Slate Alford

3B Rancho Cucamonga Quakes

Age 24 R/R 6'3" / 212 lbs A K +5%HR +4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#2321ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	22	ASEA	125	.289/.439/.433	2	0	91	—	.240/.358/.365
2026	23	A+/A/ROKLAA	267	.270/.389/.428	7	3	74	—	.217/.302/.341
2027PROJMLE	24	MLBLAA	317	.206/.290/.315	5	5	73	0.0
2028PROJ30% MLB	25	MLBLAA	49	.207/.291/.320	1	1	75	-0.0
2029PROJ44% MLB	26	MLBLAA	97	.209/.292/.325	2	1	77	-0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$1.0M+3

Skills · percentileMiLB Statcast 2026 A+

wRC+94

wOBA91

Chase%88

BB%87

ISO49

Z-Con%28

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsNick Quintana (age 25) · Quincy McAfee (age 25) · Michael Paez (age 24)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 133 proj PA

wRC+†73

AVG/OBP/SLG.204 / .288 / .312

PA133

HR2

K%27

BB%10

ISO109

MLB%0%

Value2027 · WAR

trajectory · projected WAR by year

Tools · ContractCON 33 / POW 38

Toolsscout grade

CONTACT33

scouting grade only

POWER38

scouting grade only

EYE56

scouting grade only

SPEED42

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.3M	+$0.0M

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	22	A	Inland Empire 66ers	—	125	97	28	6	1	2	21	31	5	0	0	289	439	433	872	144	400	25	17	392	91	—	—	—	—	—	—
2026	23	A+	Tri-City Dust Devils	—	41	34	11	2	0	1	7	12	0	0	0	324	439	471	910	147	476	29	17	409	91	—	—	—	—	—	—
2026	23	A	Rancho Cucamonga Quakes	—	177	152	35	6	1	4	23	38	1	0	1	230	335	362	697	132	279	21	13	317	54	—	—	—	—	—	—
2026	23	ROK	ACL Angels	—	49	36	14	4	0	2	12	10	0	3	0	389	542	667	1.208	278	480	20	24	508	133	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Inland Empire 66ers	—	125	104	25	5	1	2	14	42	5	0	0	240	358	365	723	125	344	34	11	303	91	—	—	—	—	—	—
2026	23	A+ MLE	Tri-City Dust Devils	—	41	36	9	1	0	1	5	16	0	0	0	250	341	361	703	111	417	39	12	303	91	—	—	—	—	—	—
2026	23	A MLE	Rancho Cucamonga Quakes	—	177	159	30	5	1	3	16	52	1	0	1	189	267	289	556	101	254	29	9	248	54	—	—	—	—	—	—
2026	23	ROK MLE	ACL Angels	—	49	41	12	3	0	2	7	14	0	3	0	293	396	512	908	220	354	29	14	365	133	—	—	—	—	—	—
2025	22	A MLE	Inland Empire 66ers	—	125	104	25	5	1	2	14	42	5	0	0	240	358	365	723	125	377	34	11	303	91	—	—	—	—	—	—
2025	22	A RAW	Inland Empire 66ers	—	125	97	28	6	1	2	21	31	5	0	0	289	439	433	872	144	400	25	17	392	91	—	—	—	—	—	—
2026	23	A MLE	3 teams	—	267	236	50	9	1	5	28	82	1	3	1	212	298	322	620	110	298	31	10	278	74	—	—	—	—	—	—
2026	23	A RAW	3 teams	—	267	222	60	12	1	7	42	60	1	3	1	270	389	428	817	158	338	22	16	366	74	—	—	—	—	—	—
2025	22	A MLE	Inland Empire 66ers	—	125	105	25	5	1	2	14	42	5	0	0	238	358	362	720	124	344	34	11	303	91	—	—	—	—	—	—
2026	23	A MLE	3 teams	—	267	236	50	9	1	5	28	82	1	3	1	212	298	322	620	110	297	31	10	278	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	22	A MLE	Inland Empire 66ers	—	125	105	25	5	1	2	14	42	5	0	0	238	358	362	720	124	344	34	11	303	91	—	—	—	—	—	—
2026	23	A MLE	3 teams	—	267	236	50	9	1	5	28	82	1	3	1	212	298	322	620	110	297	31	10	278	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	24	MLB MLE	LAA	0%	317	281	58	11	2	5	30	87	3	5	1	206	290	315	605	109	274	27	9	276	73	-10	+1	+0	+1	+7	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	LAA	30%	162	144	30	6	1	3	15	44	2	2	1	208	292	322	614	113	275	27	9	279	75	-5	+0	+0	+1	+4	-0.1
2029	26	MLB MLE	LAA	44%	219	194	41	8	1	4	21	59	2	3	1	210	293	326	620	116	276	27	10	282	77	-6	+0	+0	+1	+5	-0.0
2030	27	MLB MLE	LAA	49%	254	226	47	9	1	5	24	68	2	3	1	211	294	328	621	117	276	27	9	282	77	-7	+0	+0	+1	+6	-0.0
2031	28	MLB MLE	LAA	51%	279	248	52	10	1	5	26	75	3	3	1	211	293	327	620	116	276	27	9	282	77	-8	+0	-1	+1	+6	-0.1
2032	29	MLB MLE	LAA	51%	286	254	53	10	1	5	27	77	3	3	1	210	291	324	616	115	275	27	9	280	76	-8	+0	-1	+1	+6	-0.2
2028	25	MLB CTX	LAA	30%	49	44	9	2	0	1	5	13	0	1	0	207	291	320	611	113	273	27	10	278	75	-1	+0	+0	+0	+1	-0.0
2029	26	MLB CTX	LAA	44%	97	87	18	3	1	2	9	26	1	1	0	209	292	325	617	116	273	27	9	281	77	-3	+0	+0	+0	+2	-0.0
2030	27	MLB CTX	LAA	49%	124	110	23	4	1	2	12	33	1	2	1	210	293	326	619	116	274	27	10	281	77	-3	+0	+0	+0	+3	-0.0
2031	28	MLB CTX	LAA	51%	144	128	27	5	1	3	14	39	1	2	1	209	292	325	617	116	273	27	10	280	77	-4	+0	-0	+1	+3	-0.1
2032	29	MLB CTX	LAA	51%	147	131	28	5	1	3	14	40	1	2	1	209	290	323	613	114	272	27	10	279	76	-4	+0	-1	+1	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	561	500	105	19	4	11	54	151	4	8	3	210	292	330	622	120	276	27	10	280	77	-16	+0	-1	+2	+12	-0.2
/ 162G	—	A+C		—	650	579	122	22	5	13	63	175	5	9	3	211	294	333	627	123	277	27	10	280	77	-18	+0	-1	+2	+14	-0.3
Career	—	MLE		—	1725	1524	323	62	8	31	168	484	19	19	7	212	298	324	622	112	287	28	10	282	77	-38	+1	-2	+5	+29	-0.6
/ 162G	—	MLE		—	650	574	122	23	3	12	63	182	7	7	3	213	298	326	623	113	287	28	10	282	77	-19	+0	-1	+2	+14	-0.3

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 ARancho Cucamonga Quakes · 177 PAwOBA .311 → .248 (−64)K% 21.5% → 29.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.47%	÷1.000	×1.360	—	—	29.20%
BB% (unintentional) /PA	12.99%	÷1.000	×0.690	—	×0.980	8.79%
HBP% /PA	0.56%	—	×0.780	—	×0.980	0.43%
Singles /BIP	21.05%	÷1.000	×0.920	×1.037	×0.980	19.67%
Doubles /BIP	5.26%	÷1.000	×0.830	×1.037	×0.980	4.44%
Triples /BIP	0.88%	÷1.000	×0.910	×1.037	×0.980	0.81%
Home runs /BIP	3.51%	÷1.000	×0.800	—	×0.980	2.75%

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 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 ×1.037.

Result: wOBA .311 → .248; ISO .132 → .103; BABIP .279 → .254. 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 ROKACL Angels · 49 PAwOBA .506 → .365 (−142)K% 20.4% → 29.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.41%	÷1.000	×1.440	—	—	29.39%
BB% (unintentional) /PA	24.49%	÷1.000	×0.620	—	×0.955	14.50%
HBP% /PA	0.00%	—	×0.720	—	×0.955	0.00%
Singles /BIP	30.77%	÷1.000	×0.820	—	×0.955	24.10%
Doubles /BIP	15.38%	÷1.000	×0.720	—	×0.955	10.58%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.955	0.00%
Home runs /BIP	7.69%	÷1.000	×0.780	—	×0.955	5.73%

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 24 vs a level average of 19.5 → −4.5% on BB/HBP/hit rates (4.5 yr older than average).

Result: wOBA .506 → .365; ISO .278 → .212; BABIP .480 → .354. 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 A+Tri-City Dust Devils · 41 PAwOBA .399 → .303 (−96)K% 29.3% → 39.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.27%	÷1.000	×1.350	—	—	39.51%
BB% (unintentional) /PA	17.07%	÷1.000	×0.710	—	×0.988	11.98%
HBP% /PA	0.00%	—	×0.810	—	×0.988	0.00%
Singles /BIP	36.36%	÷1.000	×0.910	—	×0.988	32.69%
Doubles /BIP	9.09%	÷1.000	×0.830	—	×0.988	7.45%
Triples /BIP	0.00%	÷1.000	×0.820	—	×0.988	0.00%
Home runs /BIP	4.55%	÷1.000	×0.830	—	×0.988	3.73%

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 24 vs a level average of 22.8 → −1.2% on BB/HBP/hit rates (1.2 yr older than average).

Result: wOBA .399 → .303; ISO .147 → .109; BABIP .476 → .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).

2025 AInland Empire 66ers · 125 PAwOBA .386 → .303 (−83)K% 24.8% → 33.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.80%	÷1.008	×1.360	—	—	33.45%
BB% (unintentional) /PA	16.80%	÷1.011	×0.690	—	×0.990	11.36%
HBP% /PA	4.00%	—	×0.780	—	×0.990	3.09%
Singles /BIP	28.79%	÷1.066	×0.920	×1.037	×0.990	25.48%
Doubles /BIP	9.09%	÷1.065	×0.830	×1.037	×0.990	7.27%
Triples /BIP	1.52%	÷0.997	×0.910	×1.037	×0.990	1.42%
Home runs /BIP	3.03%	÷1.036	×0.800	—	×0.990	2.32%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 113, 2B 113, 3B 99, K 102, BB 102 — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .386 → .303; ISO .144 → .115; BABIP .400 → .344. 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
#1Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#2Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#3Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 3 projected seasons	1.0	694	13	9	210	290	325	+2	+2	0.2	0.2
/162	664	13	9	+2.4	+1.4	0.2	pk7: 0
#4Doug Strange'89-'98 * career totals — 8 seasons, 2,067 PA	3.1	2,067	31	14	225*	286*	340*	+5	-0	-1.5	0.0
/162	664	10	4	+1.6	-0.1	-0.5	pk7: 1
#5Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#6David Howard'91-'99 * career totals — 8 seasons, 1,795 PA	2.7	1,795	11	23	220*	280*	301*	+10	+23	-1.6	-0.8
/162	664	4	9	+3.7	+8.5	-0.6	pk7: -0

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
Slate Alford (OGILVIE)	24	33	38	42	56	204/288/312	108	274	2	2	27%	10%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Quintana 2023 · AA	25	38→40	43→45	42→45	48	191/274/298	107	258	11	5	29%	9%	64	-1.3	195/276/301	106	276	9	7	31%	8%	65	-1.2	110/220/193	83	161	7	0	33%	9%	22	-1.0
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/278/294	103	260	10	6	29%	8%	65	-1.2	197/274/326	129	246	14	10	25%	7%	71	-0.8	183/262/322	139	217	16	12	24%	7%	63	-0.8
✕Michael Paez 2019 · A	24	43	43→40	37→40	46	210/282/321	110	271	10	5	25%	7%	72	-0.7	208/270/297	89	260	7	5	22%	7%	61	-1.5	190/251/254	63	231	4	0	18%	6%	42	-1.7
✕Connor Kaiser 2021 · A	24	38	42→45	46→50	46	189/265/291	102	263	10	6	30%	8%	59	-1.7	193/262/310	117	276	12	11	32%	8%	62	-1.4	179/257/294	115	257	12	17	33%	9%	54	-0.8
✕Ronnie Richardson 2014 · A	24	43	41→40	47→50	45	211/274/317	106	277	8	8	26%	7%	68	-1.0	213/301/309	96	285	6	10	25%	9%	77	-0.3	204/305/297	93	275	5	10	24%	10%	74	-0.3
✕D.K. Carey 2016 · A	24	40→37	41→40	42→45	47	197/265/289	92	253	8	7	25%	8%	58	-1.7	187/262/278	91	268	8	6	31%	9%	55	-2.0	166/249/248	82	243	7	4	32%	9%	42	-1.6
✕Chase Strumpf 2022 · AA	24	42→37	43→50	48→45	46	205/287/320	115	295	10	7	32%	9%	74	-0.5	197/296/347	150	315	17	5	39%	10%	84	+0.2	181/287/333	152	294	19	3	41%	11%	75	-0.3
✕Clay Harris 2007 · A	24	41→44	44→45	43→30	47	206/278/322	116	266	11	2	26%	8%	71	-0.8	228/300/357	129	272	14	2	21%	8%	87	+0.4	234/310/367	133	268	15	0	18%	8%	92	+0.4
✕Jackson Brennan 2007 · A	24	45→41	42→40	46→50	47	217/304/323	107	295	9	10	28%	8%	81	-0.1	206/296/302	96	284	8	10	28%	9%	74	-0.6	191/290/275	85	265	7	10	28%	9%	64	-0.7
✕Alika Williams 2023 · AAA	24	42→45	42→45	43→45	44	210/266/307	97	266	10	7	25%	6%	62	-1.4	225/280/328	103	288	9	7	24%	6%	72	-0.7	245/294/352	106	307	8	5	22%	5%	80	-0.1
✕Anthony Seigler 2023 · A	24	39→40	42→45	46→55	54	193/293/304	111	262	9	11	28%	12%	73	-0.6	198/296/310	112	251	10	20	23%	12%	75	-0.5	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Niko Vasquez 2012 · AA	23	40→42	44→50	40→45	45	199/272/315	116	271	11	3	30%	8%	67	-1.1	203/267/307	104	267	8	5	26%	8%	63	-1.4	220/276/351	131	285	16	6	28%	6%	74	-0.3
✕Tim Millard 2019 · A	24	42	44→45	44→40	43	212/271/322	110	276	12	4	27%	7%	68	-1.0	204/274/298	94	293	9	6	31%	8%	63	-1.3	141/242/190	49	213	7	3	34%	10%	28	-0.8
✕Walter Sevilla 2006 · A	24	44	44→45	41→45	49	217/282/333	116	263	11	7	22%	8%	74	-0.5	205/264/303	98	264	8	7	24%	7%	60	-1.6	173/230/257	84	223	5	4	24%	7%	34	-1.2
✕Collin Price 2024 · A	24	37→36	43→50	43→45	44	186/262/299	114	266	11	4	33%	9%	60	-1.6	190/264/324	134	268	16	7	33%	8%	67	-1.1	176/256/317	141	243	18	8	34%	8%	60	-1.1
✕Jose Vizcaino Jr. 2017 · A	23	45→41	43→45	41→45	42	221/281/335	114	296	10	6	28%	6%	74	-0.5	209/258/299	90	314	7	8	34%	5%	57	-1.8	196/240/270	74	305	6	8	36%	4%	41	-2.2
✕Chase Pinder 2021 · AA	25	40	39→45	40→45	44	193/270/272	79	283	7	5	32%	8%	57	-1.8	215/305/341	126	282	13	8	26%	10%	86	+0.3	219/322/357	138	284	14	11	26%	12%	93	+0.4
✕Dallas Carroll 2018 · A	24	47→33	45	46→45	45	232/289/347	116	279	13	9	22%	6%	80	-0.1	186/247/266	80	257	7	7	29%	7%	46	-2.6	166/227/231	65	226	6	6	28%	7%	29	-3.8
✕Luis Carpio 2021 · AA	24	46→43	41→45	38→50	47	222/285/321	99	280	8	7	23%	8%	72	-0.7	207/265/299	92	292	7	10	30%	7%	60	-1.6	191/250/276	84	273	7	10	31%	7%	46	-1.3
✕Connor Justus 2019 · AA	24	39→37	38→40	42→45	46	187/272/266	79	264	6	8	29%	8%	56	-1.9	176/250/244	68	255	4	8	30%	7%	42	-2.9	151/222/201	49	225	2	6	31%	6%	20	-2.7

Slate Alford

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps