Derrick Loveless

PosRF

B/TL/R

Born1993-03-07

Age (2027)34

No MLB projection yet. Career stats below are historical.

Overview

AALAST SEASON 2017

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2015	22	A+/INTL2 orgs	593	.211/.328/.357	14	12	61	—	.163/.253/.254
2016	23	AA/A+TOR	401	.237/.339/.415	10	11	58	—	.190/.263/.320
2017	24	AA/A+TOR	324	.264/.391/.355	1	5	86	—	.242/.334/.323

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)
2011	18	ROK	GCL Blue Jays	—	21	17	1	0	0	0	3	7	0	0	0	59	200	59	259		100	33	14	143	-50	—	—	—	—	—	—
2012	19	ROK	GCL Blue Jays	—	133	115	19	5	4	1	16	38	2	2	0	165	278	304	583	139	237	29	12	269	5	—	—	—	—	—	—
2013	20	ROK	Bluefield Blue Jays	—	210	177	40	6	6	2	28	47	0	3	1	226	332	362	693	136	292	22	13	308	40	—	—	—	—	—	—
2014	21	A	Lansing Lugnuts	—	508	428	113	18	9	6	66	120	3	17	7	264	366	390	756	126	349	24	13	336	78	—	—	—	—	—	—
2015	22	A+	Dunedin Blue Jays	—	450	385	83	16	2	10	58	110	3	8	4	216	323	345	668	130	273	24	13	305	45	—	—	—	—	—	—
2015	22	INTL	Canberra Cavalry	—	143	117	23	5	3	4	25	35	1	4	2	197	343	393	736	197	244	24	17	334	112	—	—	—	—	—	—
2016	23	AA	New Hampshire Fisher Cats	—	197	169	35	8	3	7	25	56	1	3	3	207	313	414	727	207	262	28	13	321	55	—	—	—	—	—	—
2016	23	A+	Dunedin Blue Jays	—	204	173	46	11	3	3	27	55	0	8	3	266	365	416	781	150	368	27	13	345	61	—	—	—	—	—	—
2017	24	AA	New Hampshire Fisher Cats	—	234	190	48	9	1	1	38	55	2	2	5	253	383	326	709	74	346	24	16	328	82	—	—	—	—	—	—
2017	24	A+	Dunedin Blue Jays	—	90	75	22	10	0	0	14	18	1	3	0	293	411	427	838	133	386	20	16	380	96	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2011	18	ROK MLE	GCL Blue Jays	—	21	18	1	0	0	0	2	10	0	0	0	56	150	56	206		84	48	10	94	-50	—	—	—	—	—	—
2012	19	ROK MLE	GCL Blue Jays	—	133	121	14	3	3	1	10	55	2	2	0	116	195	215	410	99	190	41	8	176	5	—	—	—	—	—	—
2013	20	ROK MLE	Bluefield Blue Jays	—	210	187	32	4	4	2	18	67	0	3	1	171	244	267	511	96	246	32	9	228	40	—	—	—	—	—	—
2014	21	A MLE	Lansing Lugnuts	—	508	449	106	15	7	5	45	161	3	17	7	236	310	334	644	98	337	32	9	284	78	—	—	—	—	—	—
2015	22	A+ MLE	Dunedin Blue Jays	—	450	398	65	13	1	7	45	164	3	8	4	163	253	254	507	90	253	36	10	235	45	—	—	—	—	—	—
2016	23	AA MLE	New Hampshire Fisher Cats	—	197	178	31	7	3	4	16	71	1	3	3	174	246	315	561	140	257	36	8	250	55	—	—	—	—	—	—
2016	23	A+ MLE	Dunedin Blue Jays	—	204	181	37	9	2	3	19	82	0	8	3	204	280	326	606	122	325	40	9	259	61	—	—	—	—	—	—
2017	24	AA MLE	New Hampshire Fisher Cats	—	234	201	48	8	1	1	27	67	2	2	5	239	335	303	638	65	340	29	12	289	82	—	—	—	—	—	—
2017	24	A+ MLE	Dunedin Blue Jays	—	90	80	20	10	0	0	9	25	1	3	0	250	333	375	708	125	361	28	10	310	96	—	—	—	—	—	—
2011	18	ROK MLE	GCL Blue Jays	—	21	18	1	0	0	0	2	10	0	0	0	56	150	56	206		125	48	10	94	-50	—	—	—	—	—	—
2011	18	ROK RAW	GCL Blue Jays	—	21	17	1	0	0	0	3	7	0	0	0	59	200	59	259		100	33	14	143	-50	—	—	—	—	—	—
2012	19	ROK MLE	GCL Blue Jays	—	133	121	14	3	3	1	10	55	2	2	0	116	195	215	410	99	200	41	8	176	5	—	—	—	—	—	—
2012	19	ROK RAW	GCL Blue Jays	—	133	115	19	5	4	1	16	38	2	2	0	165	278	304	583	139	237	29	12	269	5	—	—	—	—	—	—
2013	20	ROK MLE	Bluefield Blue Jays	—	210	187	32	4	4	2	18	67	0	3	1	171	244	267	511	96	250	32	9	228	40	—	—	—	—	—	—
2013	20	ROK RAW	Bluefield Blue Jays	—	210	177	40	6	6	2	28	47	0	3	1	226	332	362	693	136	292	22	13	308	40	—	—	—	—	—	—
2014	21	A MLE	Lansing Lugnuts	—	508	449	106	15	7	5	45	161	3	17	7	236	310	334	644	98	351	32	9	284	78	—	—	—	—	—	—
2014	21	A RAW	Lansing Lugnuts	—	508	428	113	18	9	6	66	120	3	17	7	264	366	390	756	126	349	24	13	336	78	—	—	—	—	—	—
2015	22	A+ MLE	2 teams	—	593	526	87	17	2	10	59	216	4	12	6	165	255	262	517	97	255	36	10	235	45	—	—	—	—	—	—
2015	22	A+ RAW	2 teams	—	593	502	106	21	5	14	83	145	4	12	6	211	328	357	684	145	267	24	14	312	45	—	—	—	—	—	—
2016	23	A+ MLE	2 teams	—	401	359	68	16	5	7	35	152	1	11	6	189	263	320	584	131	300	38	9	255	58	—	—	—	—	—	—
2016	23	A+ RAW	2 teams	—	401	342	81	19	6	10	52	111	1	11	6	237	339	415	754	178	317	28	13	333	58	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	324	281	69	18	1	1	36	92	3	5	5	246	338	327	665	82	358	28	11	295	86	—	—	—	—	—	—
2017	24	AA RAW	2 teams	—	324	265	70	19	1	1	52	73	3	5	5	264	391	355	745	91	358	23	16	342	86	—	—	—	—	—	—
2011	18	ROK MLE	GCL Blue Jays	—	21	19	1	0	0	0	2	10	0	0	0	53	150	53	203		84	48	10	94	-50	—	—	—	—	—	—
2012	19	ROK MLE	GCL Blue Jays	—	133	120	14	3	3	1	10	55	2	2	0	117	195	217	412	100	190	41	8	176	5	—	—	—	—	—	—
2013	20	ROK MLE	Bluefield Blue Jays	—	210	190	32	4	4	2	18	67	0	3	1	168	244	263	507	95	246	32	9	228	40	—	—	—	—	—	—
2014	21	A MLE	Lansing Lugnuts	—	508	455	106	15	7	5	45	161	3	17	7	233	310	330	640	97	337	32	9	284	78	—	—	—	—	—	—
2015	22	A+ MLE	2 teams	—	593	525	87	17	2	10	59	216	4	12	6	166	255	263	518	97	253	36	10	235	45	—	—	—	—	—	—
2016	23	A+ MLE	2 teams	—	401	362	68	16	5	7	35	152	1	11	6	188	263	318	581	130	292	38	9	255	58	—	—	—	—	—	—
2017	24	AA MLE	2 teams	—	324	282	69	18	1	1	36	92	3	5	5	245	338	326	664	82	346	28	11	295	86	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2190	1941	377	73	22	26	205	753	13	50	25	194	276	295	570	100	298	34	9	253	58	-111	+0	+0	-23	+47	-8.9
/ 162G	—	MLE		—	650	576	113	22	7	8	61	223	4	15	7	196	278	300	578	104	301	34	9	253	58	-33	+0	+0	-7	+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.

2017 AANew Hampshire Fisher Cats · 234 PAwOBA .323 → .289 (−34)K% 23.5% → 28.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.50%	÷1.007	×1.220	—	—	28.49%
BB% (unintentional) /PA	16.24%	÷0.995	×0.700	—	×1.012	11.57%
HBP% /PA	0.85%	—	×0.850	—	×1.012	0.74%
Singles /BIP	27.41%	÷1.024	×0.970	×1.050	×1.012	27.58%
Doubles /BIP	6.67%	÷1.024	×0.860	×1.050	×1.012	5.95%
Triples /BIP	0.74%	÷0.900	×0.950	×1.050	×1.012	0.83%
Home runs /BIP	0.74%	÷1.165	×0.780	—	×1.012	0.50%

Factors used: league row EL. Park (home-season share, regressed): HR 133, 1B 105, 2B 105, 3B 80, K 101, BB 99 — 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 ×1.050.

Result: wOBA .323 → .289; ISO .074 → .066; BABIP .346 → .340. 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 A+Dunedin Blue Jays · 90 PAwOBA .367 → .310 (−58)K% 20.0% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.00%	÷1.007	×1.420	—	—	28.21%
BB% (unintentional) /PA	14.44%	÷1.118	×0.750	—	×0.988	9.58%
HBP% /PA	1.11%	—	×0.930	—	×0.988	1.02%
Singles /BIP	21.05%	÷1.002	×0.920	×0.980	×0.988	18.72%
Doubles /BIP	17.54%	÷0.940	×0.960	×0.980	×0.988	17.35%
Triples /BIP	0.00%	÷1.150	×0.810	×0.980	×0.988	0.00%
Home runs /BIP	0.00%	÷1.265	×0.880	—	×0.988	0.00%

Factors used: league row FSL. Park (home-season share, regressed): HR 153, 1B 100, 2B 88, 3B 130, K 101, BB 124 — applied at half strength. Age: age 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.980.

Result: wOBA .367 → .310; ISO .133 → .127; BABIP .386 → .361. 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 A+Dunedin Blue Jays · 204 PAwOBA .338 → .259 (−79)K% 27.0% → 40.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.96%	÷0.955	×1.420	—	—	40.11%
BB% (unintentional) /PA	12.75%	÷1.038	×0.750	—	×0.998	9.19%
HBP% /PA	0.00%	—	×0.930	—	×0.998	0.00%
Singles /BIP	24.58%	÷1.042	×0.920	×1.016	×0.998	22.00%
Doubles /BIP	9.32%	÷1.064	×0.960	×1.016	×0.998	8.53%
Triples /BIP	2.54%	÷1.150	×0.810	×1.016	×0.998	1.82%
Home runs /BIP	2.54%	÷0.912	×0.880	—	×0.998	2.45%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 108, 2B 113, 3B 130, K 91, BB 108 — 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 ×1.016.

Result: wOBA .338 → .259; ISO .150 → .117; BABIP .368 → .325. 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 AANew Hampshire Fisher Cats · 197 PAwOBA .312 → .250 (−63)K% 28.4% → 35.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.43%	÷0.969	×1.220	—	—	35.79%
BB% (unintentional) /PA	12.18%	÷1.079	×0.700	—	×1.027	8.11%
HBP% /PA	0.51%	—	×0.850	—	×1.027	0.44%
Singles /BIP	15.04%	÷0.995	×0.970	×1.046	×1.027	15.76%
Doubles /BIP	7.08%	÷1.000	×0.860	×1.046	×1.027	6.54%
Triples /BIP	2.65%	÷1.031	×0.950	×1.046	×1.027	2.63%
Home runs /BIP	6.19%	÷1.292	×0.780	—	×1.027	3.84%

Factors used: league row EL. Park (home-season share, regressed): HR 158, 1B 99, 2B 100, 3B 106, K 94, BB 116 — 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 ×1.046.

Result: wOBA .312 → .250; ISO .207 → .151; BABIP .262 → .257. 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+Dunedin Blue Jays · 450 PAwOBA .298 → .235 (−62)K% 24.4% → 36.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.44%	÷0.953	×1.420	—	—	36.43%
BB% (unintentional) /PA	12.67%	÷0.974	×0.750	—	×1.012	9.87%
HBP% /PA	0.67%	—	×0.930	—	×1.012	0.63%
Singles /BIP	20.00%	÷1.040	×0.920	×1.037	×1.012	18.57%
Doubles /BIP	5.82%	÷1.063	×0.960	×1.037	×1.012	5.51%
Triples /BIP	0.73%	÷0.989	×0.810	×1.037	×1.012	0.63%
Home runs /BIP	3.64%	÷1.059	×0.880	—	×1.012	3.06%

Factors used: league row FSL. Park (home-season share, regressed): HR 112, 1B 108, 2B 113, 3B 98, K 91, BB 95 — 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 ×1.037.

Result: wOBA .298 → .235; ISO .130 → .099; BABIP .273 → .253. 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 ALansing Lugnuts · 508 PAwOBA .331 → .284 (−47)K% 23.6% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.62%	÷1.017	×1.360	—	—	31.60%
BB% (unintentional) /PA	12.99%	÷1.038	×0.690	—	×1.015	8.76%
HBP% /PA	0.59%	—	×0.780	—	×1.015	0.47%
Singles /BIP	25.97%	÷0.968	×0.920	×1.048	×1.015	26.25%
Doubles /BIP	5.84%	÷1.042	×0.830	×1.048	×1.015	4.95%
Triples /BIP	2.92%	÷1.135	×0.910	×1.048	×1.015	2.49%
Home runs /BIP	1.95%	÷0.872	×0.800	—	×1.015	1.81%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 74, 1B 94, 2B 108, 3B 127, K 103, BB 108 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.048.

Result: wOBA .331 → .284; ISO .126 → .108; BABIP .349 → .337. 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 ROKBluefield Blue Jays · 210 PAwOBA .303 → .228 (−76)K% 22.4% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.38%	÷1.000	×1.420	—	—	31.78%
BB% (unintentional) /PA	13.33%	÷1.000	×0.640	—	×0.995	8.49%
HBP% /PA	0.00%	—	×0.740	—	×0.995	0.00%
Singles /BIP	20.00%	÷1.000	×0.840	×1.050	×0.995	17.55%
Doubles /BIP	4.62%	÷1.000	×0.740	×1.050	×0.995	3.57%
Triples /BIP	4.62%	÷1.000	×0.740	×1.050	×0.995	3.57%
Home runs /BIP	1.54%	÷1.000	×0.800	—	×0.995	1.22%

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 20 vs a level average of 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .303 → .228; ISO .136 → .102; BABIP .292 → .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).

2012 ROKGCL Blue Jays · 133 PAwOBA .262 → .176 (−87)K% 28.6% → 41.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.000	×1.440	—	—	41.14%
BB% (unintentional) /PA	12.03%	÷1.000	×0.620	—	×1.008	7.51%
HBP% /PA	1.50%	—	×0.720	—	×1.008	1.09%
Singles /BIP	11.69%	÷1.000	×0.820	×1.036	×1.008	10.00%
Doubles /BIP	6.49%	÷1.000	×0.720	×1.036	×1.008	4.88%
Triples /BIP	5.19%	÷1.000	×0.720	×1.036	×1.008	3.90%
Home runs /BIP	1.30%	÷1.000	×0.780	—	×1.008	1.02%

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 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.036.

Result: wOBA .262 → .176; ISO .139 → .092; BABIP .237 → .190. 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 — .