	—	—	—	—	—
2014	27	AA MLE	2 teams	—	346	327	71	6	3	4	15	44	1	6	0	217	257	291	547	73	238	13	4	239	48	—	—	—	—	—	—
2015	28	AAA MLE	4 teams	—	597	550	156	31	4	5	35	93	7	10	8	284	338	382	720	98	326	16	6	315	99	—	—	—	—	—	—
2016	29	AAA MLE	2 teams	—	517	478	109	11	3	3	32	85	2	7	2	228	282	282	564	54	265	16	6	253	57	—	—	—	—	—	—
2017	30	AAA MLE	2 teams	—	378	358	81	15	0	1	15	57	2	2	1	226	262	277	539	50	259	15	4	236	46	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	3802	3505	884	140	27	32	213	611	26	56	33	252	300	335	635	83	295	16	6	278	74	-116	-2	-0	-41	+82	-7.9
/ 162G	—	MLE		—	650	599	151	24	5	5	36	104	4	10	6	252	298	334	632	82	295	16	6	278	74	-20	-0	-0	-7	+14	-1.4

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 AAASacramento River Cats · 200 PAwOBA .313 → .263 (−50)K% 9.5% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.50%	÷0.989	×1.290	—	—	12.39%
BB% (unintentional) /PA	5.50%	÷0.952	×0.710	—	×0.962	3.95%
HBP% /PA	0.50%	—	×0.980	—	×0.962	0.47%
Singles /BIP	23.49%	÷1.027	×0.900	×1.032	×0.962	20.43%
Doubles /BIP	8.43%	÷0.975	×0.810	×1.032	×0.962	6.96%
Triples /BIP	0.00%	÷0.920	×0.810	×1.032	×0.962	0.00%
Home runs /BIP	0.60%	÷0.889	×0.780	—	×0.962	0.51%

Factors used: league row PCL. Park (home-season share, regressed): HR 78, 1B 105, 2B 95, 3B 84, K 98, BB 90 — 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 ×1.032.

Result: wOBA .313 → .263; ISO .092 → .076; BABIP .317 → .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).

2017 AARichmond Flying Squirrels · 178 PAwOBA .240 → .205 (−35)K% 14.0% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.04%	÷0.948	×1.220	—	—	18.08%
BB% (unintentional) /PA	5.62%	÷0.974	×0.700	—	×0.940	3.79%
HBP% /PA	0.56%	—	×0.850	—	×0.940	0.45%
Singles /BIP	24.29%	÷1.004	×0.970	×1.021	×0.940	22.51%
Doubles /BIP	2.86%	÷1.096	×0.860	×1.021	×0.940	2.15%
Triples /BIP	0.00%	÷0.900	×0.950	×1.021	×0.940	0.00%
Home runs /BIP	0.00%	÷0.848	×0.780	—	×0.940	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 70, 1B 101, 2B 119, 3B 80, K 90, BB 95 — 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 ×1.021.

Result: wOBA .240 → .205; ISO .024 → .018; BABIP .270 → .245. 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 AAASacramento River Cats · 425 PAwOBA .289 → .253 (−36)K% 13.2% → 16.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.18%	÷1.034	×1.290	—	—	16.44%
BB% (unintentional) /PA	9.41%	÷1.052	×0.710	—	×0.972	6.17%
HBP% /PA	0.47%	—	×0.980	—	×0.972	0.45%
Singles /BIP	24.68%	÷0.960	×0.900	×1.032	×0.972	23.23%
Doubles /BIP	3.16%	÷0.973	×0.810	×1.032	×0.972	2.64%
Triples /BIP	0.95%	÷0.900	×0.810	×1.032	×0.972	0.86%
Home runs /BIP	0.95%	÷1.082	×0.780	—	×0.972	0.66%

Factors used: league row PCL. Park (home-season share, regressed): HR 116, 1B 92, 2B 95, 3B 80, K 107, BB 110 — 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 ×1.032.

Result: wOBA .289 → .253; ISO .067 → .056; BABIP .286 → .265. 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 AAASacramento River Cats · 313 PAwOBA .365 → .312 (−53)K% 11.8% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.82%	÷1.047	×1.290	—	—	14.56%
BB% (unintentional) /PA	7.35%	÷0.960	×0.710	—	×0.982	5.34%
HBP% /PA	0.64%	—	×0.980	—	×0.982	0.61%
Singles /BIP	26.45%	÷1.003	×0.900	×1.010	×0.982	23.54%
Doubles /BIP	9.09%	÷1.024	×0.810	×1.010	×0.982	7.13%
Triples /BIP	0.83%	÷0.925	×0.810	×1.010	×0.982	0.72%
Home runs /BIP	1.65%	÷0.982	×0.780	—	×0.982	1.29%

Factors used: league row PCL. Park (home-season share, regressed): HR 96, 1B 101, 2B 105, 3B 85, K 109, BB 92 — 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 ×1.010.

Result: wOBA .365 → .312; ISO .136 → .111; BABIP .364 → .313. 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+San Jose Giants · 131 PAwOBA .393 → .310 (−84)K% 14.5% → 19.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.50%	÷0.983	×1.340	—	—	19.77%
BB% (unintentional) /PA	11.45%	÷0.996	×0.710	—	×0.940	7.68%
HBP% /PA	1.53%	—	×0.790	—	×0.940	1.13%
Singles /BIP	29.79%	÷0.971	×0.910	×1.007	×0.940	26.40%
Doubles /BIP	8.51%	÷1.071	×0.820	×1.007	×0.940	6.16%
Triples /BIP	2.13%	÷1.150	×0.760	×1.007	×0.940	1.33%
Home runs /BIP	1.06%	÷1.031	×0.920	—	×0.940	0.89%

Factors used: league row CAL. Park (home-season share, regressed): HR 106, 1B 94, 2B 114, 3B 130, K 97, BB 99 — applied at half strength. Age: age 29 vs a level average of 22.8 → −6.0% on BB/HBP/hit rates (6.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .393 → .310; ISO .133 → .095; BABIP .409 → .342. 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 AARichmond Flying Squirrels · 18 PAwOBA .450 → .404 (−46)K% 0.0% → 0.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	0.00%	÷1.003	×1.220	—	—	0.00%
BB% (unintentional) /PA	5.56%	÷0.992	×0.700	—	×0.958	3.75%
HBP% /PA	0.00%	—	×0.850	—	×0.958	0.00%
Singles /BIP	41.18%	÷1.013	×0.970	—	×0.958	37.77%
Doubles /BIP	5.88%	÷0.998	×0.860	—	×0.958	4.86%
Triples /BIP	0.00%	÷1.025	×0.950	—	×0.958	0.00%
Home runs /BIP	0.00%	÷0.860	×0.780	—	×0.958	0.00%

Factors used: league row EL. Park (home-season share, regressed): HR 72, 1B 103, 2B 100, 3B 105, K 101, BB 98 — 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).

Result: wOBA .450 → .404; ISO .059 → .049; BABIP .471 → .426. 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 AARichmond Flying Squirrels · 227 PAwOBA .248 → .223 (−25)K% 12.3% → 14.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	12.33%	÷1.012	×1.220	—	—	14.86%
BB% (unintentional) /PA	7.49%	÷1.075	×0.700	—	×0.968	4.72%
HBP% /PA	0.44%	—	×0.850	—	×0.968	0.36%
Singles /BIP	20.57%	÷1.014	×0.970	×1.037	×0.968	19.77%
Doubles /BIP	2.29%	÷0.983	×0.860	×1.037	×0.968	2.01%
Triples /BIP	1.71%	÷1.061	×0.950	×1.037	×0.968	1.54%
Home runs /BIP	0.57%	÷0.918	×0.780	—	×0.968	0.47%

Factors used: league row EL. Park (home-season share, regressed): HR 84, 1B 103, 2B 97, 3B 112, K 102, BB 115 — applied at half strength. Age: age 28 vs a level average of 24.8 → −3.2% on BB/HBP/hit rates (3.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .248 → .223; ISO .064 → .058; BABIP .244 → .232. 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 A+San Jose Giants · 119 PAwOBA .300 → .269 (−31)K% 6.7% → 8.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	6.72%	÷1.026	×1.340	—	—	8.78%
BB% (unintentional) /PA	5.88%	÷1.009	×0.710	—	×0.948	3.92%
HBP% /PA	0.00%	—	×0.790	—	×0.948	0.00%
Singles /BIP	23.76%	÷0.996	×0.910	×1.050	×0.948	21.61%
Doubles /BIP	2.97%	÷0.953	×0.820	×1.050	×0.948	2.55%
Triples /BIP	0.00%	÷0.979	×0.760	×1.050	×0.948	0.00%
Home runs /BIP	2.97%	÷0.931	×0.920	—	×0.948	2.78%

Factors used: league row CAL. Park (home-season share, regressed): HR 86, 1B 99, 2B 91, 3B 96, K 105, BB 102 — applied at half strength. Age: age 28 vs a level average of 22.8 → −5.2% on BB/HBP/hit rates (5.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .300 → .269; ISO .110 → .104; BABIP .276 → .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).

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