Andrew Kachel — OGILVIE

Andrew Kachel2B Eugene Emeralds

Age 25 L/R 6'0" / 170 lbs A+ HR -15%H -3% Svc 0.0 · Ctrl thru 2035

2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 235 proj PA

wRC+†65

AVG/OBP/SLG.200 / .278 / .292

PA19

HR0

K%27

BB%8

ISO92

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 24 / POW 35

Toolsscout grade

CONTACT24

scouting grade only

POWER35

scouting grade only

EYE50

scouting grade only

SPEED53

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
2031	Pre-Arb	$0.9M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$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. 2026 = actual YTD + projected ROS + total. 2027+ 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)
2022	21	ROK	ACL Giants Orange	—	35	29	9	0	0	0	5	2	0	1	0	310	412	310	722		321	6	14	332	111	+0	+0	—	—	+1	0.1
2023	22	A+	Eugene Emeralds	—	41	36	9	4	0	0	4	14	0	3	0	250	325	361	686	111	391	34	10	304	92	-0	+1	—	—	+1	0.1
2023	22	A	San Jose Giants	—	332	284	82	20	2	6	41	83	1	7	1	289	378	437	815	148	382	25	12	360	130	+12	+1	—	—	+7	2.0
2024	23	AA	Richmond Flying Squirrels	—	67	57	13	3	0	2	7	16	3	1	0	228	343	386	729	158	282	24	10	333	112	+1	+0	—	—	+1	0.3
2024	23	A+	Eugene Emeralds	—	228	188	49	6	1	2	31	59	7	11	3	261	385	335	720	74	367	26	14	335	113	+4	+1	—	—	+5	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	ROK MLE	ACL Giants Orange	—	35	31	8	0	0	0	3	3	0	1	0	258	324	258	582		268	9	9	273	71	-1	+0	—	—	+1	-0.0
2023	22	A+ MLE	Eugene Emeralds	—	41	37	7	3	0	0	3	19	0	3	0	189	250	270	520	81	307	46	7	205	25	-4	+1	—	—	+1	-0.2
2023	22	A MLE	San Jose Giants	—	332	299	66	15	2	6	28	119	1	7	1	221	290	344	634	124	325	36	8	275	72	-11	+1	—	—	+7	-0.3
2024	23	AA MLE	Richmond Flying Squirrels	—	67	59	10	2	0	1	5	19	3	1	0	169	269	254	523	85	250	28	7	262	63	-3	+0	—	—	+1	-0.1
2024	23	A+ MLE	Eugene Emeralds	—	228	200	36	4	1	1	19	85	7	11	3	180	274	225	499	45	298	37	8	232	43	-15	+1	—	—	+5	-1.0
2022	21	ROK MLE	ACL Giants Orange	—	35	31	8	0	0	0	3	3	0	1	0	258	324	258	582		276	9	9	273	71	—	—	—	—	—	—
2022	21	ROK RAW	ACL Giants Orange	—	35	29	9	0	0	0	5	2	0	1	0	310	412	310	722		321	6	14	332	71	—	—	—	—	—	—
2023	22	A MLE	2 teams	—	373	336	72	18	2	6	31	138	1	10	1	214	283	333	616	119	335	37	8	267	67	—	—	—	—	—	—
2023	22	A RAW	2 teams	—	373	320	91	24	2	6	45	97	1	10	1	284	372	428	800	144	383	26	12	354	67	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	295	259	49	7	1	3	24	104	10	12	3	189	283	259	542	69	301	35	8	239	48	—	—	—	—	—	—
2024	23	A+ RAW	2 teams	—	295	245	62	9	1	4	38	75	10	12	3	253	375	347	722	94	347	25	13	335	48	—	—	—	—	—	—
2022	21	ROK MLE	ACL Giants Orange	—	35	32	8	0	0	0	3	3	0	1	0	250	324	250	574		268	9	9	273	71	—	—	—	—	—	—
2023	22	A MLE	2 teams	—	373	338	72	18	2	6	31	138	1	10	1	213	283	331	614	118	323	37	8	267	67	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	295	259	49	7	1	3	24	104	10	12	3	189	283	259	542	69	287	35	8	239	48	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	2 teams	—	373	338	72	18	2	6	31	138	1	10	1	213	283	331	614	118	323	37	8	267	67	—	—	—	—	—	—
2024	23	A+ MLE	2 teams	—	295	259	49	7	1	3	24	104	10	12	3	189	283	259	542	69	287	35	8	239	48	—	—	—	—	—	—
▸ 2026 season
2026	25	MLB MLE	SF	0%	19	17	3	1	0	0	2	5	0	0	0	176	263	235	498	59	271	26	11	264	65	-1	+0	+0	+0	+0	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	SF	30%	269	241	50	10	1	4	22	72	4	5	1	207	285	307	592	100	274	27	8	273	71	-9	+1	+0	+1	+6	-0.2
2028	27	MLB MLE	SF	42%	322	287	60	12	1	5	27	85	5	7	2	209	288	310	599	101	275	26	8	277	73	-10	+1	+0	+1	+7	-0.2
2029	28	MLB MLE	SF	48%	355	317	66	13	1	6	30	93	5	7	2	208	287	312	599	104	275	26	8	278	74	-11	+1	-1	+1	+8	-0.2
2030	29	MLB MLE	SF	49%	369	329	69	14	1	6	32	97	5	7	2	210	290	313	603	103	275	26	9	277	74	-12	+1	-1	+1	+8	-0.3
2031	30	MLB MLE	SF	50%	377	336	69	14	1	6	33	100	5	7	2	205	286	307	593	101	273	27	9	274	72	-13	+1	-2	+1	+8	-0.5
2027	26	MLB CTX	SF	30%	82	74	14	3	0	1	7	22	1	2	0	189	268	270	539	81	268	27	9	256	71	-3	+0	+0	+0	+2	-0.0
2028	27	MLB CTX	SF	42%	134	120	25	5	1	2	11	35	2	3	1	208	286	317	602	108	270	26	8	260	73	-4	+0	+0	+0	+3	-0.1
2029	28	MLB CTX	SF	48%	169	151	31	6	1	3	14	44	2	3	1	205	281	318	599	113	270	26	8	261	74	-5	+0	-0	+1	+4	-0.1
2030	29	MLB CTX	SF	49%	182	161	34	7	1	3	16	48	3	3	1	211	294	323	617	112	269	26	9	261	74	-6	+0	-1	+1	+4	-0.2
2031	30	MLB CTX	SF	50%	189	168	35	7	1	3	16	50	3	3	1	208	289	315	604	107	268	26	8	258	72	-6	+0	-1	+1	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	756	674	139	28	4	12	64	199	11	14	4	206	286	313	599	107	272	26	8	260	69	-24	+1	-2	+3	+16	-0.6
/ 162G	—	A+C		—	650	579	119	24	3	10	55	171	9	12	3	206	284	309	593	104	272	26	8	260	69	-21	+1	-2	+2	+14	-0.5
Career	—	MLE		—	2414	2153	446	89	8	36	204	697	35	56	13	207	286	306	592	99	286	29	8	270	69	-56	+3	-4	+6	+37	-1.4
/ 162G	—	MLE		—	650	580	120	24	2	10	55	188	9	15	4	207	286	307	593	100	285	29	8	270	69	-21	+1	-2	+2	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Adam 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
#3Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#4Ryan 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
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.1	757	13	15	210	287	318	+3	+2	0.0	0.1
/162	664	11	13	+2.4	+1.8	0.0	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
Andrew Kachel (OGILVIE)	25	24	35	53	50	200/278/292	92	271	3	5	27%	8%	65	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jackson Cluff 2022 · AA	25	40→30	40→45	49→60	38	194/261/281	86	283	7	12	32%	5%	55	-1.9	180/256/281	101	278	9	16	36%	8%	53	-2.1	179/271/301	122	264	12	28	34%	10%	62	-0.8
✕Shayne Fontana 2022 · AA	25	41	42→45	48→55	46	196/275/302	106	285	8	8	32%	9%	65	-1.2	214/296/317	103	297	10	14	29%	8%	76	-0.4	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Matt Rudick 2023 · AAA	25	43→42	39→45	54→50	49	204/288/295	92	256	5	16	21%	8%	69	-0.9	215/301/330	115	271	10	14	23%	9%	82	-0.0	198/293/309	111	248	11	16	23%	10%	71	-0.4
✕Julian Escobedo 2023 · AA	25	38→36	41→40	48→50	41	189/253/285	96	258	8	14	29%	6%	53	-2.1	205/270/318	113	284	10	14	30%	6%	67	-1.1	179/250/307	128	258	11	20	33%	6%	54	-0.5
✕River Town 2023 · A	24	40→38	45→40	55→50	46	202/283/328	125	257	12	15	26%	8%	75	-0.5	216/303/308	92	269	8	14	21%	9%	78	-0.3	215/312/285	70	264	6	15	19%	9%	74	-0.3
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Jacob Rhinesmith 2021 · A	25	43	42→45	50	46	210/270/317	107	258	9	11	22%	7%	66	-1.1	211/275/315	104	277	9	9	25%	7%	68	-1.0	211/280/331	120	268	10	8	24%	8%	71	-0.6
✕Nick Vickerson 2014 · A	25	38	42→40	49→50	48	189/277/293	104	262	10	13	30%	10%	65	-1.2	203/300/302	99	285	9	11	29%	11%	76	-0.4	188/304/272	85	264	8	11	28%	12%	68	-0.6
✕Brian Jeroloman 2010 · AAA	25	44→38	40	47→40	52	209/295/296	87	288	7	2	28%	11%	72	-0.7	206/295/292	86	304	8	5	31%	11%	71	-0.8	197/295/266	69	290	6	4	31%	11%	63	-0.6
✕Cam Gibson 2019 · AA	25	40→41	43→45	54→55	43	199/264/310	111	274	10	17	30%	7%	62	-1.4	203/266/305	102	279	8	19	28%	7%	62	-1.4	187/251/284	97	253	7	25	27%	6%	49	-1.8
✕Matthew Morizio 2009 · A	25	40	38→40	48→50	47	193/266/271	77	258	5	9	26%	8%	55	-2.0	188/257/262	74	249	4	9	24%	7%	49	-2.4	119/196/142	23	155	0	3	21%	7%	-2	-1.3
✕Maverick Handley 2023 · AA	25	39	44→40	50	44	196/280/314	118	270	12	12	31%	8%	70	-0.8	201/290/289	88	281	7	11	29%	9%	68	-1.0	190/279/259	68	265	4	8	27%	9%	56	-0.7
✕Jacob Pearson 2023 · AA	25	39	40	50	45	192/259/283	92	259	7	19	28%	8%	55	-2.0	199/263/303	104	295	9	15	33%	7%	60	-1.6	132/195/249	117	217	11	13	43%	7%	19	-0.8
✕Aaron Antonini 2023 · AA	25	37	43→40	46→45	45	187/273/288	101	243	12	5	27%	8%	62	-1.4	210/288/330	120	290	13	9	31%	7%	77	-0.3	183/273/312	129	276	14	8	36%	7%	66	-0.3
✕Patrick Dorrian 2021 · A	25	42→38	42→50	51→45	40	204/259/318	114	293	9	7	32%	6%	62	-1.4	196/263/336	140	295	16	6	37%	8%	69	-0.9	185/255/332	147	273	18	5	38%	8%	61	-1.0
✕César Salazar 2021 · A	25	44→41	41→45	46→45	42	214/267/309	95	266	8	8	23%	5%	63	-1.3	209/278/339	130	256	15	8	24%	6%	75	-0.5	203/308/311	108	241	12	6	20%	9%	79	-0.1
✕Morgan McCullough 2023 · AA	25	44	43→45	46→50	45	213/295/327	115	301	10	10	31%	8%	78	-0.3	205/286/325	120	295	11	14	32%	9%	75	-0.5	189/275/311	122	271	11	17	32%	9%	67	-0.5
✕Ben Rortvedt 2023 · MLB	25	38	46→45	46→40	39	196/258/318	122	283	14	4	35%	7%	63	-1.4	207/287/317	110	285	12	5	29%	9%	74	-0.6	195/283/285	90	265	9	2	28%	9%	64	-0.6
✕Preston Beck 2016 · AA	25	43→44	42→45	49→45	48	208/275/315	107	259	9	8	23%	8%	68	-1.0	218/270/322	104	273	8	6	22%	6%	67	-1.1	218/268/320	101	275	8	3	23%	5%	63	-0.9
✕Arquímedes Gamboa 2023 · AAA	25	42→45	41→40	53→50	47	202/277/299	97	284	9	12	30%	9%	65	-1.2	210/291/309	99	308	8	15	31%	10%	73	-0.6	202/291/293	92	298	8	17	32%	11%	67	-0.7

Career Stats + Projections

Career Comps

Career Path Comps