Danny De Andrade

2B Cedar Rapids Kernels

Age 23 R/R 5'11" / 190 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	20	A+MIN	117	.243/.333/.359	2	5	53	—	.190/.274/.257
2025	21	A+MIN	495	.229/.318/.387	9	15	56	—	.188/.263/.308
2026	22	AA/A+MIN	474	.242/.314/.418	15	9	56	—	.195/.255/.326
2027PROJMLE	23	MLBMIN	1	.188/.251/.309	0	0	57	-0.0
2028PROJ30% MLB	24	MLBMIN	133	.193/.257/.319	3	2	61	-0.3
2029PROJ44% MLB	25	MLBMIN	209	.196/.261/.326	5	3	64	-0.3

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

Speed76

ISO68

Z-Con%47

Whiff%41

wOBA39

wRC+39

Career WAR0.0 WAR median (P10 -0.2 / P90 0.1, comp-based) · star 1% · didn't stick 96%

CompsAlex Lavisky (age 23) · Kendall Simmons (age 23) · Blake Hunt (age 23)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†57

AVG/OBP/SLG.188 / .251 / .309

PA1

HR0

K%32

BB%6

BABIP263

ISO120

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 35 / POW 40

Toolsscout grade

CONTACT35

scouting grade only

POWER40

scouting grade only

EYE35

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-2M	+$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)
2021	17	ROK	DSL Twins	—	200	178	47	13	1	0	15	27	6	6	2	264	342	348	690	84	309	14	8	315	24	—	—	—	—	—	—
2022	18	ROK	FCL Twins	—	204	178	43	9	1	4	19	34	6	4	2	242	335	371	706	129	277	17	9	321	38	—	—	—	—	—	—
2023	19	A	Fort Myers Mighty Mussels	—	475	394	96	21	3	11	58	103	14	20	4	244	361	396	756	152	294	22	12	338	72	—	—	—	—	—	—
2024	20	A+	Cedar Rapids Kernels	—	117	103	25	6	0	2	8	20	6	5	2	243	333	359	693	117	284	17	7	318	53	—	—	—	—	—	—
2025	21	A+	Cedar Rapids Kernels	—	495	437	100	26	8	9	43	115	14	15	6	229	318	387	705	158	290	23	9	317	56	—	—	—	—	—	—
2026	22	AA	Wichita Wind Surge	—	28	27	7	0	0	0	0	8	1	0	0	259	286	259	545		368	29	0	252	32	—	—	—	—	—	—
2026	22	A+	Cedar Rapids Kernels	—	446	399	96	18	6	15	36	123	8	9	4	241	316	429	745	188	307	28	8	329	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Twins	—	200	182	31	8	1	0	11	34	6	6	2	170	241	225	466	55	200	17	6	204	24	—	—	—	—	—	—
2022	18	ROK MLE	FCL Twins	—	204	185	33	7	1	2	12	48	6	4	2	178	251	259	511	81	218	24	6	225	38	—	—	—	—	—	—
2023	19	A MLE	Fort Myers Mighty Mussels	—	475	412	85	16	3	9	40	144	14	20	4	206	298	325	624	119	271	30	8	275	72	—	—	—	—	—	—
2024	20	A+ MLE	Cedar Rapids Kernels	—	117	105	20	4	0	1	6	26	6	5	2	190	274	257	531	67	245	22	5	246	53	—	—	—	—	—	—
2025	21	A+ MLE	Cedar Rapids Kernels	—	495	448	84	19	7	7	32	149	14	15	6	188	263	308	571	121	260	30	6	251	56	—	—	—	—	—	—
2026	22	AA MLE	Wichita Wind Surge	—	28	27	6	0	0	0	0	10	1	0	0	222	250	222	472		353	36	0	216	32	—	—	—	—	—	—
2026	22	A+ MLE	Cedar Rapids Kernels	—	446	409	79	14	5	11	26	156	8	9	4	193	255	333	588	139	270	35	6	254	58	—	—	—	—	—	—
2021	17	ROK MLE	DSL Twins	—	200	182	31	8	1	0	11	34	6	6	2	170	241	225	466	55	208	17	6	204	24	—	—	—	—	—	—
2021	17	ROK RAW	DSL Twins	—	200	178	47	13	1	0	15	27	6	6	2	264	342	348	690	84	309	14	8	315	24	—	—	—	—	—	—
2022	18	ROK MLE	FCL Twins	—	204	185	33	7	1	2	12	48	6	4	2	178	251	259	511	81	228	24	6	225	38	—	—	—	—	—	—
2022	18	ROK RAW	FCL Twins	—	204	178	43	9	1	4	19	34	6	4	2	242	335	371	706	129	277	17	9	321	38	—	—	—	—	—	—
2023	19	A MLE	Fort Myers Mighty Mussels	—	475	412	85	16	3	9	40	144	14	20	4	206	298	325	624	119	284	30	8	275	72	—	—	—	—	—	—
2023	19	A RAW	Fort Myers Mighty Mussels	—	475	394	96	21	3	11	58	103	14	20	4	244	361	396	756	152	294	22	12	338	72	—	—	—	—	—	—
2024	20	A+ MLE	Cedar Rapids Kernels	—	117	105	20	4	0	1	6	26	6	5	2	190	274	257	531	67	244	22	5	246	53	—	—	—	—	—	—
2024	20	A+ RAW	Cedar Rapids Kernels	—	117	103	25	6	0	2	8	20	6	5	2	243	333	359	693	117	284	17	7	318	53	—	—	—	—	—	—
2025	21	A+ MLE	Cedar Rapids Kernels	—	495	448	84	19	7	7	32	149	14	15	6	188	263	308	571	121	263	30	6	251	56	—	—	—	—	—	—
2025	21	A+ RAW	Cedar Rapids Kernels	—	495	437	100	26	8	9	43	115	14	15	6	229	318	387	705	158	290	23	9	317	56	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	474	436	85	14	5	11	26	166	9	9	4	195	255	326	580	131	282	35	5	252	57	—	—	—	—	—	—
2026	22	A+ RAW	2 teams	—	474	426	103	18	6	15	36	131	9	9	4	242	314	418	732	176	311	28	8	324	57	—	—	—	—	—	—
2021	17	ROK MLE	DSL Twins	—	200	181	31	8	1	0	11	34	6	6	2	171	241	227	468	55	200	17	6	204	24	—	—	—	—	—	—
2022	18	ROK MLE	FCL Twins	—	204	184	33	7	1	2	12	48	6	4	2	179	251	261	512	82	218	24	6	225	38	—	—	—	—	—	—
2023	19	A MLE	Fort Myers Mighty Mussels	—	475	418	85	16	3	9	40	144	14	20	4	203	298	321	619	117	271	30	8	275	72	—	—	—	—	—	—
2024	20	A+ MLE	Cedar Rapids Kernels	—	117	104	20	4	0	1	6	26	6	5	2	192	274	260	533	67	245	22	5	246	53	—	—	—	—	—	—
2025	21	A+ MLE	Cedar Rapids Kernels	—	495	446	84	19	7	7	32	149	14	15	6	188	263	309	573	121	260	30	6	251	56	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	474	436	85	14	5	11	26	166	9	9	4	195	255	326	580	131	275	35	5	252	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	20	A+ MLE	Cedar Rapids Kernels	—	117	104	20	4	0	1	6	26	6	5	2	192	274	260	533	67	245	22	5	246	53	—	—	—	—	—	—
2025	21	A+ MLE	Cedar Rapids Kernels	—	495	446	84	19	7	7	32	149	14	15	6	188	263	309	573	121	260	30	6	251	56	—	—	—	—	—	—
2026	22	A+ MLE	2 teams	—	474	436	85	14	5	11	26	166	9	9	4	195	255	326	580	131	275	35	5	252	57	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	MIN	0%	572	523	98	19	5	11	33	184	11	9	4	188	251	309	560	120	263	32	6	252	57	-29	+0	+0	+2	+12	-0.2
▸ 2027 — real world (MLB)
2027	23	MLB CTX	MIN	0%	1	1	0	0	0	0	0	0	0	0	0	188	251	309	560	121	263	0	0	252	57	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	MIN	30%	439	402	78	15	4	9	26	138	8	7	3	193	257	319	575	126	265	31	6	259	61	-20	+0	+0	+2	+10	-0.9
2029	25	MLB MLE	MIN	44%	473	433	84	16	4	10	29	147	8	8	3	196	261	325	586	129	267	31	6	263	64	-20	+0	+0	+2	+10	-0.8
2030	26	MLB MLE	MIN	51%	492	449	89	17	4	11	31	150	9	8	3	198	264	329	593	131	268	30	6	266	66	-20	+0	+0	+2	+11	-0.7
2031	27	MLB MLE	MIN	52%	499	456	90	17	4	11	32	151	8	7	3	200	266	331	597	131	269	30	6	268	68	-19	+0	+0	+2	+11	-0.7
2032	28	MLB MLE	MIN	53%	498	454	90	17	4	11	33	150	8	6	3	201	267	330	597	130	269	30	7	268	68	-19	+0	-1	+2	+11	-0.7
2028	24	MLB CTX	MIN	30%	133	122	23	4	1	3	8	42	2	2	1	193	257	319	576	126	265	32	6	259	61	-6	+0	+0	+0	+3	-0.3
2029	25	MLB CTX	MIN	44%	209	190	38	7	2	5	13	65	4	3	1	196	261	326	587	130	267	31	6	264	64	-9	+0	+0	+1	+5	-0.3
2030	26	MLB CTX	MIN	51%	250	228	46	9	2	6	16	76	4	4	2	199	264	330	594	131	268	30	6	267	66	-10	+0	+0	+1	+5	-0.4
2031	27	MLB CTX	MIN	52%	262	239	48	9	2	6	17	79	4	4	2	200	266	331	597	131	269	30	6	268	68	-10	+0	+0	+1	+6	-0.4
2032	28	MLB CTX	MIN	53%	265	242	48	9	2	6	17	80	4	3	1	201	267	331	598	130	269	30	6	269	68	-10	+0	-0	+1	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1119	1021	203	38	9	26	71	342	18	16	7	199	263	330	593	131	269	31	6	266	61	-45	+0	-0	+4	+24	-1.7
/ 162G	—	A+C		—	650	593	118	22	5	15	41	199	10	9	4	199	262	329	591	130	270	31	6	266	61	-26	+0	-0	+2	+14	-1.0
Career	—	MLE		—	4576	4154	805	157	39	86	290	1371	100	98	36	194	263	312	575	119	264	30	6	258	61	-109	+1	-1	+9	+57	-4.3
/ 162G	—	MLE		—	650	590	114	22	6	12	41	195	14	14	5	193	262	312	574	119	264	30	6	258	61	-27	+0	-0	+2	+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.

2026 A+Cedar Rapids Kernels · 446 PAwOBA .322 → .254 (−68)K% 27.6% → 35.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.58%	÷1.000	×1.270	—	—	35.02%
BB% (unintentional) /PA	8.07%	÷1.000	×0.710	—	×1.012	5.80%
HBP% /PA	1.79%	—	×0.790	—	×1.012	1.43%
Singles /BIP	20.65%	÷1.000	×0.920	×0.988	×1.012	18.99%
Doubles /BIP	6.52%	÷1.000	×0.810	×0.988	×1.012	5.28%
Triples /BIP	2.17%	÷1.000	×0.850	×0.988	×1.012	1.85%
Home runs /BIP	5.43%	÷1.000	×0.800	—	×1.012	4.40%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — 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 ×0.988.

Result: wOBA .322 → .254; ISO .188 → .143; BABIP .307 → .270. 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 AAWichita Wind Surge · 28 PAwOBA .246 → .216 (−30)K% 28.6% → 34.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	28.57%	÷1.000	×1.220	—	—	34.86%
BB% (unintentional) /PA	0.00%	÷1.000	×0.700	—	×1.042	0.00%
HBP% /PA	3.57%	—	×0.870	—	×1.042	3.24%
Singles /BIP	36.84%	÷1.000	×0.920	—	×1.042	35.32%
Doubles /BIP	0.00%	÷1.000	×0.840	—	×1.042	0.00%
Triples /BIP	0.00%	÷1.000	×0.940	—	×1.042	0.00%
Home runs /BIP	0.00%	÷1.000	×0.800	—	×1.042	0.00%

Factors used: league row TL. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average).

Result: wOBA .246 → .216; ISO .000 → .000; BABIP .368 → .353. 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 A+Cedar Rapids Kernels · 495 PAwOBA .310 → .251 (−59)K% 23.2% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.23%	÷0.979	×1.270	—	—	30.13%
BB% (unintentional) /PA	8.69%	÷0.989	×0.710	—	×1.027	6.41%
HBP% /PA	2.83%	—	×0.790	—	×1.027	2.29%
Singles /BIP	17.70%	÷0.990	×0.920	×1.002	×1.027	16.93%
Doubles /BIP	8.07%	÷1.088	×0.810	×1.002	×1.027	6.19%
Triples /BIP	2.48%	÷0.943	×0.850	×1.002	×1.027	2.30%
Home runs /BIP	2.80%	÷0.962	×0.800	—	×1.027	2.39%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 92, 1B 98, 2B 118, 3B 89, K 96, BB 98 — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .310 → .251; ISO .158 → .124; BABIP .290 → .260. 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).

2024 A+Cedar Rapids Kernels · 117 PAwOBA .310 → .246 (−64)K% 17.1% → 22.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.09%	÷0.972	×1.270	—	—	22.33%
BB% (unintentional) /PA	6.84%	÷1.043	×0.710	—	×1.042	4.85%
HBP% /PA	5.13%	—	×0.790	—	×1.042	4.22%
Singles /BIP	20.48%	÷0.984	×0.920	×0.950	×1.042	18.95%
Doubles /BIP	7.23%	÷1.119	×0.810	×0.950	×1.042	5.18%
Triples /BIP	0.00%	÷1.146	×0.850	×0.950	×1.042	0.00%
Home runs /BIP	2.41%	÷1.191	×0.800	—	×1.042	1.69%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 138, 1B 97, 2B 124, 3B 129, K 94, BB 109 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .310 → .246; ISO .117 → .080; BABIP .284 → .245. 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 AFort Myers Mighty Mussels · 475 PAwOBA .336 → .275 (−61)K% 21.7% → 30.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.68%	÷0.969	×1.360	—	—	30.44%
BB% (unintentional) /PA	12.21%	÷1.050	×0.690	—	×1.045	8.39%
HBP% /PA	2.95%	—	×0.780	—	×1.045	2.40%
Singles /BIP	20.96%	÷0.938	×0.920	×0.950	×1.045	20.41%
Doubles /BIP	7.22%	÷1.053	×0.830	×0.950	×1.045	5.65%
Triples /BIP	1.03%	÷0.900	×0.910	×0.950	×1.045	1.03%
Home runs /BIP	3.78%	÷0.976	×0.800	—	×1.045	3.24%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 95, 1B 88, 2B 111, 3B 80, K 94, BB 110 — 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 ×0.950.

Result: wOBA .336 → .275; ISO .152 → .124; BABIP .294 → .271. 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).

2022 ROKFCL Twins · 204 PAwOBA .314 → .225 (−89)K% 16.7% → 23.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.67%	÷1.016	×1.440	—	—	23.63%
BB% (unintentional) /PA	9.31%	÷0.984	×0.620	—	×1.022	6.00%
HBP% /PA	2.94%	—	×0.720	—	×1.022	2.17%
Singles /BIP	20.14%	÷0.997	×0.820	×0.960	×1.022	16.26%
Doubles /BIP	6.25%	÷0.925	×0.720	×0.960	×1.022	4.78%
Triples /BIP	0.69%	÷0.972	×0.720	×0.960	×1.022	0.50%
Home runs /BIP	2.78%	÷1.282	×0.780	—	×1.022	1.73%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 156, 1B 99, 2B 85, 3B 94, K 103, BB 97 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.960.

Result: wOBA .314 → .225; ISO .129 → .086; BABIP .277 → .218. 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 DSLDSL Twins · 200 PAwOBA .309 → .204 (−104)K% 13.5% → 16.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.50%	÷0.983	×1.220	—	—	16.75%
BB% (unintentional) /PA	7.50%	÷0.983	×0.700	—	×1.022	5.46%
HBP% /PA	3.00%	—	×0.700	—	×1.022	2.15%
Singles /BIP	21.85%	÷0.986	×0.680	×0.950	×1.022	14.64%
Doubles /BIP	8.61%	÷0.971	×0.600	×0.950	×1.022	5.17%
Triples /BIP	0.66%	÷1.093	×0.600	×0.950	×1.022	0.35%
Home runs /BIP	0.00%	÷1.000	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 97, 2B 94, 3B 119, K 97, BB 97 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .309 → .204; ISO .084 → .050; BABIP .309 → .200. 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
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Frank Duffy'70-'79 * career totals — 7 seasons, 2,924 PA	4.4	2,924	26	49	234*	283*	348*	+30	-2	0.9	2.1
/162	664	6	11	+6.7	-0.5	0.2	pk7: 3
#3Ryan 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
#4Andres Thomas'85-'90 * career totals — 5 seasons, 2,185 PA	3.3	2,185	42	22	234*	256*	361*	+23	+24	0.5	0.5
/162	664	13	7	+7.1	+7.3	0.2	pk7: 0
#5Todd Cruz'78-'84 * career totals — 5 seasons, 1,634 PA	2.5	1,634	34	9	215*	250*	348*	+13	+35	0.5	0.5
/162	664	14	4	+5.4	+14.2	0.2	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.7	1,120	25	16	199	261	329	+12	+6	-0.1	-0.1
/162	664	15	10	+7.1	+3.6	-0.1	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Danny De Andrade (OGILVIE)	23	35	40	50	35	187/249/306	119	263	4	3	32%	6%	57	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alex Lavisky 2014 · AA	23	38	43→45	46→30	37	194/243/298	104	274	11	3	33%	5%	52	-2.2	213/259/305	92	270	9	4	24%	5%	59	-1.7	211/254/287	76	257	9	1	21%	5%	49	-0.8
✕Kendall Simmons 2023 · A	23	36	47→50	49→50	38	188/250/319	131	265	15	10	34%	6%	60	-1.6	206/269/349	143	296	16	9	34%	6%	74	-0.6	201/265/348	147	289	17	7	35%	6%	70	-0.3
✕Blake Hunt 2022 · AA	23	36	43→50	49→40	39	181/242/290	109	276	11	4	37%	7%	50	-2.3	203/259/322	119	277	12	4	30%	6%	63	-1.3	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Johan Lopez 2023 · AA	23	39	43→45	51→55	40	194/269/303	109	291	11	13	35%	7%	63	-1.3	205/275/304	99	311	8	12	34%	8%	65	-1.2	176/264/251	75	285	3	11	36%	10%	48	-0.5
✕Ben Ross 2024 · AA	23	38→44	47→45	49→55	43	196/263/327	131	268	15	9	32%	8%	67	-1.1	189/255/313	124	267	14	16	33%	8%	60	-1.6	186/257/314	129	258	15	19	33%	8%	59	-1.3
✕Juan Zabala 2022 · AA	23	40	43→40	45→50	38	200/256/310	110	299	11	7	36%	6%	59	-1.6	216/277/306	90	297	8	16	28%	7%	66	-1.1	205/266/287	81	283	8	16	29%	7%	55	-0.8
✕Ramón Rodríguez 2022 · AA	23	43	43→40	47→45	40	214/258/319	105	272	11	5	26%	5%	61	-1.5	221/274/313	92	256	9	8	17%	6%	67	-1.1	216/277/308	92	237	10	8	14%	7%	65	-0.5
✕Jefrey Ramos 2022 · AA	23	38→41	44→45	49→40	37	196/240/313	117	271	13	6	32%	5%	54	-2.0	203/263/309	106	278	10	8	29%	6%	61	-1.5	153/231/202	49	199	5	0	24%	6%	24	-0.7
✕Luis Santana 2022 · AA	23	40	43→45	47→50	40	202/261/310	108	272	11	10	29%	6%	61	-1.5	216/274/340	124	275	14	9	26%	6%	74	-0.6	207/266/326	119	257	14	7	25%	5%	64	-0.8
✕Ismael Alcantara 2023 · AA	24	38→30	45	50	37	195/253/316	121	280	13	12	34%	6%	60	-1.6	211/268/301	90	312	8	17	33%	6%	61	-1.5	216/273/285	69	324	7	24	33%	6%	57	-1.2
✕Jason Lopez 2021 · A	23	41	43→50	46→45	38	204/251/318	114	286	10	7	32%	5%	59	-1.6	198/261/298	100	298	9	10	34%	8%	58	-1.7	169/237/256	87	252	9	10	35%	8%	38	-0.8
✕Jake Rucker 2023 · AAA	23	42	41→45	48→50	44	205/278/313	108	281	8	12	28%	7%	69	-0.9	206/265/307	101	267	9	9	25%	6%	62	-1.4	206/270/322	116	240	13	9	20%	7%	65	-0.7
✕Steven Baron 2014 · A	23	35	40→45	53→50	34	180/213/275	96	257	7	9	33%	4%	34	-3.5	216/263/300	84	296	5	9	27%	6%	59	-1.7	236/292/311	74	314	4	8	24%	7%	69	-0.4
✕Jase Bowen 2024 · AA	23	37→42	47→50	55	36	194/247/321	127	273	15	17	34%	5%	59	-1.7	209/260/339	130	297	14	20	33%	5%	68	-1.0	209/260/343	134	298	14	23	33%	6%	66	-0.7
✕Fabian Pertuz 2024 · AA	23	35→36	40	51→55	36	179/227/266	87	258	7	13	33%	5%	38	-3.2	186/239/281	95	297	9	11	38%	6%	46	-2.6	156/208/244	89	265	10	7	43%	5%	24	-2.2
✕Grae Kessinger 2022 · AA	24	38→30	42→45	48→50	41	192/253/286	94	259	11	15	30%	6%	53	-2.1	198/271/310	112	262	13	14	28%	8%	66	-1.1	186/264/278	92	250	9	8	27%	8%	55	-0.8
✕Todd Glaesmann 2014 · AA	23	42→44	44→50	49→50	35	212/252/329	116	288	11	7	30%	4%	62	-1.4	215/249/348	133	282	13	8	28%	4%	65	-1.2	210/240/354	144	267	15	7	28%	3%	60	-0.8
✕Bryson Ware 2024 · A	23	39→32	44→45	50	40	196/260/308	112	283	12	11	34%	7%	61	-1.5	189/249/307	118	281	13	11	36%	6%	56	-1.9	182/242/307	125	267	15	11	36%	6%	51	-1.4
✕Jarek Cunningham 2013 · AA	23	38→39	44→50	46→45	37	193/250/317	124	274	11	6	33%	5%	59	-1.7	196/248/328	132	269	14	7	32%	5%	61	-1.5	188/239/325	137	255	15	7	32%	5%	55	-1.3
✕Cody Puckett 2010 · A	23	38→40	46→50	51→50	37	199/250/327	129	279	15	11	34%	6%	61	-1.5	204/255/347	143	278	15	11	31%	5%	68	-1.0	196/250/340	143	260	16	11	30%	5%	63	-1.1

Danny De Andrade

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps