Derek Fisher

PosLF

B/TL/R

Born1993-08-21

Age (2027)33

No MLB projection yet. Career stats below are historical.

Overview

AAALAST SEASON 2022

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2020	26	MLBTOR	39	.226/.368/.452	1	0	126	-0.1
2021	27	AAAMIL	85	.205/.271/.308	1	0	34	—	.188/.235/.275
2022	28	AAAMIN	108	.158/.259/.305	3	0	13	—	.121/.194/.222
2023	29	No MLB games played
2024	30	No MLB games played
2025	31	No MLB games played
2026	32	No MLB games played

Last 3 seasons WAR -0.1

Contract

No contract data on file.

Skills · percentileStatcast 2019-2021

Barrel%72

Avg EV47

xwOBA40

Speed27

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)
2015	21	A+	Lancaster JetHawks	—	398	344	90	10	7	16	47	95	4	23	5	262	357	471	828	209	314	24	12	364	78	—	—	—	—	—	—
2015	21	A	Quad Cities River Bandits	—	171	151	46	11	1	6	19	37	1	8	2	305	386	510	896	205	370	22	11	395	78	—	—	—	—	—	—
2015	21	INTL	Glendale Desert Dogs	—	73	59	15	2	1	2	14	23	0	3	2	254	397	424	821	169	382	32	19	372	138	—	—	—	—	—	—
2016	22	AAA	Fresno Grizzlies	—	118	107	31	8	0	5	9	26	1	5	0	290	350	505	855	215	338	22	8	373	92	—	—	—	—	—	—
2016	22	AA	Corpus Christi Hooks	—	448	371	91	13	4	16	74	128	2	23	7	245	374	431	805	186	329	29	17	362	92	—	—	—	—	—	—
2017	23	MLB	Houston Astros	—	166	146	31	4	1	5	17	54	3	3	3	212	307	356	663	144	299	33	10	303	88	-2	-1	+0	-6	+4	-0.5
2017	23	AAA	Fresno Grizzlies	—	384	343	109	26	1	21	35	74	3	16	10	318	386	583	969	265	352	19	9	418	130	—	—	—	—	—	—
2018	24	MLB	Houston Astros	—	86	79	13	2	2	4	5	42	0	2	0	165	214	392	607	228	257	49	6	257	60	-4	+0	-1	-4	+2	-0.7
2018	24	AAA	Fresno Grizzlies	—	281	239	60	12	1	10	39	85	3	11	1	251	363	435	798	184	347	30	14	358	76	—	—	—	—	—	—
2019	25	MLB	Toronto Blue Jays	—	167	146	27	4	1	7	21	57	0	5	1	185	287	370	657	185	244	34	13	297	86	-3	+1	-2	-5	+4	-0.5
2019	25	AAA	Round Rock Express	—	270	224	64	9	1	14	40	67	4	8	3	286	403	522	925	237	347	25	15	405	110	—	—	—	—	—	—
2020	26	MLB	Toronto Blue Jays	—	39	31	7	2	1	1	7	11	0	0	1	226	368	452	820	226	300	28	18	355	126	+1	-0	-3	-0	+1	-0.1
2021	27	AAA	Nashville Sounds	—	85	78	16	5	0	1	7	23	0	0	0	205	271	308	578	103	278	27	8	264	34	—	—	—	—	—	—
2022	28	AAA	St. Paul Saints	—	108	95	15	5	0	3	12	37	1	0	0	158	259	305	565	147	218	34	11	260	13	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	458	402	78	12	5	17	50	164	3	10	5	194	288	376	664	182	272	36	11	296	87	-7	+0	-6	-15	+10	-1.8
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	21	A+ MLE	Lancaster JetHawks	—	398	358	75	8	4	14	33	138	4	23	5	209	284	372	655	162	285	35	8	283	78	—	—	—	—	—	—
2015	21	A MLE	Quad Cities River Bandits	—	171	158	35	7	1	4	12	52	1	8	2	222	281	354	635	133	307	30	7	284	78	—	—	—	—	—	—
2016	22	AAA MLE	Fresno Grizzlies	—	118	109	27	6	0	4	7	34	1	5	0	248	299	413	712	165	315	29	6	304	92	—	—	—	—	—	—
2016	22	AA MLE	Corpus Christi Hooks	—	448	393	87	12	4	11	52	148	2	23	7	221	315	356	672	135	323	33	12	304	92	—	—	—	—	—	—
2017	23	MLB MLE	Houston Astros	—	166	147	31	4	1	5	16	54	3	3	3	211	301	354	655	143	299	33	10	298	88	-2	-1	+0	-6	+4	-0.5
2017	23	AAA MLE	Fresno Grizzlies	—	384	353	102	24	1	17	25	96	3	16	10	289	341	507	848	218	346	25	7	361	130	—	—	—	—	—	—
2018	24	MLB MLE	Houston Astros	—	86	79	13	2	2	4	5	42	0	2	0	165	214	392	607	228	257	49	6	258	60	-4	+0	-1	-4	+2	-0.7
2018	24	AAA MLE	Fresno Grizzlies	—	281	250	52	10	1	8	28	112	3	11	1	208	295	352	647	144	330	40	10	280	76	—	—	—	—	—	—
2019	25	MLB MLE	Toronto Blue Jays	—	167	146	27	4	1	7	21	57	0	5	1	185	287	370	657	185	244	34	13	296	86	-3	+1	-2	-5	+4	-0.5
2019	25	AAA MLE	Round Rock Express	—	270	237	58	7	1	12	27	85	4	8	3	245	332	435	767	190	322	31	10	331	110	—	—	—	—	—	—
2020	26	MLB MLE	Toronto Blue Jays	—	39	31	7	2	1	1	7	11	0	0	1	226	368	452	820	226	300	28	18	354	126	+1	-0	-3	-0	+1	-0.1
2021	27	AAA MLE	Nashville Sounds	—	85	80	15	4	0	1	5	27	0	0	0	188	235	275	510	88	262	32	6	218	34	—	—	—	—	—	—
2022	28	AAA MLE	St. Paul Saints	—	108	99	12	4	0	2	8	45	1	0	0	121	194	222	417	101	183	42	7	187	13	—	—	—	—	—	—
2015	21	A+ MLE	3 teams	—	642	583	125	17	6	21	51	215	5	34	9	214	283	372	655	158	297	33	8	283	78	—	—	—	—	—	—
2015	21	A+ RAW	3 teams	—	642	554	151	23	9	24	80	155	5	34	9	273	369	477	846	204	336	24	12	373	78	—	—	—	—	—	—
2016	22	AA MLE	2 teams	—	566	503	114	18	4	15	58	181	3	28	7	227	310	368	678	141	320	32	10	304	92	—	—	—	—	—	—
2016	22	AA RAW	2 teams	—	566	478	122	21	4	21	83	154	3	28	7	255	369	448	816	192	331	27	15	364	92	—	—	—	—	—	—
2017	23	AAA MLE	2 teams	—	550	500	133	28	2	22	41	150	6	19	13	266	329	462	791	196	336	27	7	342	118	—	—	—	—	—	—
2017	23	AAA RAW	2 teams	—	550	489	140	30	2	26	52	128	6	19	13	286	362	515	877	229	338	23	9	383	118	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	367	329	64	11	3	12	33	154	3	13	1	195	274	356	630	161	315	42	9	275	72	—	—	—	—	—	—
2018	24	AAA RAW	2 teams	—	367	318	73	14	3	14	44	127	3	13	1	230	329	425	753	195	330	35	12	335	72	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	437	383	85	11	2	19	48	142	4	13	4	222	315	410	725	188	296	32	11	318	101	—	—	—	—	—	—
2019	25	AAA RAW	2 teams	—	437	370	91	13	2	21	61	124	4	13	4	246	359	462	821	216	310	28	14	364	101	—	—	—	—	—	—
2020	26	MLB MLE	Toronto Blue Jays	—	39	31	7	2	1	1	7	11	0	0	1	226	368	452	820	226	300	28	18	354	126	+1	-0	-3	-0	+1	-0.1
2020	26	MLB RAW	Toronto Blue Jays	—	39	31	7	2	1	1	7	11	0	0	1	226	368	452	820	226	300	28	18	355	126	+1	-0	-3	-0	+1	-0.1
2021	27	AAA MLE	Nashville Sounds	—	85	80	15	4	0	1	5	27	0	0	0	188	235	275	510	88	269	32	6	218	34	—	—	—	—	—	—
2021	27	AAA RAW	Nashville Sounds	—	85	78	16	5	0	1	7	23	0	0	0	205	271	308	578	103	278	27	8	264	34	—	—	—	—	—	—
2022	28	AAA MLE	St. Paul Saints	—	108	99	12	4	0	2	8	45	1	0	0	121	194	222	417	101	192	42	7	187	13	—	—	—	—	—	—
2022	28	AAA RAW	St. Paul Saints	—	108	95	15	5	0	3	12	37	1	0	0	158	259	305	565	147	218	34	11	260	13	—	—	—	—	—	—
2015	21	A+ MLE	3 teams	—	642	581	125	17	6	21	51	215	5	34	9	215	283	373	657	158	292	33	8	283	78	—	—	—	—	—	—
2016	22	AA MLE	2 teams	—	566	500	114	18	4	15	58	181	3	28	7	228	310	370	680	142	321	32	10	304	92	—	—	—	—	—	—
2017	23	AAA MLE	2 teams	—	550	498	133	28	2	22	41	150	6	19	13	267	329	464	793	197	332	27	7	342	118	—	—	—	—	—	—
2018	24	AAA MLE	2 teams	—	367	328	64	11	3	12	33	154	3	13	1	195	274	357	631	162	313	42	9	275	72	—	—	—	—	—	—
2019	25	AAA MLE	2 teams	—	437	382	85	11	2	19	48	142	4	13	4	223	315	411	726	188	292	32	11	318	101	—	—	—	—	—	—
2020	26	MLB MLE	Toronto Blue Jays	—	39	32	7	2	1	1	7	11	0	0	1	219	368	438	806	219	300	28	18	354	126	—	—	—	—	—	—
2021	27	AAA MLE	Nashville Sounds	—	85	80	15	4	0	1	5	27	0	0	0	188	235	275	510	88	262	32	6	218	34	—	—	—	—	—	—
2022	28	AAA MLE	St. Paul Saints	—	108	98	12	4	0	2	8	45	1	0	0	122	194	224	419	102	183	42	7	187	13	—	—	—	—	—	—
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	458	402	78	12	5	17	50	164	3	10	5	194	288	376	664	182	272	36	11	296	88	-7	+0	-6	-15	+10	-1.8
/ 162G	—	A+C		—	650	571	110	17	7	24	71	233	4	14	7	193	286	373	659	180	270	36	11	296	88	-10	+0	-8	-21	+14	-2.6
Career	—	MLE		—	2794	2508	555	95	18	93	251	925	22	107	35	221	298	385	683	163	308	33	9	299	88	-7	+0	-6	-15	+10	-1.8
/ 162G	—	MLE		—	650	583	129	22	4	22	58	215	5	25	8	221	297	386	683	165	307	33	9	299	88	-10	+0	-8	-21	+14	-2.6

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.

2022 AAASt. Paul Saints · 108 PAwOBA .254 → .187 (−67)K% 34.3% → 41.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.26%	÷0.981	×1.200	—	—	41.89%
BB% (unintentional) /PA	11.11%	÷1.012	×0.690	—	×0.982	7.44%
HBP% /PA	0.93%	—	×0.940	—	×0.982	0.85%
Singles /BIP	12.07%	÷1.000	×0.930	×1.004	×0.982	11.07%
Doubles /BIP	8.62%	÷1.079	×0.830	×1.004	×0.982	6.54%
Triples /BIP	0.00%	÷1.150	×0.970	×1.004	×0.982	0.00%
Home runs /BIP	5.17%	÷0.881	×0.700	—	×0.982	4.03%

Factors used: league row International League. Park (home-season share, regressed): HR 76, 1B 100, 2B 116, 3B 130, K 96, BB 102 — 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 ×1.004.

Result: wOBA .254 → .187; ISO .147 → .106; BABIP .218 → .183. 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).

2021 AAANashville Sounds · 85 PAwOBA .257 → .218 (−40)K% 27.1% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.06%	÷1.024	×1.200	—	—	31.72%
BB% (unintentional) /PA	8.24%	÷0.946	×0.690	—	×0.992	5.96%
HBP% /PA	0.00%	—	×0.940	—	×0.992	0.00%
Singles /BIP	18.18%	÷0.966	×0.930	×1.050	×0.992	18.23%
Doubles /BIP	9.09%	÷1.030	×0.830	×1.050	×0.992	7.63%
Triples /BIP	0.00%	÷1.150	×0.920	×1.050	×0.992	0.00%
Home runs /BIP	1.82%	÷0.915	×0.700	—	×0.992	1.38%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 83, 1B 93, 2B 106, 3B 130, K 105, BB 89 — 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 ×1.050.

Result: wOBA .257 → .218; ISO .103 → .080; BABIP .278 → .262. 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).

2019 AAARound Rock Express · 270 PAwOBA .395 → .331 (−64)K% 24.8% → 31.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.81%	÷1.022	×1.290	—	—	31.32%
BB% (unintentional) /PA	14.44%	÷1.030	×0.710	—	×1.018	10.13%
HBP% /PA	1.48%	—	×0.980	—	×1.018	1.48%
Singles /BIP	25.48%	÷0.966	×0.900	×1.022	×1.018	24.71%
Doubles /BIP	5.73%	÷0.995	×0.810	×1.022	×1.018	4.86%
Triples /BIP	0.64%	÷1.126	×0.810	×1.022	×1.018	0.48%
Home runs /BIP	8.92%	÷0.948	×0.780	—	×1.018	7.47%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 93, 2B 99, 3B 125, K 104, BB 106 — 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 .395 → .331; ISO .237 → .194; BABIP .347 → .322. 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 AAAFresno Grizzlies · 281 PAwOBA .349 → .280 (−69)K% 30.2% → 39.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.25%	÷0.982	×1.290	—	—	39.72%
BB% (unintentional) /PA	13.88%	÷1.025	×0.710	—	×1.033	9.94%
HBP% /PA	1.07%	—	×0.980	—	×1.033	1.08%
Singles /BIP	24.03%	÷0.962	×0.900	×1.027	×1.033	23.86%
Doubles /BIP	7.79%	÷0.974	×0.810	×1.027	×1.033	6.87%
Triples /BIP	0.65%	÷1.150	×0.810	×1.027	×1.033	0.49%
Home runs /BIP	6.49%	÷0.951	×0.780	—	×1.033	5.50%

Factors used: league row PCL. Park (home-season share, regressed): HR 90, 1B 92, 2B 95, 3B 130, K 96, BB 105 — 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 ×1.027.

Result: wOBA .349 → .280; ISO .184 → .141; BABIP .347 → .330. 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 AAAFresno Grizzlies · 384 PAwOBA .408 → .361 (−47)K% 19.3% → 25.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.27%	÷0.992	×1.290	—	—	25.05%
BB% (unintentional) /PA	8.85%	÷1.028	×0.710	—	×1.048	6.41%
HBP% /PA	0.78%	—	×0.980	—	×1.048	0.80%
Singles /BIP	22.68%	÷0.978	×0.900	×1.050	×1.048	22.96%
Doubles /BIP	9.67%	÷0.926	×0.810	×1.050	×1.048	9.30%
Triples /BIP	0.37%	÷1.150	×0.810	×1.050	×1.048	0.29%
Home runs /BIP	7.81%	÷0.963	×0.780	—	×1.048	6.62%

Factors used: league row PCL. Park (home-season share, regressed): HR 93, 1B 96, 2B 85, 3B 130, K 98, BB 106 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .408 → .361; ISO .265 → .226; BABIP .352 → .346. 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 AACorpus Christi Hooks · 448 PAwOBA .348 → .304 (−44)K% 28.6% → 33.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.055	×1.220	—	—	33.02%
BB% (unintentional) /PA	14.96%	÷0.932	×0.700	—	×1.027	11.53%
HBP% /PA	0.45%	—	×0.870	—	×1.027	0.40%
Singles /BIP	23.87%	÷0.967	×0.920	×1.050	×1.027	24.49%
Doubles /BIP	5.35%	÷1.017	×0.840	×1.050	×1.027	4.77%
Triples /BIP	1.65%	÷0.977	×0.940	×1.050	×1.027	1.71%
Home runs /BIP	6.58%	÷1.196	×0.800	—	×1.027	4.52%

Factors used: league row TL. Park (home-season share, regressed): HR 139, 1B 93, 2B 103, 3B 95, K 111, BB 86 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .348 → .304; ISO .186 → .145; BABIP .329 → .323. 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 AAAFresno Grizzlies · 118 PAwOBA .365 → .304 (−61)K% 22.0% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.03%	÷0.996	×1.290	—	—	28.53%
BB% (unintentional) /PA	7.63%	÷1.008	×0.710	—	×1.050	5.64%
HBP% /PA	0.85%	—	×0.980	—	×1.050	0.87%
Singles /BIP	22.22%	÷1.000	×0.900	×1.050	×1.050	22.05%
Doubles /BIP	9.88%	÷1.061	×0.810	×1.050	×1.050	8.31%
Triples /BIP	0.00%	÷1.150	×0.810	×1.050	×1.050	0.00%
Home runs /BIP	6.17%	÷1.040	×0.780	—	×1.050	4.86%

Factors used: league row PCL. Park (home-season share, regressed): HR 108, 1B 100, 2B 112, 3B 130, K 99, BB 102 — applied at half strength. Age: age 23 vs a level average of 27.2 → +5.0% on BB/HBP/hit rates (4.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .365 → .304; ISO .215 → .164; BABIP .338 → .315. 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+Lancaster JetHawks · 398 PAwOBA .357 → .283 (−73)K% 23.9% → 34.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.87%	÷0.924	×1.340	—	—	34.63%
BB% (unintentional) /PA	11.81%	÷1.031	×0.710	—	×1.012	8.23%
HBP% /PA	1.01%	—	×0.790	—	×1.012	0.80%
Singles /BIP	22.89%	÷0.985	×0.910	×1.018	×1.012	21.79%
Doubles /BIP	4.02%	÷1.005	×0.820	×1.018	×1.012	3.37%
Triples /BIP	2.81%	÷1.150	×0.760	×1.018	×1.012	1.91%
Home runs /BIP	6.43%	÷0.964	×0.920	—	×1.012	6.21%

Factors used: league row CAL. Park (home-season share, regressed): HR 93, 1B 97, 2B 101, 3B 130, K 85, BB 106 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .357 → .283; ISO .209 → .168; BABIP .314 → .285. 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).