Kyeler Thompson — OGILVIE

Kyeler ThompsonCF Ontario Tower Buzzers

Age 22 R/R A HR +8%BB -8% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 53 proj PA

wRC+†77

AVG/OBP/SLG.228 / .294 / .325

PA53

HR1

K%22

BB%7

ISO98

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · Contract

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	+0.1	$0.3M	+$0.0M (cut)
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Arb-1	$3M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.4M	+$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 = actual YTD + projected ROS + total. 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)
2026	21	A	Ontario Tower Buzzers	—	22	19	7	0	1	0	2	2	1	0	1	368	455	474	928	105	412	9	9	417	128	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Ontario Tower Buzzers	—	22	20	7	0	1	0	1	3	1	0	1	350	409	450	859	100	378	14	5	357	128	—	—	—	—	—	—
2026	21	A MLE	Ontario Tower Buzzers	—	22	20	7	0	1	0	1	3	1	0	1	350	409	450	859	100	412	14	5	357	128	—	—	—	—	—	—
2026	21	A RAW	Ontario Tower Buzzers	—	22	19	7	0	1	0	2	2	1	0	1	368	455	474	928	105	412	9	9	417	128	—	—	—	—	—	—
2026	21	A MLE	Ontario Tower Buzzers	—	22	20	7	0	1	0	1	3	1	0	1	350	409	450	859	100	378	14	5	357	128	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Ontario Tower Buzzers	—	22	20	7	0	1	0	1	3	1	0	1	350	409	450	859	100	378	14	5	357	128	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAD	0%	132	120	26	2	2	1	9	30	2	1	1	231	296	328	624	98	291	23	7	282	77	-4	-0	+0	+0	+3	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAD	34%	152	138	33	3	3	2	10	34	3	2	1	232	298	335	633	102	292	22	7	286	79	-4	+0	+0	+1	+3	0.0
2029	24	MLB MLE	LAD	46%	271	246	58	5	5	4	18	60	5	3	1	234	300	340	640	106	293	22	7	289	81	-6	+0	+0	+1	+6	0.1
2030	25	MLB MLE	LAD	52%	346	313	73	7	6	5	24	77	6	4	1	235	301	344	646	110	293	22	7	291	83	-7	+0	+0	+1	+7	0.2
2031	26	MLB MLE	LAD	54%	395	357	84	9	6	6	28	88	7	4	2	235	302	348	650	112	292	22	7	292	84	-8	+0	+0	+1	+9	0.2
2032	27	MLB MLE	LAD	54%	419	379	90	10	7	7	30	94	7	4	2	235	302	348	650	113	292	22	7	293	84	-8	+0	+0	+1	+9	0.3
2033	28	MLB MLE	LAD	54%	431	391	92	10	7	7	30	98	7	3	2	233	300	344	644	111	291	23	7	290	82	-9	-0	-1	+2	+9	0.1
2034	29	MLB MLE	LAD	53%	431	391	91	10	7	6	30	99	7	1	1	231	298	338	636	107	290	23	7	287	80	-10	-0	-1	+2	+9	-0.1
2035	30	MLB MLE	LAD	52%	427	387	89	9	7	6	30	99	7	1	1	228	294	331	625	103	289	23	7	282	77	-12	-0	-2	+2	+9	-0.3
2028	23	MLB CTX	LAD	34%	52	48	11	1	1	1	3	12	1	1	0	227	293	323	616	96	284	23	6	279	79	-1	+0	+0	+0	+1	0.0
2029	24	MLB CTX	LAD	46%	125	114	26	2	2	2	8	28	2	1	1	228	295	329	624	100	285	22	6	282	81	-3	-0	+0	+0	+3	0.0
2030	25	MLB CTX	LAD	52%	179	162	38	4	3	3	12	40	3	2	1	229	296	333	630	104	285	22	7	285	83	-4	+0	+0	+1	+4	0.1
2031	26	MLB CTX	LAD	54%	214	193	44	4	3	3	15	48	4	2	1	230	297	337	634	107	285	22	7	286	84	-4	+0	+0	+1	+5	0.1
2032	27	MLB CTX	LAD	54%	227	205	47	5	3	4	16	51	4	2	1	230	297	338	635	108	284	22	7	287	84	-4	+0	+0	+1	+5	0.1
2033	28	MLB CTX	LAD	54%	234	211	48	5	3	4	17	53	4	1	1	228	296	334	629	106	284	23	7	284	82	-5	-0	-0	+1	+5	0.0
2034	29	MLB CTX	LAD	53%	229	207	47	5	3	3	16	52	4	1	1	226	293	328	621	102	283	23	7	281	80	-5	-0	-1	+1	+5	-0.1
2035	30	MLB CTX	LAD	52%	224	202	46	5	3	3	16	52	4	1	1	223	290	320	610	98	281	23	7	276	77	-6	-0	-1	+1	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1484	1342	307	31	21	23	103	336	26	11	7	229	296	335	631	106	287	23	7	283	82	-32	-1	-2	+5	+32	0.2
/ 162G	—	A+C		—	650	588	135	14	9	10	45	147	11	5	3	230	297	335	632	105	288	23	7	283	82	-14	-0	-1	+2	+14	0.1
Career	—	MLE		—	2947	2671	629	64	50	44	204	664	51	23	12	235	302	346	648	111	296	23	7	289	82	-64	+0	-4	+10	+63	0.5
/ 162G	—	MLE		—	650	589	139	14	11	10	45	146	11	5	3	236	302	348	650	112	296	22	7	289	82	-14	+0	-1	+2	+14	0.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jack Hannahanlast yr '14 career totals — 7 seasons, 1,867 PA	2.8	1,867	29	6	232	315	348	+6	+29	6.2	6.2
/162	664	10	2	+2.0	+10.4	2.2	pk7: 6
#2Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#3Adam 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
#4Guillermo 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
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.3	1,537	23	11	234	297	343	+5	+12	1.4	1.3
/162	664	10	5	+2.4	+5.4	0.6	pk7: 1
#6Nick 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

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
Kyeler Thompson (OGILVIE)	22	—	—	—	—	228/294/325	97	291	1	1	22%	7%	77	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Zach Houchins 2015 · A	22	46→43	42→50	51→40	43	227/273/335	108	276	9	6	22%	5%	71	-0.8	213/257/331	118	248	12	3	19%	5%	64	-1.3	217/255/363	146	252	18	4	22%	4%	68	-0.7
✕Ronarsy Ledesma 2015 · A	22	44	41→45	47→50	41	212/262/314	102	269	7	9	24%	5%	62	-1.4	199/246/283	84	329	7	7	39%	5%	49	-2.4	179/223/234	55	313	7	10	43%	4%	26	-1.3
✕Raul Beracierta 2021 · A	22	46	40→45	50	45	219/289/315	96	305	7	8	29%	8%	73	-0.6	216/263/340	124	322	13	6	35%	5%	69	-0.9	213/256/344	131	310	16	3	35%	5%	63	-0.6
✕Matt Fiedler 2017 · A	22	48	41→45	50	44	233/281/339	106	290	8	9	22%	6%	75	-0.5	220/273/321	101	289	8	8	26%	6%	68	-1.0	210/265/311	101	273	9	8	26%	6%	60	-0.5
✕Brennan Milone 2023 · A	22	50→46	39→45	50→45	46	239/301/325	86	316	7	7	25%	8%	79	-0.2	223/299/352	129	290	14	5	26%	9%	85	+0.2	210/290/338	127	271	14	5	27%	9%	77	-0.3
✕Mike McGee 2012 · A	23	48→43	42→45	50→45	45	234/284/349	115	285	8	8	21%	6%	78	-0.3	212/270/328	116	275	12	9	26%	7%	68	-1.0	196/258/308	112	250	13	8	27%	7%	57	-0.9
✕Weston Wilson 2017 · A	22	48→42	41→55	48→55	45	232/285/342	111	279	6	6	19%	6%	77	-0.3	209/259/319	110	288	11	6	30%	5%	62	-1.4	204/282/368	164	260	22	25	30%	9%	82	-0.0
✕Devin Mann 2019 · A	22	44→45	38→50	46→45	49	210/286/293	83	282	5	9	26%	9%	67	-1.1	219/290/369	150	286	17	7	28%	8%	86	+0.3	213/299/370	157	281	17	4	29%	9%	88	+0.3
✕Blake Hunt 2021 · A	22	42	40→50	49→40	44	206/262/301	95	270	7	6	26%	6%	59	-1.6	193/252/308	115	279	11	4	33%	6%	58	-1.7	215/280/358	143	272	16	1	27%	7%	77	-0.1
✕Corey Joyce 2021 · A	22	45	40	50	39	212/268/307	95	312	8	8	33%	6%	63	-1.4	203/292/311	108	294	11	12	32%	9%	74	-0.5	214/316/317	103	300	9	14	28%	10%	82	+0.0
✕Stuart Fairchild 2018 · A	22	47→43	38→50	51→55	43	223/285/304	80	285	6	11	23%	6%	69	-0.9	212/277/321	109	295	9	11	29%	6%	70	-0.9	222/308/380	158	297	16	16	29%	8%	94	+0.5
✕Zach Green 2016 · A	22	43→44	40→55	49→40	39	212/253/306	95	286	8	6	28%	5%	56	-1.9	206/261/339	133	322	14	3	39%	5%	68	-1.0	199/267/383	183	305	23	1	40%	7%	79	-0.1
✕Jake Rucker 2022 · A	22	48→42	39→45	50	45	225/300/312	87	311	5	9	28%	8%	77	-0.3	206/271/311	105	280	8	10	28%	7%	65	-1.2	206/270/322	116	240	13	9	20%	7%	65	-0.7
✕Cody Farhat 2019 · A	22	44	39→50	50	44	211/273/303	92	270	6	9	23%	6%	63	-1.3	195/254/306	111	306	9	9	37%	5%	58	-1.7	175/233/308	133	269	13	11	38%	4%	49	-0.8
✕Alejandro Selen 2011 · A	22	44	40→50	50→30	40	214/261/306	91	282	6	8	26%	5%	59	-1.6	224/266/361	137	330	14	3	35%	4%	75	-0.5	220/256/360	140	315	15	1	34%	3%	68	-0.4
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕Arturo Rivas 2006 · A	22	44→45	44→45	50→45	47	215/287/342	127	276	9	8	25%	8%	78	-0.3	224/286/341	117	310	9	7	29%	7%	78	-0.3	224/287/339	115	316	8	5	30%	7%	76	-0.2
✕José Caballero 2018 · A	21	47→45	39→45	54→70	39	222/273/314	92	299	6	7	27%	5%	66	-1.1	222/292/327	105	280	8	19	23%	7%	77	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Charles Leblanc 2018 · A	22	45→53	41→50	50→45	45	222/272/315	93	271	9	7	22%	6%	66	-1.1	220/270/307	87	308	7	5	29%	6%	63	-1.4	221/306/357	136	312	15	7	31%	10%	87	+0.3
✕Evan Van Hoosier 2016 · A	22	50→47	42→50	55→50	41	237/282/357	121	312	7	9	26%	6%	79	-0.2	222/269/320	98	297	7	10	26%	5%	65	-1.2	179/236/266	87	238	9	17	28%	4%	40	-0.6

Career Stats + Projections

Career Comps

Career Path Comps