Dylan Moore

2B Lehigh Valley IronPigs

Age 34 R/R 6'1" / 205 lbs AAA HR +14% Svc 7.221 · Ctrl thru 2027

Overview

AAAExt / FA-dealFA 2028

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	31	MLBSEA	441	.201/.324/.367	10	32	98	1.9
2025	32	MLBTEX	243	.201/.271/.374	11	14	74	-0.4
2026	33	AAAPHI	357	.239/.323/.373	8	20	41	—	.181/.244/.270
2026	33	MLBPHI	15	.000/.200/.000	0	1	-19	-0.0
2027PROJ10% MLB	34	MLBPHI	23	.200/.278/.345	1	1	74	0.0
2028PROJ	35	MLBPHI	172	.189/.266/.322	5	5	64	-0.8

Last 3 seasons WAR 1.4 · Next 2 projected WAR -0.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2027Service7.221First FA2028

2027Ext / FA-deal$1M

Skills · percentileStatcast 2024-2026

Bat Spd69

Speed55

Barrel%52

xwOBA29

Avg EV25

CompsMark Little (age 34) · Justin Leone (age 32) · Drew Maggi (age 34)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 7674vR 66

AVG/OBP/SLG.200 / .278 / .345

PA23

HR1

K%30

BB%9

BABIP257

ISO190

MLB%10%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Splits · ContractCON 35 / POW 50

Toolsscout grade · Statcast %ile · 2024-2026

CONTACT35

xAVG

100.192

POWER50

Barrel%

528.5

Avg EV

2587.2

Bat Spd

6973.3

EYE60

scouting grade only

SPEED55

Sprint

5527.7

Platoon Splits2024-2025 · 684 PA

vs LHP

vs RHP

Edge

308

376

—

wRC+

◀L

wOBA

307

294

◀L

ISO

171

166

—

BABIP

266

257

◀L

31.5%

28.7%

▶R

BB%

12.7%

8.8%

◀◀L

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status FA

MLB Debut 2019

Service 7.221 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$0.0M	-$1M

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)
2016	23	A+	Carolina Mudcats	—	121	109	38	11	0	5	9	18	2	5	2	349	408	587	995	239	379	15	7	431	102	—	—	—	—	—	—
2016	23	A	Hickory Crawdads	—	414	340	83	18	3	9	54	77	17	37	9	244	375	394	769	150	288	19	13	350	65	—	—	—	—	—	—
2016	23	INTL	Salt River Rafters	—	45	41	13	3	0	2	3	4	1	2	2	317	378	537	914	220	314	9	7	402	158	—	—	—	—	—	—
2017	24	AA	Mississippi Braves	—	482	421	87	15	0	7	45	96	7	10	8	207	294	292	586	86	248	20	9	268	35	—	—	—	—	—	—
2018	25	AAA	Colorado Springs Sky Sox	—	363	325	91	24	6	11	28	52	6	17	6	280	347	492	840	212	303	14	8	365	75	—	—	—	—	—	—
2018	25	AA	Biloxi Shuckers	—	91	83	31	7	3	3	7	16	1	6	1	373	429	639	1.067	265	438	18	8	461	150	—	—	—	—	—	—
2018	25	INTL	Tomateros de Culiacan	—	54	48	10	1	0	0	4	9	1	1	1	208	283	229	512	21	256	17	7	240	49	—	—	—	—	—	—
2019	26	MLB	Seattle Mariners	—	282	247	51	14	2	9	25	93	9	11	9	206	302	389	691	182	290	33	9	310	99	-0	-1	+3	+3	+6	1.1
2019	26	AAA	Tacoma Rainiers	—	35	29	5	0	0	0	3	3	2	2	1	172	294	172	467		192	9	9	231	22	—	—	—	—	—	—
2020	27	MLB	Seattle Mariners	—	159	137	35	9	0	8	14	43	8	12	5	255	358	496	855	241	314	27	9	378	145	+9	+0	-1	-2	+3	1.0
2021	28	MLB	Seattle Mariners	—	377	332	60	11	2	12	40	111	4	21	5	181	277	334	611	154	229	29	11	278	76	-11	+2	+8	+1	+8	0.9
2022	29	MLB	Seattle Mariners	—	255	205	46	11	2	6	34	75	13	21	8	224	368	385	753	161	320	29	13	343	117	+5	+1	+1	-3	+6	1.0
2023	30	MLB	Seattle Mariners	—	165	145	30	9	1	7	16	56	4	7	3	207	303	428	731	221	280	34	10	325	109	+2	+0	-1	-2	+4	0.3
2023	30	AAA	Tacoma Rainiers	—	30	25	5	1	0	0	4	9	1	1	1	200	333	240	573	40	312	30	13	281	37	—	—	—	—	—	—
2024	31	MLB	Seattle Mariners	—	441	368	74	23	4	10	53	123	14	32	6	201	324	367	691	166	267	28	12	312	98	-1	+4	+1	+5	+10	1.9
2025	32	MLB	Texas Rangers	—	243	219	44	5	0	11	20	82	1	14	5	201	271	374	645	174	256	34	8	285	74	-7	+1	-4	+1	+5	-0.4
2026	33	MLB	Philadelphia Phillies	—	15	12	0	0	0	0	3	6	0	1	0		200		200			40	20	140	-19	-2	+0	-0	+1	+0	-0.0
2026	33	AAA	Lehigh Valley IronPigs	—	357	314	75	16	1	8	34	94	5	20	3	239	323	373	696	134	310	26	10	312	41	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	1937	1665	340	82	11	63	205	589	53	119	41	204	311	380	691	176	271	30	11	311	97	-8	+7	+7	+5	+42	5.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2016	23	A+ MLE	Carolina Mudcats	—	121	112	30	8	0	3	6	25	2	5	2	268	317	420	736	152	311	21	5	319	102	—	—	—	—	—	—
2016	23	A MLE	Hickory Crawdads	—	414	359	68	15	3	7	35	104	17	37	9	189	292	306	598	117	238	25	8	264	65	—	—	—	—	—	—
2017	24	AA MLE	Mississippi Braves	—	482	436	77	14	0	6	30	120	7	10	8	177	241	250	491	73	220	25	6	220	35	—	—	—	—	—	—
2018	25	AAA MLE	Colorado Springs Sky Sox	—	363	335	74	19	4	8	19	73	6	17	6	221	275	373	648	152	253	20	5	279	75	—	—	—	—	—	—
2018	25	AA MLE	Biloxi Shuckers	—	91	85	28	7	3	2	5	21	1	6	1	329	374	553	927	224	417	23	5	390	150	—	—	—	—	—	—
2019	26	MLB MLE	Seattle Mariners	—	282	247	51	14	2	9	25	93	9	11	9	206	302	389	691	182	290	33	9	314	99	-0	-1	+3	+3	+6	1.1
2019	26	AAA MLE	Tacoma Rainiers	—	35	30	5	0	0	0	2	4	2	2	1	167	265	167	431		176	11	6	201	22	—	—	—	—	—	—
2020	27	MLB MLE	Seattle Mariners	—	159	137	35	9	0	8	14	43	8	12	5	255	358	496	855	241	314	27	9	383	145	+9	+0	-1	-2	+3	1.0
2021	28	MLB MLE	Seattle Mariners	—	377	332	60	11	2	12	40	111	4	21	5	181	277	334	611	154	229	29	11	281	76	-11	+2	+8	+1	+8	0.9
2022	29	MLB MLE	Seattle Mariners	—	255	208	46	11	2	6	32	75	13	21	8	221	360	380	739	159	320	29	13	341	117	+5	+1	+1	-3	+6	1.0
2023	30	MLB MLE	Seattle Mariners	—	165	145	30	9	1	7	16	56	4	7	3	207	303	428	731	221	280	34	10	329	109	+2	+0	-1	-2	+4	0.3
2023	30	AAA MLE	Tacoma Rainiers	—	30	26	5	1	0	0	3	11	1	1	1	192	300	231	531	38	279	37	10	223	37	—	—	—	—	—	—
2024	31	MLB MLE	Seattle Mariners	—	441	369	74	23	4	10	52	123	14	32	6	201	322	366	688	165	267	28	12	313	98	-1	+4	+1	+5	+10	1.9
2025	32	MLB MLE	Texas Rangers	—	243	219	43	5	0	10	20	82	1	14	5	196	267	356	623	160	256	34	8	278	74	-7	+1	-4	+1	+5	-0.4
2026	33	MLB MLE	Philadelphia Phillies	—	15	12	0	0	0	0	3	6	0	1	0		200		200			40	20	140	-19	-2	+0	-0	+1	+0	-0.0
2026	33	AAA MLE	Lehigh Valley IronPigs	—	357	326	59	12	1	5	22	113	5	20	3	181	244	270	514	89	248	32	6	229	41	—	—	—	—	—	—
2016	23	A MLE	3 teams	—	580	512	106	25	3	11	44	140	20	44	13	207	295	332	627	125	260	24	8	276	73	—	—	—	—	—	—
2016	23	A RAW	3 teams	—	580	490	134	32	3	16	66	99	20	44	13	273	382	449	831	176	311	17	11	371	73	—	—	—	—	—	—
2017	24	AA MLE	Mississippi Braves	—	482	436	77	14	0	6	30	120	7	10	8	177	241	250	491	73	226	25	6	220	35	—	—	—	—	—	—
2017	24	AA RAW	Mississippi Braves	—	482	421	87	15	0	7	45	96	7	10	8	207	294	292	586	86	248	20	9	268	35	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	508	470	114	28	8	11	26	105	8	24	8	243	294	406	700	164	289	21	5	301	90	—	—	—	—	—	—
2018	25	AAA RAW	3 teams	—	508	456	132	32	9	14	39	77	8	24	8	289	355	491	846	202	322	15	8	369	90	—	—	—	—	—	—
2019	26	MLB MLE	2 teams	—	317	277	56	14	2	9	27	97	11	13	10	202	298	365	663	162	275	31	9	301	90	-4	-1	+3	+3	+7	0.8
2019	26	MLB RAW	2 teams	—	317	276	56	14	2	9	28	96	11	13	10	203	302	366	668	163	275	30	9	302	90	-4	-1	+3	+3	+7	0.8
2020	27	MLB MLE	Seattle Mariners	—	159	137	35	9	0	8	14	43	8	12	5	255	358	496	855	241	314	27	9	383	145	+9	+0	-1	-2	+3	1.0
2020	27	MLB RAW	Seattle Mariners	—	159	137	35	9	0	8	14	43	8	12	5	255	358	496	855	241	314	27	9	378	145	+9	+0	-1	-2	+3	1.0
2021	28	MLB MLE	Seattle Mariners	—	377	332	60	11	2	12	40	111	4	21	5	181	277	334	611	154	229	29	11	281	76	-11	+2	+8	+1	+8	0.9
2021	28	MLB RAW	Seattle Mariners	—	377	332	60	11	2	12	40	111	4	21	5	181	277	334	611	154	229	29	11	278	76	-11	+2	+8	+1	+8	0.9
2022	29	MLB MLE	Seattle Mariners	—	255	208	46	11	2	6	32	75	13	21	8	221	360	380	739	159	312	29	13	341	117	+5	+1	+1	-3	+6	1.0
2022	29	MLB RAW	Seattle Mariners	—	255	205	46	11	2	6	34	75	13	21	8	224	368	385	753	161	320	29	13	343	117	+5	+1	+1	-3	+6	1.0
2023	30	MLB MLE	2 teams	—	195	171	35	10	1	7	19	67	5	8	4	205	303	398	700	193	289	34	10	313	98	-1	+0	-1	-2	+4	0.1
2023	30	MLB RAW	2 teams	—	195	170	35	10	1	7	20	65	5	8	4	206	308	400	708	194	286	33	10	318	98	-1	+0	-1	-2	+4	0.1
2024	31	MLB MLE	Seattle Mariners	—	441	369	74	23	4	10	52	123	14	32	6	201	322	366	688	165	266	28	12	313	98	-1	+4	+1	+5	+10	1.9
2024	31	MLB RAW	Seattle Mariners	—	441	368	74	23	4	10	53	123	14	32	6	201	324	367	691	166	267	28	12	312	98	-1	+4	+1	+5	+10	1.9
2025	32	MLB MLE	Texas Rangers	—	243	219	43	5	0	10	20	82	1	14	5	196	267	356	623	160	254	34	8	278	74	-7	+1	-4	+1	+5	-0.4
2025	32	MLB RAW	Texas Rangers	—	243	219	44	5	0	11	20	82	1	14	5	201	271	374	645	174	256	34	8	285	74	-7	+1	-4	+1	+5	-0.4
2026	33	AAA MLE	2 teams	—	372	338	59	12	1	5	25	119	5	21	3	175	242	260	502	86	248	32	7	225	39	—	—	—	—	—	—
2026	33	AAA RAW	2 teams	—	372	326	75	16	1	8	37	100	5	21	3	230	318	359	677	129	302	27	10	305	39	—	—	—	—	—	—
2016	23	A MLE	3 teams	—	580	511	106	25	3	11	44	140	20	44	13	207	295	333	628	125	255	24	8	276	73	—	—	—	—	—	—
2017	24	AA MLE	Mississippi Braves	—	482	442	77	14	0	6	30	120	7	10	8	174	241	247	488	72	220	25	6	220	35	—	—	—	—	—	—
2018	25	AAA MLE	3 teams	—	508	469	114	28	8	11	26	105	8	24	8	243	294	407	701	164	286	21	5	301	90	—	—	—	—	—	—
2019	26	MLB MLE	2 teams	—	317	276	56	14	2	9	27	97	11	13	10	203	298	366	664	163	277	31	9	301	90	—	—	—	—	—	—
2020	27	MLB MLE	Seattle Mariners	—	159	136	35	9	0	8	14	43	8	12	5	257	358	500	858	243	314	27	9	383	145	—	—	—	—	—	—
2021	28	MLB MLE	Seattle Mariners	—	377	330	60	11	2	12	40	111	4	21	5	182	277	336	613	155	229	29	11	281	76	—	—	—	—	—	—
2022	29	MLB MLE	Seattle Mariners	—	255	208	46	11	2	6	32	75	13	21	8	221	360	380	739	159	320	29	13	341	117	—	—	—	—	—	—
2023	30	MLB MLE	2 teams	—	195	169	35	10	1	7	19	67	5	8	4	207	303	402	705	195	280	34	10	313	98	—	—	—	—	—	—
2024	31	MLB MLE	Seattle Mariners	—	441	372	74	23	4	10	52	123	14	32	6	199	322	363	685	164	267	28	12	313	98	—	—	—	—	—	—
2025	32	MLB MLE	Texas Rangers	—	243	220	43	5	0	10	20	82	1	14	5	195	267	355	621	159	256	34	8	278	74	—	—	—	—	—	—
2026	33	AAA MLE	2 teams	—	372	339	59	12	1	5	25	119	5	21	3	174	242	260	501	86	238	32	7	225	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	31	MLB MLE	Seattle Mariners	—	441	372	74	23	4	10	52	123	14	32	6	199	322	363	685	164	267	28	12	313	98	—	—	—	—	—	—
2025	32	MLB MLE	Texas Rangers	—	243	220	43	5	0	10	20	82	1	14	5	195	267	355	621	159	256	34	8	278	74	—	—	—	—	—	—
2026	33	AAA MLE	2 teams	—	372	339	59	12	1	5	25	119	5	21	3	174	242	260	501	86	238	32	7	225	39	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	34	MLB MLE	PHI	10%	338	302	59	11	1	9	28	100	5	17	4	198	277	337	614	140	257	30	8	277	74	-11	+2	+1	+1	+7	0.0
▸ 2027 — real world (MLB)
2027	34	MLB CTX	PHI	10%	23	21	5	1	0	1	2	7	0	1	0	200	278	345	624	146	257	30	9	281	74	-1	+0	+0	+0	+0	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	35	MLB MLE	PHI	100%	172	154	29	5	1	4	14	52	2	5	1	187	265	315	579	127	247	30	8	263	64	-7	+1	-5	+1	+4	-0.8
2028	35	MLB CTX	PHI	100%	172	154	30	5	1	5	14	52	2	5	1	189	266	322	588	133	247	30	8	266	64	-7	+1	-5	+1	+4	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2109	1819	370	87	12	68	219	641	55	124	42	203	308	377	684	173	269	30	10	307	78	-15	+8	+2	+6	+46	4.7
/ 162G	—	A+C		—	650	561	115	27	4	21	67	198	17	38	13	205	308	380	688	175	272	30	10	307	78	-5	+2	+1	+2	+14	1.5
Career	—	MLE		—	4328	3826	774	175	25	105	362	1201	101	236	79	202	288	343	632	141	263	28	8	284	78	-22	+9	+2	+7	+51	4.7
/ 162G	—	MLE		—	650	575	116	26	4	16	54	180	15	35	12	202	287	344	632	143	261	28	8	284	78	-6	+3	+1	+2	+14	1.3

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.

2026 AAALehigh Valley IronPigs · 357 PAwOBA .308 → .229 (−78)K% 26.3% → 31.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.33%	÷1.000	×1.200	—	—	31.60%
BB% (unintentional) /PA	9.52%	÷1.000	×0.690	—	×0.940	6.18%
HBP% /PA	1.40%	—	×0.940	—	×0.940	1.24%
Singles /BIP	22.73%	÷1.000	×0.930	×0.950	×0.940	18.87%
Doubles /BIP	7.27%	÷1.000	×0.830	×0.950	×0.940	5.39%
Triples /BIP	0.45%	÷1.000	×0.970	×0.950	×0.940	0.39%
Home runs /BIP	3.64%	÷1.000	×0.700	—	×0.940	2.39%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 34 vs a level average of 27.2 → −6.0% on BB/HBP/hit rates (6.8 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .308 → .229; ISO .134 → .093; BABIP .310 → .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).

2023 AAATacoma Rainiers · 30 PAwOBA .275 → .223 (−52)K% 30.0% → 35.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	30.00%	÷1.024	×1.200	—	—	35.16%
BB% (unintentional) /PA	13.33%	÷1.013	×0.690	—	×0.962	8.74%
HBP% /PA	3.33%	—	×0.940	—	×0.962	3.01%
Singles /BIP	25.00%	÷0.989	×0.930	—	×0.962	22.62%
Doubles /BIP	6.25%	÷0.940	×0.830	—	×0.962	5.31%
Triples /BIP	0.00%	÷0.900	×0.970	—	×0.962	0.00%
Home runs /BIP	0.00%	÷1.157	×0.700	—	×0.962	0.00%

Factors used: league row International League. Park (home-season share, regressed): HR 131, 1B 98, 2B 88, 3B 80, K 105, BB 103 — 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 .275 → .223; ISO .040 → .034; BABIP .312 → .279. 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 AAATacoma Rainiers · 35 PAwOBA .226 → .201 (−25)K% 8.6% → 11.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.57%	÷0.990	×1.290	—	—	11.17%
BB% (unintentional) /PA	8.57%	÷1.039	×0.710	—	×1.003	5.87%
HBP% /PA	5.71%	—	×0.980	—	×1.003	5.62%
Singles /BIP	19.23%	÷0.985	×0.900	—	×1.003	17.62%
Doubles /BIP	0.00%	÷0.998	×0.810	—	×1.003	0.00%
Triples /BIP	0.00%	÷1.073	×0.810	—	×1.003	0.00%
Home runs /BIP	0.00%	÷1.049	×0.780	—	×1.003	0.00%

Factors used: league row PCL. Park (home-season share, regressed): HR 110, 1B 97, 2B 100, 3B 115, K 98, BB 108 — 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).

Result: wOBA .226 → .201; ISO .000 → .000; BABIP .192 → .176. 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 AAAColorado Springs Sky Sox · 363 PAwOBA .355 → .279 (−76)K% 14.3% → 20.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.33%	÷0.925	×1.290	—	—	19.97%
BB% (unintentional) /PA	6.89%	÷0.985	×0.710	—	×1.018	5.05%
HBP% /PA	1.65%	—	×0.980	—	×1.018	1.65%
Singles /BIP	18.32%	÷1.014	×0.900	×0.979	×1.018	16.19%
Doubles /BIP	8.79%	÷1.014	×0.810	×0.979	×1.018	7.00%
Triples /BIP	2.20%	÷1.150	×0.810	×0.979	×1.018	1.54%
Home runs /BIP	4.03%	÷1.124	×0.780	—	×1.018	2.85%

Factors used: league row PCL. Park (home-season share, regressed): HR 125, 1B 103, 2B 103, 3B 130, K 85, BB 97 — 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 ×0.979.

Result: wOBA .355 → .279; ISO .212 → .152; BABIP .303 → .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).

2018 AABiloxi Shuckers · 91 PAwOBA .449 → .390 (−59)K% 17.6% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.58%	÷0.933	×1.220	—	—	22.99%
BB% (unintentional) /PA	7.69%	÷0.964	×0.680	—	×0.988	5.36%
HBP% /PA	1.10%	—	×0.840	—	×0.988	0.91%
Singles /BIP	26.87%	÷0.967	×0.920	×1.014	×0.988	25.59%
Doubles /BIP	10.45%	÷0.918	×0.910	×1.014	×0.988	10.38%
Triples /BIP	4.48%	÷0.900	×0.880	×1.014	×0.988	4.39%
Home runs /BIP	4.48%	÷1.078	×0.800	—	×0.988	3.28%

Factors used: league row SL. Park (home-season share, regressed): HR 116, 1B 93, 2B 84, 3B 80, K 87, BB 93 — applied at half strength. Age: age 26 vs a level average of 24.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.014.

Result: wOBA .449 → .390; ISO .265 → .225; BABIP .438 → .417. 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 AAMississippi Braves · 482 PAwOBA .263 → .220 (−43)K% 19.9% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.92%	÷0.970	×1.220	—	—	25.04%
BB% (unintentional) /PA	9.13%	÷0.989	×0.680	—	×0.998	6.26%
HBP% /PA	1.45%	—	×0.840	—	×0.998	1.22%
Singles /BIP	20.00%	÷1.026	×0.920	×0.981	×0.998	17.57%
Doubles /BIP	4.62%	÷0.951	×0.910	×0.981	×0.998	4.33%
Triples /BIP	0.00%	÷1.146	×0.880	×0.981	×0.998	0.00%
Home runs /BIP	2.15%	÷0.925	×0.800	—	×0.998	1.86%

Factors used: league row SL. Park (home-season share, regressed): HR 85, 1B 105, 2B 90, 3B 129, K 94, BB 98 — 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 ×0.981.

Result: wOBA .263 → .220; ISO .086 → .077; BABIP .248 → .220. 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 AHickory Crawdads · 414 PAwOBA .343 → .264 (−79)K% 18.6% → 25.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.60%	÷0.990	×1.340	—	—	25.18%
BB% (unintentional) /PA	12.80%	÷0.972	×0.660	—	×0.980	8.52%
HBP% /PA	4.11%	—	×0.770	—	×0.980	3.10%
Singles /BIP	20.15%	÷1.041	×0.920	×0.950	×0.980	16.59%
Doubles /BIP	6.84%	÷0.907	×0.820	×0.950	×0.980	5.76%
Triples /BIP	1.14%	÷0.900	×0.940	×0.950	×0.980	1.11%
Home runs /BIP	3.42%	÷1.100	×0.820	—	×0.980	2.50%

Factors used: league row SAL. Park (home-season share, regressed): HR 120, 1B 108, 2B 81, 3B 80, K 98, BB 94 — applied at half strength. Age: age 24 vs a level average of 22.0 → −2.0% on BB/HBP/hit rates (2.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .343 → .264; ISO .150 → .119; BABIP .288 → .238. 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+Carolina Mudcats · 121 PAwOBA .423 → .319 (−103)K% 14.9% → 20.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.88%	÷1.030	×1.420	—	—	20.51%
BB% (unintentional) /PA	7.44%	÷0.970	×0.630	—	×0.988	4.77%
HBP% /PA	1.65%	—	×0.860	—	×0.988	1.40%
Singles /BIP	24.18%	÷1.018	×0.940	×0.950	×0.988	20.96%
Doubles /BIP	12.09%	÷1.004	×0.830	×0.950	×0.988	9.38%
Triples /BIP	0.00%	÷0.987	×0.800	×0.950	×0.988	0.00%
Home runs /BIP	5.49%	÷1.362	×0.900	—	×0.988	3.59%

Factors used: league row CAR. Park (home-season share, regressed): HR 172, 1B 104, 2B 101, 3B 97, K 106, BB 94 — 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 ×0.950.

Result: wOBA .423 → .319; ISO .239 → .164; BABIP .379 → .311. 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 — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sean Rodríguezlast yr '19 career totals — 11 seasons, 2,871 PA	4.3	2,871	79	42	226	302	380	+10	+16	8.1	8.5
/162	664	18	10	+2.3	+3.7	1.9	pk7: 9
#2Willie Greene'92-'00 * career totals — 7 seasons, 2,183 PA	3.3	2,183	86	17	225*	313*	415*	-4	+5	5.9	6.5
/162	664	26	5	-1.1	+1.5	1.8	pk7: 7
#3Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#4Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	3.2	2,117	68	124	205	305	379	+8	+8	5.8	6.0
/162	664	21	39	+2.4	+2.4	1.8	pk7: 6
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Pat Kelly'91-'99 * career totals — 8 seasons, 2,235 PA	3.4	2,235	36	61	242*	299*	375*	+6	+11	3.7	3.8
/162	664	11	18	+1.7	+3.2	1.1	pk7: 4

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
Dylan Moore (OGILVIE)	34	35	50	55	60	196/274/334	138	257	6	11	29%	8%	74	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mark Little 2006 · MLB	34	42	51→55	52→55	40	219/289/380	161	284	19	19	30%	6%	89	+0.5	226/308/346	120	311	11	15	29%	7%	88	+0.5	221/318/307	86	323	4	13	29%	6%	80	-0.1
✕Justin Leone 2009 · AAA	32	39	49→50	52→55	50	205/285/355	150	258	17	18	27%	10%	81	-0.1	191/261/317	126	270	13	13	32%	8%	63	-1.3	124/191/212	89	184	9	6	37%	7%	13	-2.0
✕Drew Maggi 2023 · AAA	34	38→48	40→45	54→60	41	185/260/274	89	272	7	23	33%	7%	53	-2.1	190/250/286	96	261	9	15	29%	6%	52	-2.2	155/205/234	78	202	9	9	28%	4%	20	-1.0
✕Kristopher Negrón 2019 · MLB	33	44→49	45	54→55	39	217/273/341	124	302	13	16	32%	6%	73	-0.6	227/287/352	125	328	14	14	33%	7%	81	-0.1	227/288/343	116	327	14	14	33%	7%	78	-0.2
✕Chase d'Arnaud 2019 · MLB	32	46→50	46→45	56→60	45	228/288/361	133	290	14	23	26%	7%	83	+0.1	198/263/321	123	283	14	16	33%	7%	65	-1.2	148/216/240	92	221	11	15	37%	6%	28	-2.4
✕Cody Ransom 2010 · MLB	34	39	51→55	49→50	45	208/273/373	166	259	19	11	28%	8%	81	-0.1	215/278/388	173	280	21	8	30%	7%	86	+0.3	206/286/402	196	277	25	6	34%	9%	92	+0.4
✕Mike Coolbaugh 2006 · AAA	34	41→39	52→55	53→50	41	218/266/379	160	262	21	10	26%	6%	79	-0.2	211/277/349	138	265	16	9	26%	7%	77	-0.3	171/258/278	106	213	13	4	26%	9%	52	-1.0
✕Manny Alexander 2006 · MLB	35	47	44→45	54→55	45	230/279/349	119	272	11	23	20%	6%	76	-0.4	211/252/299	88	251	7	14	18%	5%	54	-2.0	198/234/267	69	234	5	10	17%	4%	38	-2.2
✕Christian Zazueta 2019 · AAA	34	45→54	41→45	55→60	37	220/245/314	93	263	9	31	20%	2%	55	-1.9	229/266/340	111	259	11	16	16%	4%	70	-0.9	230/258/332	101	252	10	17	13%	3%	61	-0.7
✕Ryan LaMarre 2023 · MLB	34	48→52	45	51→60	44	231/309/356	124	315	12	21	29%	7%	91	+0.6	217/290/341	124	310	13	19	32%	7%	80	-0.2	141/221/232	91	216	10	33	38%	7%	26	-0.7
✕Hernán Pérez 2024 · MLB	33	45→55	45→50	54→55	42	226/273/344	118	287	13	21	26%	6%	73	-0.6	206/254/330	124	263	14	13	27%	6%	63	-1.3	165/208/277	113	202	13	9	26%	5%	32	-1.8
✕Tim Locastro 2024 · MLB	32	40→50	45	56→60	40	201/281/322	122	255	12	24	25%	5%	73	-0.6	222/301/340	118	272	11	29	22%	6%	84	+0.2	219/299/327	108	266	9	38	20%	5%	78	-0.1
●Reynaldo Rodriguez 2019 · AAA	33	43→45	44→55	50	45	213/275/324	111	279	12	15	28%	8%	70	-0.9	267/311/489	222	299	31	13	22%	5%	122	+2.9	288/324/555	267	305	41	11	20%	4%	144	+2.0
✕Matt Carson 2015 · MLB	34	43→50	45→60	51→50	39	215/264/334	119	286	14	14	30%	5%	68	-1.0	207/268/322	115	270	12	13	27%	6%	68	-1.0	161/232/243	82	201	8	11	24%	6%	35	-1.1
✕Pete Orr 2012 · MLB	33	44→45	42→45	54→55	41	217/262/325	108	262	9	21	21%	4%	65	-1.2	224/258/318	94	282	6	18	22%	4%	61	-1.5	228/255/314	86	291	5	16	23%	3%	55	-1.2
✕Dewayne Wise 2013 · MLB	35	47→40	49→60	59→55	40	240/278/396	156	290	17	27	24%	4%	87	+0.4	228/274/363	135	288	14	18	25%	5%	78	-0.3	188/221/274	85	256	5	9	28%	3%	36	-0.7
✕Jed Hansen 2006 · AAA	33	39→37	44→45	51→50	39	197/259/317	120	272	11	14	31%	6%	63	-1.4	204/261/317	113	259	11	13	25%	6%	63	-1.4	187/243/285	97	229	11	12	23%	5%	47	-1.7
✕Brandon Barnes 2019 · MLB	33	44→53	43→55	50	38	214/265/330	115	302	11	16	32%	5%	67	-1.1	213/263/378	165	288	21	13	33%	5%	78	-0.3	191/237/377	187	240	27	11	34%	5%	66	-1.0
✕Jonathan Davis 2024 · MLB	32	46→52	44→45	55	48	224/301/347	123	296	11	21	27%	9%	85	+0.2	217/291/331	114	310	10	14	31%	8%	78	-0.3	188/273/268	80	289	6	14	34%	8%	53	-1.0
✕Juan Carlos Perez 2019 · AAA	32	42→52	43→45	55	39	211/250/324	113	273	10	20	27%	4%	59	-1.6	240/297/353	113	293	10	13	21%	7%	84	+0.2	248/305/353	105	301	8	13	19%	6%	84	+0.2

Dylan Moore

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps