Mike Olt

Pos3B

B/TR/R

Born1988-08-27

Age (2027)38

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2019

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	wRC+	WAR	MLE AVG/OBP/SLG
2017	28	AABOS	448	.245/.333/.436	16	55	—	.187/.249/.316
2018	29	AAAPawtucket Red…	279	.224/.357/.430	11	53	—	.170/.260/.300
2019	30	AAAAlgodoneros U…	32	.172/.250/.207	0	-4	—	.133/.188/.167

Contract

No contract data on file.

Scouting grades · 20-80

Power56Speed57Eye68

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)
2011	22	A+	Myrtle Beach Pelicans	—	292	240	64	15	0	14	48	70	1	0	1	267	391	504	895	237	314	24	16	391	74	—	—	—	—	—	—
2011	22	ROK	AZL Rangers	—	15	14	3	0	0	1	1	5	0	0	0	214	267	429	695	214	250	33	7	306	9	—	—	—	—	—	—
2011	22	INTL	Surprise Saguaros	—	127	106	37	5	0	13	15	36	3	0	1	349	444	764	1.208	415	400	28	12	499	224	—	—	—	—	—	—
2012	23	MLB	Texas Rangers	—	40	33	5	1	0	0	5	13	0	1	1	152	263	182	445	30	227	32	12	210	22	-4	-0	-2	-9	+1	-1.5
2012	23	AA	Frisco RoughRiders	—	421	354	102	17	1	28	61	101	4	4	0	288	398	579	977	291	327	24	14	423	105	—	—	—	—	—	—
2012	23	INTL	Tigres del Licey	—	70	56	14	4	0	2	12	17	1	0	0	250	391	429	820	179	316	24	17	366	134	—	—	—	—	—	—
2013	24	AAA	Iowa Cubs	—	420	361	71	18	1	14	55	126	1	0	0	197	305	368	673	172	254	30	13	303	34	—	—	—	—	—	—
2014	25	MLB	Chicago Cubs	—	258	225	36	8	0	12	25	100	3	0	1	160	253	356	609	196	203	39	10	269	70	-9	-0	-2	+1	+6	-0.5
2014	25	AAA	Iowa Cubs	—	115	106	32	9	0	7	8	33	0	1	0	302	351	585	936	283	373	29	7	402	82	—	—	—	—	—	—
2015	26	MLB	Chicago White Sox	—	102	94	18	0	0	4	7	35	1	0	1	191	255	319	574	128	255	34	7	261	62	-5	-0	-3	+1	+2	-0.5
2015	26	AAA	Iowa Cubs	—	235	211	56	14	0	9	20	71	2	0	1	265	333	460	793	194	356	30	9	349	68	—	—	—	—	—	—
2016	27	AA	San Antonio Missions	—	195	161	41	9	0	5	31	55	0	1	0	255	371	404	775	149	353	28	16	349	71	—	—	—	—	—	—
2017	28	AA	Portland Sea Dogs	—	448	392	96	23	2	16	48	117	4	0	0	245	333	436	769	191	307	26	11	340	55	—	—	—	—	—	—
2018	29	AAA	Pawtucket Red Sox	—	279	228	51	14	0	11	45	86	3	0	0	224	357	430	787	206	303	31	16	351	53	—	—	—	—	—	—
2019	30	AAA	Algodoneros Union Laguna	—	32	29	5	1	0	0	3	10	0	0	0	172	250	207	457	34	263	31	9	219	-4	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	400	352	59	9	0	16	37	148	4	1	3	168	254	330	584	162	221	37	9	261	63	-18	-1	-7	-7	+9	-2.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	22	A+ MLE	Myrtle Beach Pelicans	—	292	260	51	11	0	10	28	100	1	0	1	196	277	354	631	158	263	34	10	277	74	—	—	—	—	—	—
2011	22	ROK MLE	AZL Rangers	—	15	14	2	0	0	1	1	7	0	0	0	143	200	357	557	214	192	47	7	182	9	—	—	—	—	—	—
2012	23	MLB MLE	Texas Rangers	—	40	33	5	1	0	0	5	13	0	1	1	152	263	182	445	30	227	32	12	200	22	-4	-0	-2	-9	+1	-1.5
2012	23	AA MLE	Frisco RoughRiders	—	421	379	89	14	1	20	37	125	4	4	0	235	310	435	745	201	291	30	9	324	105	—	—	—	—	—	—
2013	24	AAA MLE	Iowa Cubs	—	420	377	54	13	1	9	39	162	1	0	0	143	225	255	480	111	212	39	9	219	34	—	—	—	—	—	—
2014	25	MLB MLE	Chicago Cubs	—	258	225	36	8	0	12	25	100	3	0	1	160	253	356	609	196	203	39	10	271	70	-9	-0	-2	+1	+6	-0.5
2014	25	AAA MLE	Iowa Cubs	—	115	109	25	6	0	6	5	43	0	1	0	229	263	450	713	220	296	37	4	289	82	—	—	—	—	—	—
2015	26	MLB MLE	Chicago White Sox	—	102	94	18	0	0	4	7	35	1	0	1	191	255	319	574	128	255	34	7	259	62	-5	-0	-3	+1	+2	-0.5
2015	26	AAA MLE	Iowa Cubs	—	235	218	45	11	0	7	14	87	2	0	1	206	261	353	614	147	299	37	6	268	68	—	—	—	—	—	—
2016	27	AA MLE	San Antonio Missions	—	195	174	36	8	0	4	20	66	0	1	0	207	289	322	610	115	298	34	10	273	71	—	—	—	—	—	—
2017	28	AA MLE	Portland Sea Dogs	—	448	411	77	16	2	11	30	146	4	0	0	187	249	316	566	129	255	33	7	249	55	—	—	—	—	—	—
2018	29	AAA MLE	Pawtucket Red Sox	—	279	247	42	11	0	7	27	104	3	0	0	170	260	300	560	130	246	37	10	247	53	—	—	—	—	—	—
2019	30	AAA MLE	Algodoneros Union Laguna	—	32	30	4	1	0	0	2	13	0	0	0	133	188	167	354	33	231	41	6	162	-4	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	434	384	75	15	0	15	40	152	4	0	2	195	278	352	630	156	269	35	9	272	70	—	—	—	—	—	—
2011	22	A+ RAW	3 teams	—	434	360	104	20	0	28	64	111	4	0	2	289	402	578	980	289	335	26	15	420	70	—	—	—	—	—	—
2012	23	AA MLE	3 teams	—	531	473	107	17	1	23	49	159	5	5	1	226	306	412	718	186	285	30	9	313	98	—	—	—	—	—	—
2012	23	AA RAW	3 teams	—	531	443	121	22	1	30	78	131	5	5	1	273	387	530	918	257	318	25	15	399	98	—	—	—	—	—	—
2013	24	AAA MLE	Iowa Cubs	—	420	377	54	13	1	9	39	162	1	0	0	143	225	255	480	111	215	39	9	219	34	—	—	—	—	—	—
2013	24	AAA RAW	Iowa Cubs	—	420	361	71	18	1	14	55	126	1	0	0	197	305	368	673	172	254	30	13	303	34	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	373	334	61	14	0	18	30	143	3	1	1	183	256	386	642	204	240	38	8	277	73	-12	-0	-2	+1	+8	-0.5
2014	25	MLB RAW	2 teams	—	373	331	68	17	0	19	33	133	3	1	1	205	283	429	712	224	265	36	9	310	73	-12	-0	-2	+1	+8	-0.5
2015	26	AAA MLE	2 teams	—	337	312	63	11	0	11	21	122	3	0	2	202	259	343	602	141	289	36	6	265	66	—	—	—	—	—	—
2015	26	AAA RAW	2 teams	—	337	305	74	14	0	13	27	106	3	0	2	243	310	416	726	174	326	31	8	322	66	—	—	—	—	—	—
2016	27	AA MLE	San Antonio Missions	—	195	174	36	8	0	4	20	66	0	1	0	207	289	322	610	115	305	34	10	273	71	—	—	—	—	—	—
2016	27	AA RAW	San Antonio Missions	—	195	161	41	9	0	5	31	55	0	1	0	255	371	404	775	149	353	28	16	349	71	—	—	—	—	—	—
2017	28	AA MLE	Portland Sea Dogs	—	448	411	77	16	2	11	30	146	4	0	0	187	249	316	566	129	258	33	7	249	55	—	—	—	—	—	—
2017	28	AA RAW	Portland Sea Dogs	—	448	392	96	23	2	16	48	117	4	0	0	245	333	436	769	191	307	26	11	340	55	—	—	—	—	—	—
2018	29	AAA MLE	Pawtucket Red Sox	—	279	247	42	11	0	7	27	104	3	0	0	170	260	300	560	130	255	37	10	247	53	—	—	—	—	—	—
2018	29	AAA RAW	Pawtucket Red Sox	—	279	228	51	14	0	11	45	86	3	0	0	224	357	430	787	206	303	31	16	351	53	—	—	—	—	—	—
2019	30	AAA MLE	Algodoneros Union Laguna	—	32	30	4	1	0	0	2	13	0	0	0	133	188	167	354	33	235	41	6	162	-4	—	—	—	—	—	—
2019	30	AAA RAW	Algodoneros Union Laguna	—	32	29	5	1	0	0	3	10	0	0	0	172	250	207	457	34	263	31	9	219	-4	—	—	—	—	—	—
2011	22	A+ MLE	3 teams	—	434	387	75	15	0	15	40	152	4	0	2	194	278	349	627	155	260	35	9	272	70	—	—	—	—	—	—
2012	23	AA MLE	3 teams	—	531	472	107	17	1	23	49	159	5	5	1	227	306	413	719	186	285	30	9	313	98	—	—	—	—	—	—
2013	24	AAA MLE	Iowa Cubs	—	420	377	54	13	1	9	39	162	1	0	0	143	225	255	480	111	212	39	9	219	34	—	—	—	—	—	—
2014	25	MLB MLE	2 teams	—	373	337	61	14	0	18	30	143	3	1	1	181	256	383	639	202	232	38	8	277	73	—	—	—	—	—	—
2015	26	AAA MLE	2 teams	—	337	310	63	11	0	11	21	122	3	0	2	203	259	345	604	142	286	36	6	265	66	—	—	—	—	—	—
2016	27	AA MLE	San Antonio Missions	—	195	173	36	8	0	4	20	66	0	1	0	208	289	324	612	116	298	34	10	273	71	—	—	—	—	—	—
2017	28	AA MLE	Portland Sea Dogs	—	448	411	77	16	2	11	30	146	4	0	0	187	249	316	566	129	255	33	7	249	55	—	—	—	—	—	—
2018	29	AAA MLE	Pawtucket Red Sox	—	279	247	42	11	0	7	27	104	3	0	0	170	260	300	560	130	246	37	10	247	53	—	—	—	—	—	—
2019	30	AAA MLE	Algodoneros Union Laguna	—	32	30	4	1	0	0	2	13	0	0	0	133	188	167	354	33	231	41	6	162	-4	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	400	352	59	9	0	16	37	148	4	1	3	168	254	330	584	162	221	37	9	261	66	-18	-1	-7	-7	+9	-2.5
/ 162G	—	A+C		—	650	572	96	15	0	26	60	240	6	2	5	168	254	330	584	163	221	37	9	261	66	-29	-2	-12	-11	+14	-4.0
Career	—	MLE		—	3049	2742	519	106	4	98	258	1067	23	7	6	189	265	338	603	149	263	35	8	265	66	-18	-1	-7	-7	+9	-2.5
/ 162G	—	MLE		—	650	585	111	23	1	21	55	227	5	1	1	190	265	340	605	150	263	35	8	265	66	-29	-2	-12	-11	+14	-4.0

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.

2019 AAAAlgodoneros Union Laguna · 32 PAwOBA .214 → .162 (−52)K% 31.2% → 39.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	31.25%	÷0.956	×1.200	—	—	39.21%
BB% (unintentional) /PA	9.38%	÷1.004	×0.690	—	×0.962	6.20%
HBP% /PA	0.00%	—	×0.940	—	×0.962	0.00%
Singles /BIP	21.05%	÷0.981	×0.930	—	×0.962	19.20%
Doubles /BIP	5.26%	÷1.076	×0.830	—	×0.962	3.90%
Triples /BIP	0.00%	÷1.116	×0.920	—	×0.962	0.00%
Home runs /BIP	0.00%	÷1.028	×0.700	—	×0.962	0.00%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 106, 1B 96, 2B 115, 3B 123, K 91, BB 101 — 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).

Result: wOBA .214 → .162; ISO .034 → .024; BABIP .263 → .231. 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 AAAPawtucket Red Sox · 279 PAwOBA .343 → .247 (−95)K% 30.8% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.82%	÷0.994	×1.200	—	—	37.20%
BB% (unintentional) /PA	15.77%	÷1.082	×0.690	—	×0.972	9.77%
HBP% /PA	1.08%	—	×0.940	—	×0.972	0.98%
Singles /BIP	18.31%	÷1.000	×0.930	×0.983	×0.972	16.27%
Doubles /BIP	9.86%	÷1.067	×0.830	×0.983	×0.972	7.33%
Triples /BIP	0.00%	÷0.900	×0.970	×0.983	×0.972	0.00%
Home runs /BIP	7.75%	÷1.342	×0.840	—	×0.972	4.71%

Factors used: league row IL. Park (home-season share, regressed): HR 168, 1B 100, 2B 113, 3B 80, 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 ×0.983.

Result: wOBA .343 → .247; ISO .206 → .137; BABIP .303 → .246. 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 AAPortland Sea Dogs · 448 PAwOBA .332 → .249 (−83)K% 26.1% → 32.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.12%	÷0.974	×1.220	—	—	32.70%
BB% (unintentional) /PA	10.71%	÷1.067	×0.700	—	×0.958	6.73%
HBP% /PA	0.89%	—	×0.850	—	×0.958	0.73%
Singles /BIP	20.00%	÷0.984	×0.970	×0.950	×0.958	17.94%
Doubles /BIP	8.36%	÷1.085	×0.860	×0.950	×0.958	6.04%
Triples /BIP	0.73%	÷1.010	×0.950	×0.950	×0.958	0.62%
Home runs /BIP	5.82%	÷1.020	×0.780	—	×0.958	4.26%

Factors used: league row EL. Park (home-season share, regressed): HR 104, 1B 97, 2B 117, 3B 102, K 95, BB 114 — 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 ×0.950.

Result: wOBA .332 → .249; ISO .191 → .137; BABIP .307 → .255. 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 AASan Antonio Missions · 195 PAwOBA .340 → .273 (−67)K% 28.2% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.21%	÷1.012	×1.220	—	—	34.01%
BB% (unintentional) /PA	15.38%	÷1.016	×0.700	—	×0.968	10.26%
HBP% /PA	0.00%	—	×0.870	—	×0.968	0.00%
Singles /BIP	25.47%	÷1.015	×0.920	×0.975	×0.968	21.78%
Doubles /BIP	8.49%	÷0.951	×0.840	×0.975	×0.968	7.08%
Triples /BIP	0.00%	÷0.900	×0.940	×0.975	×0.968	0.00%
Home runs /BIP	4.72%	÷0.933	×0.800	—	×0.968	3.91%

Factors used: league row TL. Park (home-season share, regressed): HR 87, 1B 103, 2B 90, 3B 80, K 102, BB 103 — 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 ×0.975.

Result: wOBA .340 → .273; ISO .149 → .127; BABIP .353 → .298. 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 AAAIowa Cubs · 235 PAwOBA .341 → .268 (−73)K% 30.2% → 37.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.21%	÷1.051	×1.290	—	—	37.08%
BB% (unintentional) /PA	8.51%	÷0.996	×0.710	—	×1.003	6.08%
HBP% /PA	0.85%	—	×0.980	—	×1.003	0.84%
Singles /BIP	23.57%	÷1.008	×0.900	×0.971	×1.003	20.49%
Doubles /BIP	10.00%	÷0.984	×0.810	×0.971	×1.003	8.01%
Triples /BIP	0.00%	÷0.948	×0.810	×0.971	×1.003	0.00%
Home runs /BIP	6.43%	÷0.916	×0.780	—	×1.003	5.49%

Factors used: league row PCL. Park (home-season share, regressed): HR 83, 1B 102, 2B 97, 3B 90, K 110, BB 99 — 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 ×0.971.

Result: wOBA .341 → .268; ISO .194 → .153; BABIP .356 → .299. 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 AAAIowa Cubs · 115 PAwOBA .393 → .289 (−105)K% 28.7% → 37.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.70%	÷0.996	×1.290	—	—	37.16%
BB% (unintentional) /PA	6.96%	÷1.249	×0.710	—	×1.018	4.02%
HBP% /PA	0.00%	—	×0.980	—	×1.018	0.00%
Singles /BIP	21.92%	÷1.021	×0.900	×0.957	×1.018	18.83%
Doubles /BIP	12.33%	÷1.111	×0.810	×0.957	×1.018	8.76%
Triples /BIP	0.00%	÷1.150	×0.810	×0.957	×1.018	0.00%
Home runs /BIP	9.59%	÷0.929	×0.780	—	×1.018	8.20%

Factors used: league row PCL. Park (home-season share, regressed): HR 86, 1B 104, 2B 122, 3B 130, K 99, BB 150 — 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 ×0.957.

Result: wOBA .393 → .289; ISO .283 → .213; BABIP .373 → .296. 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 AAAIowa Cubs · 420 PAwOBA .296 → .219 (−77)K% 30.0% → 38.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷1.004	×1.290	—	—	38.56%
BB% (unintentional) /PA	12.62%	÷1.000	×0.710	—	×1.033	9.25%
HBP% /PA	0.24%	—	×0.980	—	×1.033	0.24%
Singles /BIP	16.17%	÷1.009	×0.900	×0.966	×1.033	14.40%
Doubles /BIP	7.66%	÷1.050	×0.810	×0.966	×1.033	5.90%
Triples /BIP	0.43%	÷1.012	×0.810	×0.966	×1.033	0.34%
Home runs /BIP	5.96%	÷1.130	×0.780	—	×1.033	4.25%

Factors used: league row PCL. Park (home-season share, regressed): HR 126, 1B 102, 2B 110, 3B 102, K 101, BB 100 — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.966.

Result: wOBA .296 → .219; ISO .172 → .117; BABIP .254 → .212. 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 AAFrisco RoughRiders · 421 PAwOBA .409 → .324 (−84)K% 24.0% → 29.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.99%	÷0.982	×1.220	—	—	29.81%
BB% (unintentional) /PA	13.30%	÷1.061	×0.700	—	×1.012	8.88%
HBP% /PA	0.95%	—	×0.870	—	×1.012	0.84%
Singles /BIP	22.13%	÷0.978	×0.920	×0.999	×1.012	21.04%
Doubles /BIP	6.72%	÷1.035	×0.840	×0.999	×1.012	5.51%
Triples /BIP	0.40%	÷1.016	×0.940	×0.999	×1.012	0.37%
Home runs /BIP	11.07%	÷1.137	×0.800	—	×1.012	7.88%

Factors used: league row TL. Park (home-season share, regressed): HR 127, 1B 96, 2B 107, 3B 103, K 96, BB 112 — 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 ×0.999.

Result: wOBA .409 → .324; ISO .291 → .215; BABIP .327 → .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).