Dalton Kelly

Pos1B

B/TL/L

Born1994-08-04

Age (2027)32

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
2019	24	AAA/AATB	503	.281/.396/.405	10	12	92	—	.248/.338/.346
2021	26	AAATB	448	.244/.355/.512	27	17	80	—	.196/.276/.372
2022	27	AAAOAK	360	.219/.328/.416	15	7	54	—	.173/.256/.296

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)
2015	20	ROK	AZL Mariners	—	123	96	21	3	4	0	24	35	2	10	0	219	385	333	719	115	344	28	20	335	32	—	—	—	—	—	—
2016	21	A	Clinton LumberKings	—	564	481	141	30	4	7	63	114	11	21	10	293	387	416	803	123	367	20	11	358	88	—	—	—	—	—	—
2017	22	AA	Montgomery Biscuits	—	231	192	58	18	1	7	30	58	6	6	1	302	412	516	928	214	398	25	13	405	122	—	—	—	—	—	—
2017	22	A+	Charlotte Stone Crabs	—	276	236	72	17	1	2	29	55	5	5	8	305	393	411	804	106	387	20	11	357	91	—	—	—	—	—	—
2018	23	AA	Montgomery Biscuits	—	493	417	95	24	2	5	65	102	8	22	2	228	343	331	674	103	288	21	13	312	66	—	—	—	—	—	—
2019	24	AAA	Durham Bulls	—	298	258	73	13	1	7	33	75	4	5	1	283	373	422	795	140	369	25	11	355	84	—	—	—	—	—	—
2019	24	AA	Montgomery Biscuits	—	205	162	45	7	0	3	36	43	7	7	5	278	429	377	806	99	362	21	18	376	104	—	—	—	—	—	—
2021	26	AAA	Durham Bulls	—	448	377	92	20	0	27	60	129	5	17	3	244	355	512	867	268	286	29	13	375	80	—	—	—	—	—	—
2022	27	AAA	Las Vegas Aviators	—	360	310	68	12	2	15	44	118	6	7	3	219	328	416	744	197	299	33	12	334	54	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2015	20	ROK MLE	AZL Mariners	—	123	105	15	2	3	0	15	50	2	10	0	143	262	219	481	76	260	41	12	216	32	—	—	—	—	—	—
2016	21	A MLE	Clinton LumberKings	—	564	505	127	30	4	6	39	155	11	21	10	251	319	362	681	111	337	27	7	298	88	—	—	—	—	—	—
2017	22	AA MLE	Montgomery Biscuits	—	231	201	56	18	1	6	21	71	6	6	1	279	364	468	832	189	383	31	9	348	122	—	—	—	—	—	—
2017	22	A+ MLE	Charlotte Stone Crabs	—	276	243	63	16	1	2	22	77	5	5	8	259	333	358	691	99	355	28	8	302	91	—	—	—	—	—	—
2018	23	AA MLE	Montgomery Biscuits	—	493	439	93	23	2	4	43	118	8	22	2	212	294	301	595	89	274	24	9	266	66	—	—	—	—	—	—
2019	24	AAA MLE	Durham Bulls	—	298	267	64	10	1	5	24	88	4	5	1	240	312	341	653	101	330	30	8	293	84	—	—	—	—	—	—
2019	24	AA MLE	Montgomery Biscuits	—	205	173	45	7	0	3	25	53	7	7	5	260	376	353	728	92	352	26	12	322	104	—	—	—	—	—	—
2021	26	AAA MLE	Durham Bulls	—	448	398	78	16	0	18	39	151	5	17	3	196	276	372	648	176	249	34	9	286	80	—	—	—	—	—	—
2022	27	AAA MLE	Las Vegas Aviators	—	360	324	56	9	2	9	30	140	6	7	3	173	256	296	552	123	268	39	8	248	54	—	—	—	—	—	—
2015	20	ROK MLE	AZL Mariners	—	123	105	15	2	3	0	15	50	2	10	0	143	262	219	481	76	273	41	12	216	32	—	—	—	—	—	—
2015	20	ROK RAW	AZL Mariners	—	123	96	21	3	4	0	24	35	2	10	0	219	385	333	719	115	344	28	20	335	32	—	—	—	—	—	—
2016	21	A MLE	Clinton LumberKings	—	564	505	127	30	4	6	39	155	11	21	10	251	319	362	681	111	347	27	7	298	88	—	—	—	—	—	—
2016	21	A RAW	Clinton LumberKings	—	564	481	141	30	4	7	63	114	11	21	10	293	387	416	803	123	367	20	11	358	88	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	507	444	119	34	2	8	43	148	11	11	9	268	347	408	755	140	381	29	8	323	105	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	507	428	130	35	2	9	59	113	11	11	9	304	402	458	860	154	392	22	12	379	105	—	—	—	—	—	—
2018	23	AA MLE	Montgomery Biscuits	—	493	439	93	23	2	4	43	118	8	22	2	212	294	301	595	89	279	24	9	266	66	—	—	—	—	—	—
2018	23	AA RAW	Montgomery Biscuits	—	493	417	95	24	2	5	65	102	8	22	2	228	343	331	674	103	288	21	13	312	66	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	503	440	109	17	1	8	49	142	11	12	6	248	338	345	683	98	345	28	10	305	92	—	—	—	—	—	—
2019	24	AAA RAW	2 teams	—	503	420	118	20	1	10	69	118	11	12	6	281	396	405	801	124	366	23	14	364	92	—	—	—	—	—	—
2021	26	AAA MLE	Durham Bulls	—	448	398	78	16	0	18	39	151	5	17	3	196	276	372	648	176	255	34	9	286	80	—	—	—	—	—	—
2021	26	AAA RAW	Durham Bulls	—	448	377	92	20	0	27	60	129	5	17	3	244	355	512	867	268	286	29	13	375	80	—	—	—	—	—	—
2022	27	AAA MLE	Las Vegas Aviators	—	360	324	56	9	2	9	30	140	6	7	3	173	256	296	552	123	269	39	8	248	54	—	—	—	—	—	—
2022	27	AAA RAW	Las Vegas Aviators	—	360	310	68	12	2	15	44	118	6	7	3	219	328	416	744	197	299	33	12	334	54	—	—	—	—	—	—
2015	20	ROK MLE	AZL Mariners	—	123	105	15	2	3	0	15	50	2	10	0	143	262	219	481	76	260	41	12	216	32	—	—	—	—	—	—
2016	21	A MLE	Clinton LumberKings	—	564	509	127	30	4	6	39	155	11	21	10	250	319	360	678	110	337	27	7	298	88	—	—	—	—	—	—
2017	22	A+ MLE	2 teams	—	507	448	119	34	2	8	43	148	11	11	9	266	347	404	751	138	368	29	8	323	105	—	—	—	—	—	—
2018	23	AA MLE	Montgomery Biscuits	—	493	439	93	23	2	4	43	118	8	22	2	212	294	301	595	89	274	24	9	266	66	—	—	—	—	—	—
2019	24	AAA MLE	2 teams	—	503	438	109	17	1	8	49	142	11	12	6	249	338	347	685	98	339	28	10	305	92	—	—	—	—	—	—
2021	26	AAA MLE	Durham Bulls	—	448	401	78	16	0	18	39	151	5	17	3	195	276	369	645	175	249	34	9	286	80	—	—	—	—	—	—
2022	27	AAA MLE	Las Vegas Aviators	—	360	321	56	9	2	9	30	140	6	7	3	174	256	299	555	125	268	39	8	248	54	—	—	—	—	—	—
▸ Career Totals
Career	—	MLE		—	2998	2655	597	131	14	53	258	904	54	100	33	225	306	345	651	120	317	30	9	287	80	-70	+7	+0	-54	+65	-5.3
/ 162G	—	MLE		—	650	576	129	28	3	11	56	196	12	22	7	224	306	340	647	116	316	30	9	287	80	-15	+2	+0	-12	+14	-1.1

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 AAALas Vegas Aviators · 360 PAwOBA .324 → .248 (−76)K% 32.8% → 39.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	32.78%	÷1.009	×1.200	—	—	38.97%
BB% (unintentional) /PA	11.94%	÷0.992	×0.690	—	×0.992	8.24%
HBP% /PA	1.67%	—	×0.940	—	×0.992	1.55%
Singles /BIP	20.31%	÷0.995	×0.930	×1.031	×0.992	19.41%
Doubles /BIP	6.25%	÷1.088	×0.830	×1.031	×0.992	4.88%
Triples /BIP	1.04%	÷0.900	×0.970	×1.031	×0.992	1.15%
Home runs /BIP	7.81%	÷1.075	×0.700	—	×0.992	5.05%

Factors used: league row International League. Park (home-season share, regressed): HR 115, 1B 99, 2B 118, 3B 80, K 102, BB 98 — 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 ×1.031.

Result: wOBA .324 → .248; ISO .197 → .133; BABIP .299 → .268. 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 AAADurham Bulls · 448 PAwOBA .369 → .286 (−83)K% 28.8% → 33.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.79%	÷1.029	×1.200	—	—	33.59%
BB% (unintentional) /PA	12.95%	÷1.016	×0.690	—	×1.003	8.82%
HBP% /PA	1.12%	—	×0.940	—	×1.003	1.05%
Singles /BIP	18.15%	÷0.945	×0.930	×0.980	×1.003	17.55%
Doubles /BIP	8.06%	÷1.067	×0.830	×0.980	×1.003	6.16%
Triples /BIP	0.00%	÷1.150	×0.920	×0.980	×1.003	0.00%
Home runs /BIP	10.89%	÷1.059	×0.700	—	×1.003	7.22%

Factors used: level-wide AAA factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 112, 1B 89, 2B 113, 3B 130, K 106, BB 103 — 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 ×0.980.

Result: wOBA .369 → .286; ISO .268 → .187; BABIP .286 → .249. 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 AAADurham Bulls · 298 PAwOBA .350 → .293 (−57)K% 25.2% → 29.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.17%	÷1.020	×1.200	—	—	29.60%
BB% (unintentional) /PA	11.07%	÷0.998	×0.690	—	×1.033	7.91%
HBP% /PA	1.34%	—	×0.940	—	×1.033	1.30%
Singles /BIP	28.42%	÷0.986	×0.930	×0.950	×1.033	26.29%
Doubles /BIP	7.10%	÷1.006	×0.830	×0.950	×1.033	5.75%
Triples /BIP	0.55%	÷1.025	×0.970	×0.950	×1.033	0.51%
Home runs /BIP	3.83%	÷1.128	×0.840	—	×1.033	2.94%

Factors used: league row IL. Park (home-season share, regressed): HR 126, 1B 97, 2B 101, 3B 105, K 104, 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 ×0.950.

Result: wOBA .350 → .293; ISO .140 → .110; BABIP .369 → .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).

2019 AAMontgomery Biscuits · 205 PAwOBA .368 → .322 (−46)K% 21.0% → 26.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.98%	÷0.985	×1.220	—	—	25.98%
BB% (unintentional) /PA	17.56%	÷0.963	×0.680	—	×0.998	12.37%
HBP% /PA	3.41%	—	×0.840	—	×0.998	2.86%
Singles /BIP	29.41%	÷0.978	×0.920	×1.050	×0.998	28.99%
Doubles /BIP	5.88%	÷1.028	×0.910	×1.050	×0.998	5.45%
Triples /BIP	0.00%	÷1.150	×0.880	×1.050	×0.998	0.00%
Home runs /BIP	2.52%	÷0.920	×0.800	—	×0.998	2.19%

Factors used: league row SL. Park (home-season share, regressed): HR 84, 1B 96, 2B 106, 3B 130, K 97, BB 93 — applied at half strength. Age: age 25 vs a level average of 24.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.050.

Result: wOBA .368 → .322; ISO .099 → .089; BABIP .362 → .352. 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 AAMontgomery Biscuits · 493 PAwOBA .305 → .266 (−39)K% 20.7% → 23.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷1.055	×1.220	—	—	23.92%
BB% (unintentional) /PA	12.98%	÷1.031	×0.680	—	×1.012	8.67%
HBP% /PA	1.62%	—	×0.840	—	×1.012	1.38%
Singles /BIP	20.32%	÷0.965	×0.920	×1.003	×1.012	19.66%
Doubles /BIP	7.62%	÷1.007	×0.910	×1.003	×1.012	6.99%
Triples /BIP	0.63%	÷1.010	×0.880	×1.003	×1.012	0.56%
Home runs /BIP	1.59%	÷0.984	×0.800	—	×1.012	1.31%

Factors used: league row SL. Park (home-season share, regressed): HR 97, 1B 93, 2B 101, 3B 102, K 111, BB 106 — 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 ×1.003.

Result: wOBA .305 → .266; ISO .103 → .094; BABIP .288 → .274. 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+Charlotte Stone Crabs · 276 PAwOBA .351 → .302 (−49)K% 19.9% → 27.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.93%	÷1.017	×1.420	—	—	27.83%
BB% (unintentional) /PA	10.51%	÷0.967	×0.750	—	×0.998	8.13%
HBP% /PA	1.81%	—	×0.930	—	×0.998	1.68%
Singles /BIP	28.73%	÷1.073	×0.920	×1.047	×0.998	25.73%
Doubles /BIP	9.39%	÷1.007	×0.960	×1.047	×0.998	9.35%
Triples /BIP	0.55%	÷1.024	×0.810	×1.047	×0.998	0.46%
Home runs /BIP	1.10%	÷0.917	×0.880	—	×0.998	1.06%

Factors used: league row FSL. Park (home-season share, regressed): HR 83, 1B 115, 2B 102, 3B 105, K 103, BB 93 — 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 ×1.047.

Result: wOBA .351 → .302; ISO .106 → .098; BABIP .387 → .355. 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 AAMontgomery Biscuits · 231 PAwOBA .397 → .348 (−49)K% 25.1% → 30.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.11%	÷0.994	×1.220	—	—	30.82%
BB% (unintentional) /PA	12.99%	÷1.018	×0.680	—	×1.027	8.91%
HBP% /PA	2.60%	—	×0.840	—	×1.027	2.24%
Singles /BIP	23.88%	÷1.013	×0.920	×1.038	×1.027	23.11%
Doubles /BIP	13.43%	÷0.986	×0.910	×1.038	×1.027	13.21%
Triples /BIP	0.75%	÷1.146	×0.880	×1.038	×1.027	0.61%
Home runs /BIP	5.22%	÷1.008	×0.800	—	×1.027	4.26%

Factors used: league row SL. Park (home-season share, regressed): HR 102, 1B 103, 2B 97, 3B 129, K 99, BB 104 — 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 ×1.038.

Result: wOBA .397 → .348; ISO .214 → .190; BABIP .398 → .383. 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 AClinton LumberKings · 564 PAwOBA .349 → .298 (−51)K% 20.2% → 27.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.21%	÷1.003	×1.360	—	—	27.41%
BB% (unintentional) /PA	10.28%	÷1.019	×0.690	—	—	6.96%
HBP% /PA	1.95%	—	×0.780	—	—	1.52%
Singles /BIP	27.25%	÷1.055	×0.920	×1.018	—	24.19%
Doubles /BIP	8.17%	÷0.832	×0.830	×1.018	—	8.30%
Triples /BIP	1.09%	÷0.900	×0.910	×1.018	—	1.12%
Home runs /BIP	1.91%	÷0.976	×0.800	—	—	1.56%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 111, 2B 66, 3B 80, K 101, BB 104 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.018.

Result: wOBA .349 → .298; ISO .123 → .114; BABIP .367 → .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).