Eli Willits

SS Wilmington Blue Rocks

Age 19 S/R 6'1" / 180 lbs A+ Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP55OGV rank#9ETA2028MLB%11%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	AWSH	58	.300/.397/.360	0	2	74	—	.250/.328/.308
2026	18	AA/A+/AWSH	538	.265/.408/.463	14	62	94	—	.217/.320/.379
2027PROJ11% MLB	19	MLBWSH	22	.238/.330/.385	1	1	104	0.1
2028PROJ59% MLB	20	MLBWSH	303	.244/.337/.400	8	10	111	1.6
2029PROJ76% MLB	21	MLBWSH	407	.248/.342/.412	12	13	115	2.4

Next 3 projected WAR 4.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$9M2032Arb-2$15M2033Arb-3$23M

Skills · percentileMiLB Statcast 2026 A+

Speed97

Chase%92

BB%91

K%77

Whiff%72

wRC+71

Career WAR39 WAR median (P10 0.0 / P90 54, comp-based) · star 72% · didn't stick 16%

CompsEvan Carter (age 20) · Jurickson Profar (age 19) · Jackson Chourio (age 20)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†104

AVG/OBP/SLG.238 / .330 / .385

PA22

HR1

K%23

BB%9

BABIP290

ISO200

MLB%11%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$86M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.6	$12M	+$11M
2029	Pre-Arb	$0.8M	+2.4	$16M	+$16M
2030	Pre-Arb	$0.8M	+2.9	$20M	+$20M
2031	Arb-1	$9M	+3.2	$22M	+$17M
2032	Arb-2	$15M	+3.3	$22M	+$13M
2033	Arb-3	$23M	+3.4	$21M	+$9M
Totals		$49M		$114M	+$85M

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)
2025	17	A	Fredericksburg Nationals	—	58	50	15	1	1	0	7	12	1	2	0	300	397	360	757	60	395	21	12	350	74	—	—	—	—	—	—
2026	18	AA	Harrisburg Senators	—	17	14	5	1	0	1	3	4	0	2	0	357	471	643	1.113	286	444	24	18	481	162	—	—	—	—	—	—
2026	18	A+	Wilmington Blue Rocks	—	289	226	52	12	5	7	54	55	7	31	8	230	394	420	814	190	273	19	19	368	80	—	—	—	—	—	—
2026	18	A	Fredericksburg Nationals	—	232	190	57	14	3	6	38	54	2	29	7	300	422	500	922	200	386	23	16	405	106	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	A MLE	Fredericksburg Nationals	—	58	52	13	1	1	0	5	17	1	2	0	250	328	308	635	58	361	29	9	278	74	—	—	—	—	—	—
2026	18	AA MLE	Harrisburg Senators	—	17	15	5	1	0	1	2	5	0	2	0	333	412	600	1.012	267	431	29	12	408	162	—	—	—	—	—	—
2026	18	A+ MLE	Wilmington Blue Rocks	—	289	248	47	10	4	7	32	72	7	31	8	190	300	347	646	157	231	25	11	287	80	—	—	—	—	—	—
2026	18	A MLE	Fredericksburg Nationals	—	232	201	49	11	3	5	27	74	2	29	7	244	339	403	742	159	351	32	12	325	106	—	—	—	—	—	—
2025	17	A MLE	Fredericksburg Nationals	—	58	52	13	1	1	0	5	17	1	2	0	250	328	308	635	58	371	29	9	278	74	—	—	—	—	—	—
2025	17	A RAW	Fredericksburg Nationals	—	58	50	15	1	1	0	7	12	1	2	0	300	397	360	757	60	395	21	12	350	74	—	—	—	—	—	—
2026	18	A+ MLE	3 teams	—	538	463	100	22	7	12	62	150	9	62	15	216	320	371	692	156	289	28	12	307	94	—	—	—	—	—	—
2026	18	A+ RAW	3 teams	—	538	430	114	27	8	14	95	113	9	62	15	265	408	463	871	198	327	21	18	387	94	—	—	—	—	—	—
2025	17	A MLE	Fredericksburg Nationals	—	58	52	13	1	1	0	5	17	1	2	0	250	328	308	635	58	361	29	9	278	74	—	—	—	—	—	—
2026	18	A+ MLE	3 teams	—	538	462	100	22	7	12	62	150	9	62	15	216	320	372	693	156	289	28	12	307	94	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	A MLE	Fredericksburg Nationals	—	58	52	13	1	1	0	5	17	1	2	0	250	328	308	635	58	361	29	9	278	74	—	—	—	—	—	—
2026	18	A+ MLE	3 teams	—	538	462	100	22	7	12	62	150	9	62	15	216	320	372	693	156	289	28	12	307	94	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	WSH	11%	586	510	121	24	5	14	63	131	8	20	5	238	331	388	719	149	291	22	11	323	104	+3	+2	+2	+6	+13	1.1
▸ 2027 — real world (MLB)
2027	19	MLB CTX	WSH	11%	22	20	5	1	0	1	2	5	0	1	0	238	330	385	715	147	290	23	9	321	104	+0	+0	+0	+0	+0	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	WSH	59%	512	444	109	21	4	14	56	111	7	17	4	245	338	404	742	159	293	22	11	332	111	+6	+2	+2	+5	+11	2.7
2029	21	MLB MLE	WSH	76%	537	465	116	23	4	16	59	113	8	17	4	249	342	416	758	167	294	21	11	338	115	+9	+2	+2	+6	+12	3.1
2030	22	MLB MLE	WSH	82%	560	486	122	24	4	17	61	116	8	17	4	252	345	424	769	173	294	21	11	342	118	+12	+2	+3	+6	+12	3.5
2031	23	MLB MLE	WSH	83%	578	502	127	25	4	18	63	118	8	16	4	254	346	430	776	176	295	20	11	345	119	+13	+2	+4	+6	+13	3.8
2032	24	MLB MLE	WSH	83%	590	513	130	25	4	19	64	120	8	16	4	255	347	433	780	178	295	20	11	346	120	+14	+2	+4	+6	+13	4.0
2033	25	MLB MLE	WSH	82%	599	521	134	26	5	20	65	122	8	15	4	255	348	434	782	179	295	20	11	347	121	+15	+1	+4	+6	+13	4.1
2034	26	MLB MLE	WSH	82%	604	525	135	26	5	20	66	123	8	15	4	255	348	434	782	179	295	20	11	347	121	+15	+1	+4	+6	+13	4.1
2035	27	MLB MLE	WSH	80%	599	521	132	26	4	19	65	123	8	15	4	254	347	432	778	177	295	21	11	346	120	+14	+1	+4	+6	+13	4.0
2036	28	MLB MLE	WSH	80%	589	512	129	25	4	19	64	122	8	13	3	252	345	427	772	175	294	21	11	343	118	+13	+1	+4	+6	+13	3.8
2037	29	MLB MLE	WSH	78%	568	494	124	24	4	18	62	119	7	12	3	250	342	421	763	171	293	21	11	340	116	+11	+1	+3	+6	+12	3.4
2038	30	MLB MLE	WSH	76%	553	481	120	23	4	17	60	118	7	10	3	247	339	413	752	166	292	21	11	335	113	+9	+1	+2	+6	+12	3.0
2039	31	MLB MLE	WSH	76%	534	465	114	22	4	15	57	116	7	8	4	243	334	404	738	160	289	22	11	330	109	+6	+0	+1	+6	+12	2.5
2040	32	MLB MLE	WSH	75%	512	447	106	20	3	14	54	113	6	7	5	238	328	391	719	153	286	22	11	322	104	+3	-1	+0	+5	+11	1.9
2041	33	MLB MLE	WSH	75%	476	418	97	18	3	12	50	108	5	6	7	232	321	375	697	144	281	23	11	313	98	-1	-2	-1	+5	+10	1.2
2042	34	MLB MLE	WSH	71%	419	369	83	15	3	10	43	98	4	5	13	223	312	357	669	133	275	23	10	302	90	-5	-4	-2	+4	+9	0.3
2028	20	MLB CTX	WSH	59%	303	263	64	13	2	8	33	66	4	10	2	244	337	400	738	157	292	22	11	330	111	+4	+1	+1	+3	+7	1.6
2029	21	MLB CTX	WSH	76%	407	354	88	17	3	12	44	86	6	13	3	248	342	412	754	165	293	21	11	337	115	+7	+1	+2	+4	+9	2.4
2030	22	MLB CTX	WSH	82%	457	397	100	20	3	14	50	94	7	14	3	251	344	421	765	170	293	21	11	341	118	+10	+2	+2	+5	+10	2.9
2031	23	MLB CTX	WSH	83%	483	420	106	21	3	15	53	99	7	14	3	253	346	427	772	174	294	20	11	343	119	+11	+2	+3	+5	+10	3.2
2032	24	MLB CTX	WSH	83%	487	424	108	21	3	16	53	99	7	13	3	254	346	430	776	176	294	20	11	345	120	+12	+1	+3	+5	+11	3.3
2033	25	MLB CTX	WSH	82%	493	429	109	21	3	16	54	100	7	13	3	255	347	431	778	177	294	20	11	346	121	+12	+1	+4	+5	+11	3.4
2034	26	MLB CTX	WSH	82%	496	432	110	22	3	16	54	101	7	12	3	254	347	431	778	177	294	20	11	346	121	+12	+1	+4	+5	+11	3.4
2035	27	MLB CTX	WSH	80%	482	419	107	21	3	16	53	99	7	12	3	253	346	429	775	175	294	21	11	344	120	+11	+1	+3	+5	+10	3.2
2036	28	MLB CTX	WSH	80%	469	409	103	20	3	15	51	97	6	10	3	252	344	424	768	172	293	21	11	342	118	+10	+1	+3	+5	+10	3.0
2037	29	MLB CTX	WSH	78%	440	383	97	19	3	14	48	92	6	9	2	250	342	418	760	169	292	21	11	339	116	+8	+1	+2	+5	+10	2.6
2038	30	MLB CTX	WSH	76%	422	368	91	18	2	13	46	90	5	8	2	247	338	411	749	164	291	21	11	334	113	+7	+1	+1	+5	+9	2.3
2039	31	MLB CTX	WSH	76%	404	353	86	17	2	12	43	88	5	6	3	243	334	401	735	158	288	22	11	329	109	+4	+0	+1	+4	+9	1.9
2040	32	MLB CTX	WSH	75%	386	337	79	15	2	10	41	85	5	5	4	238	328	389	716	151	285	22	11	321	104	+2	-1	+0	+4	+8	1.4
2041	33	MLB CTX	WSH	75%	358	314	73	14	2	9	37	81	4	4	6	231	321	373	694	142	280	23	10	312	98	-1	-2	-1	+4	+8	0.9
2042	34	MLB CTX	WSH	71%	296	261	57	10	1	7	30	69	3	3	9	223	311	354	666	132	274	23	10	301	90	-3	-3	-1	+3	+6	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6383	5563	1378	269	38	193	690	1346	86	146	52	248	340	414	754	166	292	21	11	336	112	+107	+8	+27	+68	+138	35.7
/ 162G	—	A+C		—	650	566	140	27	4	20	70	137	9	15	5	247	340	415	755	168	291	21	11	336	112	+11	+1	+3	+7	+14	3.6
Career	—	MLE		—	9036	7860	1935	375	69	265	979	1954	120	260	87	246	339	413	751	166	294	22	11	334	112	+136	+10	+35	+90	+183	46.3
/ 162G	—	MLE		—	650	565	139	27	5	19	70	141	9	19	6	246	338	412	750	166	294	22	11	334	112	+10	+1	+3	+7	+14	3.6

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.

2026 A+Wilmington Blue Rocks · 289 PAwOBA .357 → .287 (−70)K% 19.0% → 24.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.03%	÷1.000	×1.310	—	—	24.93%
BB% (unintentional) /PA	17.65%	÷1.000	×0.600	—	×1.050	11.12%
HBP% /PA	2.42%	—	×0.770	—	×1.050	1.96%
Singles /BIP	16.37%	÷1.000	×0.870	×0.957	×1.050	14.31%
Doubles /BIP	7.02%	÷1.000	×0.780	×0.957	×1.050	5.50%
Triples /BIP	2.92%	÷1.000	×0.850	×0.957	×1.050	2.50%
Home runs /BIP	4.09%	÷1.000	×0.880	—	×1.050	3.78%

Factors used: league row South Atlantic League. 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 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.957.

Result: wOBA .357 → .287; ISO .190 → .173; BABIP .273 → .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).

2026 AFredericksburg Nationals · 232 PAwOBA .399 → .325 (−74)K% 23.3% → 31.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.28%	÷1.000	×1.360	—	—	31.66%
BB% (unintentional) /PA	16.38%	÷1.000	×0.690	—	×1.045	11.81%
HBP% /PA	0.86%	—	×0.780	—	×1.045	0.70%
Singles /BIP	25.00%	÷1.000	×0.920	×0.979	×1.045	23.53%
Doubles /BIP	10.29%	÷1.000	×0.830	×0.979	×1.045	8.74%
Triples /BIP	2.21%	÷1.000	×0.910	×0.979	×1.045	2.05%
Home runs /BIP	4.41%	÷1.000	×0.800	—	×1.045	3.69%

Factors used: level-wide A 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 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.979.

Result: wOBA .399 → .325; ISO .200 → .163; BABIP .386 → .351. 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).

2026 AAHarrisburg Senators · 17 PAwOBA .468 → .408 (−61)K% 23.5% → 28.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.53%	÷1.000	×1.220	—	—	28.71%
BB% (unintentional) /PA	17.65%	÷1.000	×0.700	—	×1.050	12.97%
HBP% /PA	0.00%	—	×0.850	—	×1.050	0.00%
Singles /BIP	30.00%	÷1.000	×0.970	—	×1.050	30.55%
Doubles /BIP	10.00%	÷1.000	×0.860	—	×1.050	9.03%
Triples /BIP	0.00%	÷1.000	×0.950	—	×1.050	0.00%
Home runs /BIP	10.00%	÷1.000	×0.780	—	×1.050	8.19%

Factors used: league row EL. 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 24.8 → +5.0% on BB/HBP/hit rates (5.8 yr younger than average).

Result: wOBA .468 → .408; ISO .286 → .238; BABIP .444 → .431. 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).

2025 AFredericksburg Nationals · 58 PAwOBA .341 → .278 (−63)K% 20.7% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.69%	÷0.968	×1.360	—	—	29.06%
BB% (unintentional) /PA	12.07%	÷0.987	×0.690	—	×1.050	8.86%
HBP% /PA	1.72%	—	×0.780	—	×1.050	1.41%
Singles /BIP	34.21%	÷1.046	×0.920	—	×1.050	31.61%
Doubles /BIP	2.63%	÷1.050	×0.830	—	×1.050	2.18%
Triples /BIP	2.63%	÷1.106	×0.910	—	×1.050	2.27%
Home runs /BIP	0.00%	÷1.040	×0.800	—	×1.050	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 108, 1B 109, 2B 110, 3B 121, K 94, BB 97 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .341 → .278; ISO .060 → .047; BABIP .395 → .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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jhonny Peraltalast yr '17 career totals — 14 seasons, 7,291 PA	11.0	7,291	202	17	267	329	423	+66	+63	42.9	37.5
/162	664	18	2	+6.1	+5.8	3.9	pk7: 32
#2Asdrúbal Cabreralast yr '21 career totals — 15 seasons, 7,401 PA	11.1	7,401	195	91	266	329	423	+58	+11	38.2	32.2
/162	664	17	8	+5.2	+1.0	3.4	pk7: 26
#3Roy Smalley'75-'87 * career totals — 13 seasons, 6,594 PA	9.9	6,594	163	27	253*	344*	418*	+20	+50	33.1	30.5
/162	664	16	3	+2.0	+5.1	3.3	pk7: 28
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	9.6	6,406	192	147	249	337	418	+67	+43	36.2	29.3
/162	664	20	15	+6.9	+4.5	3.8	pk7: 22
#4Brian Dozierlast yr '19 career totals — 8 seasons, 4,884 PA	7.4	4,884	192	105	245	326	442	+20	+24	27.7	27.6
/162	664	26	14	+2.7	+3.2	3.8	pk7: 28
#5John Valentin'92-'02 * career totals — 10 seasons, 4,511 PA	6.8	4,511	124	47	267*	344*	445*	+31	+38	27.5	27.1
/162	664	18	7	+4.6	+5.6	4.0	pk7: 27
#6Robby Thompson'86-'96 * career totals — 11 seasons, 5,235 PA	7.9	5,235	119	103	254*	327*	426*	+19	+20	25.4	24.6
/162	664	15	13	+2.4	+2.5	3.2	pk7: 24

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
Eli Willits (OGILVIE)	19	—	—	—	—	236/328/384	148	291	5	7	22%	11%	104	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Evan Carter 2023 · AA	20	48→55	46→50	55	52	233/315/374	141	290	12	21	23%	10%	96	+1.0	239/326/389	150	309	14	21	25%	10%	103	+1.6	237/330/391	154	306	15	24	25%	10%	104	+0.9
●Jurickson Profar 2012 · A	19	51→55	46→55	53→50	51	245/315/399	154	285	10	14	18%	8%	101	+1.4	242/307/374	132	286	11	11	19%	8%	93	+0.8	259/353/423	164	286	18	7	16%	11%	123	+2.7
●Jackson Chourio 2024 · AAA	20	48→57	50→60	56→55	41	243/288/398	155	310	17	24	27%	6%	91	+0.7	267/311/444	177	322	20	22	23%	6%	111	+2.1	275/322/461	186	325	22	23	22%	6%	120	+2.7
✕Adael Amador 2024 · AA	21	52→56	48→50	49→55	54	257/333/399	142	291	15	16	17%	9%	109	+2.0	235/310/364	129	275	14	21	19%	9%	92	+0.7	231/310/357	126	266	13	22	18%	9%	88	+0.4
●Luke Keaschall 2024 · A	21	49→58	44→45	56→55	46	237/309/366	129	311	10	16	26%	8%	92	+0.7	257/344/386	129	308	12	23	20%	9%	110	+2.1	267/360/392	125	312	12	25	17%	9%	117	+2.0
✕Alen Hanson 2013 · A	20	49→53	46→50	56→60	45	241/296/389	148	299	11	20	23%	7%	92	+0.7	244/285/377	133	308	10	22	23%	5%	84	+0.2	253/288/390	138	302	12	30	20%	4%	87	+0.3
●Ozzie Albies 2018 · MLB	21	55→62	43→60	59→55	45	266/313/393	127	322	9	21	20%	6%	99	+1.2	271/318/452	181	308	19	15	18%	6%	115	+2.4	273/324/485	212	301	24	15	18%	6%	126	+2.7
●Wander Franco 2021 · A	20	55→60	45→55	47→55	53	268/323/398	130	287	11	10	12%	8%	104	+1.6	274/329/434	160	298	14	14	13%	7%	114	+2.4	280/337/455	175	300	16	20	12%	7%	122	+2.2
✕Ricky Cabrera 2024 · A	19	48→44	40→45	57→60	43	224/310/324	99	311	7	18	28%	7%	84	+0.1	216/282/315	99	309	8	12	31%	6%	71	-0.8	213/277/319	106	299	10	14	30%	5%	67	-0.8
✕Edwin Arroyo 2023 · A	19	48→58	47→45	55→50	40	230/290/370	140	327	13	14	32%	6%	86	+0.3	233/286/359	126	312	10	16	27%	6%	82	-0.0	244/294/361	117	313	9	15	24%	5%	83	+0.1
●Kevin McGonigle 2024 · A	19	51→57	39→50	47→50	54	240/319/330	90	294	6	15	20%	10%	87	+0.4	261/339/405	144	289	14	15	14%	10%	112	+2.2	271/359/435	164	294	17	13	14%	12%	126	+2.5
✕Jackson Holliday 2024 · AAA	20	58→62	45→50	53→50	55	271/356/407	136	361	10	15	26%	12%	118	+2.6	239/321/373	134	312	13	14	25%	10%	98	+1.2	227/308/354	128	289	14	14	25%	10%	89	+0.5
✕Jett Williams 2024 · AA	20	44→48	45→50	60→55	54	209/324/338	129	296	11	25	30%	12%	93	+0.8	216/310/345	129	299	10	23	28%	11%	88	+0.4	214/300/348	134	288	11	26	27%	10%	82	+0.0
●B.J. Upton 2005 · MLB	20	51→60	48→60	52→60	48	249/316/400	151	316	15	13	25%	8%	103	+1.5	268/339/415	147	343	15	32	24%	9%	114	+2.3	264/354/415	151	338	15	35	24%	12%	120	+2.9
✕Addison Russell 2013 · A	19	55→52	47→55	59→50	43	262/316/407	145	351	12	16	28%	7%	103	+1.6	243/307/405	162	320	16	12	28%	7%	101	+1.4	236/301/401	165	290	19	5	25%	7%	99	+1.1
●Vaughn Grissom 2022 · A	21	54→64	42→50	54→55	49	259/332/371	113	319	9	12	21%	8%	101	+1.4	276/340/405	129	329	12	17	19%	7%	112	+2.2	277/343/400	124	329	12	18	19%	7%	109	+1.7
✕Colt Emerson 2024 · A	19	56→51	43→45	54→50	49	261/343/383	122	348	9	14	26%	9%	109	+2.0	239/321/362	123	313	11	13	25%	9%	96	+1.0	231/311/363	132	302	13	14	26%	8%	91	+0.5
●Jaff Decker 2009 · A	19	54→52	44→55	53→55	59	251/357/373	122	334	10	10	25%	14%	112	+2.2	237/331/406	169	317	19	8	29%	11%	110	+2.1	221/316/399	177	291	21	8	30%	11%	102	+1.2
✕Harry Ford 2023 · A	20	48→53	46→45	53→55	51	224/330/360	136	328	13	14	32%	11%	99	+1.3	225/334/351	126	300	12	18	26%	12%	99	+1.3	226/338/346	120	294	12	19	24%	12%	96	+0.9
✕Fernando Flores 2012 · AAA	20	51	42→40	57→40	46	247/304/354	107	301	9	20	21%	6%	86	+0.3	241/273/328	87	294	6	8	19%	4%	68	-1.0	261/290/349	89	310	6	2	18%	3%	78	-0.2

Eli Willits

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps