Kendry Chirinos — OGILVIE

Kendry Chirinos3B Vancouver Canadians

Age 21 R/R 5'11" / 170 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION195 act + 26 ros · stats below = ROS only

showingROS

wRC+†46

AVG/OBP/SLG.167 / .231 / .208

PA26

HR0

K%38

BB%8

BABIP287

ISO42

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 40 / POW 30

Toolsscout grade

CONTACT40

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED40

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		$-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. 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	17	ROK	DSL Blue Jays	—	177	133	24	10	0	1	35	48	7	0	0	180	377	278	655	98	267	27	20	318	101	+0	+0	—	—	+4	0.4
2023	18	A	Dunedin Blue Jays	—	15	10	0	0	0	0	5	5	0	0	0		333		333			33	33	233	44	-1	+0	—	—	+0	-0.1
2023	18	ROK	FCL Blue Jays	—	138	96	19	0	0	2	37	46	4	2	1	198	438	260	698	63	347	33	27	350	123	+4	+0	—	—	+3	0.7
2024	19	ROK	FCL Blue Jays	—	164	140	42	8	3	2	16	41	8	7	2	300	402	443	845	143	412	25	10	382	144	+9	+1	—	—	+4	1.3
2025	20	A	Dunedin Blue Jays	—	382	322	82	13	3	6	49	97	6	0	1	255	363	370	733	115	339	25	13	332	111	+5	-0	—	—	+8	1.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Blue Jays	—	177	147	18	7	0	1	21	69	7	0	0	122	263	190	453	68	209	39	12	214	31	-15	+0	—	—	+4	-1.1
2023	18	A MLE	Dunedin Blue Jays	—	15	11	0	0	0	0	4	7	0	0	0		267		267			47	27	162	-4	-2	+0	—	—	+0	-0.2
2023	18	ROK MLE	FCL Blue Jays	—	138	110	15	0	0	1	23	66	4	2	1	136	307	164	470	27	305	48	17	242	50	-8	+0	—	—	+3	-0.5
2024	19	ROK MLE	FCL Blue Jays	—	164	146	31	5	2	2	10	59	8	7	2	212	299	315	614	103	334	36	6	263	64	-7	+1	—	—	+4	-0.3
2025	20	A MLE	Dunedin Blue Jays	—	382	335	69	11	3	4	36	142	6	0	1	206	294	293	587	87	322	37	9	261	63	-17	-0	—	—	+8	-0.9
2022	17	ROK MLE	DSL Blue Jays	—	177	147	18	7	0	1	21	69	7	0	0	122	263	190	453	68	215	39	12	214	31	—	—	—	—	—	—
2022	17	ROK RAW	DSL Blue Jays	—	177	133	24	10	0	1	35	48	7	0	0	180	377	278	655	98	267	27	20	318	31	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	153	122	15	0	0	1	26	73	4	2	1	123	296	148	444	25	286	48	17	234	45	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	153	106	19	0	0	2	42	51	4	2	1	179	428	236	663	57	315	33	27	338	45	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	164	146	31	5	2	2	10	59	8	7	2	212	299	315	614	103	341	36	6	263	64	—	—	—	—	—	—
2024	19	ROK RAW	FCL Blue Jays	—	164	140	42	8	3	2	16	41	8	7	2	300	402	443	845	143	412	25	10	382	64	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	382	335	69	11	3	4	36	142	6	0	1	206	294	293	587	87	335	37	9	261	63	—	—	—	—	—	—
2025	20	A RAW	Dunedin Blue Jays	—	382	322	82	13	3	6	49	97	6	0	1	255	363	370	733	115	339	25	13	332	63	—	—	—	—	—	—
2022	17	ROK MLE	DSL Blue Jays	—	177	147	18	7	0	1	21	69	7	0	0	122	263	190	453	68	209	39	12	214	31	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	153	122	15	0	0	1	26	73	4	2	1	123	296	148	444	25	275	48	17	234	45	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	164	145	31	5	2	2	10	59	8	7	2	214	299	317	616	103	334	36	6	263	64	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	382	337	69	11	3	4	36	142	6	0	1	205	294	291	585	86	322	37	9	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	2 teams	—	153	122	15	0	0	1	26	73	4	2	1	123	296	148	444	25	275	48	17	234	45	—	—	—	—	—	—
2024	19	ROK MLE	FCL Blue Jays	—	164	145	31	5	2	2	10	59	8	7	2	214	299	317	616	103	334	36	6	263	64	—	—	—	—	—	—
2025	20	A MLE	Dunedin Blue Jays	—	382	337	69	11	3	4	36	142	6	0	1	205	294	291	585	86	322	37	9	261	63	—	—	—	—	—	—
YTD	21	A+ MLE	TOR	—	195	177	26	3	2	2	12	84	4	0	0	147	218	220	438	73	258	43	6	194	17	-19	+0	+0	+1	+4	-1.5
▸ 2026 season
YTD	21	A+ RAW	TOR	—	195	170	33	4	2	3	19	60	4	0	0	194	290	294	584	100	275	31	10	269	17	—	—	—	—	—	—
ROS	21	A+ MLE	TOR	0%	26	24	4	1	0	0	2	10	0	0	0	167	231	208	439	42	285	38	8	236	46	-2	+0	+0	+0	+1	-0.1
TOT	21	A+ MLE	TOR	—	221	201	30	4	2	2	14	94	4	0	0	149	219	219	438	70	262	43	6	199	21	-21	+0	+0	+1	+5	-1.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	TOR	35%	435	389	72	11	3	7	36	157	7	2	1	185	266	283	549	98	285	36	8	252	56	-23	+0	+0	+2	+9	-1.2
2028	23	MLB MLE	TOR	49%	490	438	84	14	3	9	41	170	8	2	1	192	273	299	572	107	287	35	8	263	64	-21	+0	+0	+2	+11	-0.9
2029	24	MLB MLE	TOR	53%	529	470	93	15	3	11	45	179	9	3	1	198	281	313	593	115	288	34	9	269	68	-20	+0	+0	+2	+11	-0.6
2030	25	MLB MLE	TOR	55%	554	493	98	16	3	12	47	185	9	3	1	199	281	316	597	118	288	33	8	273	71	-19	+0	+0	+2	+12	-0.5
2031	26	MLB MLE	TOR	59%	565	502	99	16	3	12	49	188	9	3	1	197	280	313	593	116	288	33	9	273	71	-19	+0	+0	+2	+12	-0.5
2027	22	MLB CTX	TOR	35%	150	134	25	4	1	2	12	54	3	1	0	187	268	276	545	90	287	36	8	240	56	-8	+0	+0	+1	+3	-0.4
2028	23	MLB CTX	TOR	49%	238	212	42	7	2	4	20	82	4	1	0	198	280	307	586	108	288	34	8	252	64	-10	+0	+0	+1	+5	-0.4
2029	24	MLB CTX	TOR	53%	279	249	50	8	2	6	24	94	4	1	1	201	282	321	603	120	289	34	9	258	68	-10	-0	+0	+1	+6	-0.4
2030	25	MLB CTX	TOR	55%	303	269	54	9	2	6	26	101	5	1	1	201	283	316	599	115	289	33	9	262	71	-11	-0	+0	+1	+7	-0.3
2031	26	MLB CTX	TOR	59%	335	298	60	10	2	7	29	112	5	2	1	201	283	319	602	117	289	33	9	263	71	-11	+0	+0	+1	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1305	1162	231	38	9	25	111	443	21	6	3	199	281	312	592	113	294	34	9	257	63	-51	+0	+0	+5	+28	-1.8
/ 162G	—	A+C		—	650	579	114	19	4	12	55	221	10	3	1	197	278	306	583	109	292	34	8	257	63	-25	+0	+0	+2	+14	-0.9
Career	—	MLE		—	3475	3066	583	96	20	59	313	1232	67	22	9	190	279	292	572	102	292	35	9	262	63	-104	+1	+0	+9	+56	-3.8
/ 162G	—	MLE		—	650	573	109	18	4	11	59	230	13	4	2	190	281	293	574	103	292	35	9	262	63	-26	+0	+0	+2	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Adam 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
#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
#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 3 projected seasons	2.0	1,308	26	6	197	276	311	+5	+2	-0.9	-0.4
/162	664	13	3	+2.4	+0.8	-0.4	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
Kendry Chirinos (OGILVIE)	21	40	30	40	50	172/254/248	76	285	3	2	38%	8%	46	-1.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Reynoso 2016 · A	21	42	36→30	43→50	37	194/247/251	57	311	4	5	37%	6%	41	-3.0	200/256/266	66	346	4	6	40%	6%	49	-2.4	161/222/189	29	312	0	3	45%	6%	17	-1.0
✕Yeison Santana 2022 · A	21	43	37→30	45→55	39	200/262/271	71	317	5	10	36%	7%	53	-2.1	218/286/282	64	313	3	15	29%	8%	63	-1.3	222/302/263	41	308	2	22	26%	9%	62	-0.8
✕Willy Diaz 2016 · A	22	39	38→40	43→40	46	187/275/268	81	281	6	3	33%	9%	58	-1.7	189/257/267	78	337	4	5	41%	7%	50	-2.3	169/224/243	75	318	2	4	44%	5%	29	-1.2
✕J.J. D'Orazio 2023 · A	21	42→46	38→40	41→30	44	198/265/278	81	291	5	3	32%	8%	55	-1.9	210/258/302	92	288	7	3	28%	6%	57	-1.8	196/242/273	77	262	9	1	28%	5%	43	-1.1
✕Luis Rubio 2023 · A	21	40	35→30	46→45	39	185/247/242	57	294	2	7	36%	7%	40	-3.1	190/261/251	61	286	3	8	32%	8%	48	-2.5	130/225/152	22	201	0	8	31%	10%	12	-1.2
✕Randy César 2016 · A	21	40→50	38→40	40	40	194/245/270	76	274	6	2	31%	6%	46	-2.6	213/254/297	84	321	8	3	34%	5%	55	-2.0	234/279/323	89	343	8	2	32%	5%	67	-0.7
✕Braulio Vasquez 2021 · A	22	41	39→40	44→65	38	195/256/276	80	309	6	7	37%	6%	51	-2.2	207/280/301	94	303	7	30	31%	7%	67	-1.1	200/278/292	91	290	6	42	30%	7%	62	-0.6
✕Elio Prado 2023 · A	21	42→38	36→40	46→50	45	196/282/260	64	285	4	6	30%	8%	59	-1.7	195/265/290	95	267	9	12	29%	7%	59	-1.7	182/251/273	91	250	9	14	30%	7%	47	-1.4
✕Johnabiell Laureano 2022 · A	21	42	39→30	45	38	201/259/279	77	311	7	6	36%	6%	53	-2.1	188/257/269	81	349	8	5	44%	8%	51	-2.3	154/237/227	73	303	9	1	48%	9%	32	-0.9
✕Gilbert Gomez 2014 · A	22	43→37	36→40	40→50	43	198/268/263	65	304	3	7	34%	8%	53	-2.1	182/262/260	78	284	4	8	34%	9%	51	-2.3	156/247/238	82	240	4	8	33%	10%	39	-1.5
✕Deivi Estrada 2022 · A	21	45	36→30	46→50	45	208/280/278	70	304	4	8	30%	8%	61	-1.5	185/243/254	69	327	4	8	41%	7%	41	-3.0	144/186/202	58	310	3	4	52%	4%	5	-1.1
✕Deivi Mejia 2011 · A	21	40	39→40	43→30	44	193/264/278	85	266	7	5	29%	8%	55	-1.9	212/259/304	92	276	7	4	25%	4%	59	-1.7	224/268/311	87	267	6	1	18%	3%	64	-0.5
✕Zack Raabe 2022 · A	22	45	36→30	45	44	203/279/265	62	322	4	6	35%	9%	58	-1.7	202/287/268	66	284	3	7	27%	10%	62	-1.4	185/284/234	49	257	0	7	25%	11%	53	-1.2
✕Victor Moscote 2014 · A	20	40	37→30	40→45	37	194/243/263	69	285	4	5	32%	5%	43	-2.8	209/262/265	56	278	2	5	24%	6%	51	-2.3	209/266/252	43	268	2	3	21%	6%	47	-0.8
✕Antoni Flores 2022 · A	21	43	38→30	46→40	43	202/270/282	80	295	5	6	31%	7%	58	-1.7	211/289/292	81	312	6	6	31%	9%	68	-1.0	192/299/227	35	292	4	0	31%	12%	56	-0.4
✕Carlos Quintana 2008 · A	21	43	37→40	40	42	202/268/276	74	291	4	5	30%	7%	56	-1.9	217/272/287	70	305	3	8	28%	6%	59	-1.6	224/258/258	33	326	0	17	30%	3%	44	-0.6
✕Narbe Cruz 2022 · A	21	43	38→45	45	41	202/279/277	74	301	5	7	32%	7%	61	-1.5	207/259/292	85	288	7	6	29%	5%	56	-1.9	206/258/296	90	291	8	6	30%	5%	53	-0.9
✕Edgar Garzon 2008 · A	21	47	37→40	44→40	42	218/281/292	74	314	3	4	30%	7%	64	-1.3	224/276/306	82	300	5	4	26%	5%	65	-1.2	237/275/333	96	290	8	0	21%	3%	68	-0.3
✕Aaron Familia 2019 · A	20	41	38→40	47→40	40	184/272/261	77	326	5	5	41%	9%	55	-1.9	197/268/284	87	357	6	5	42%	8%	58	-1.7	163/242/258	95	312	8	0	46%	9%	39	-0.8
✕Jorge Caballero 2021 · A	21	49	37→40	47→45	42	218/284/291	73	343	3	6	35%	8%	65	-1.2	228/296/318	90	365	7	5	36%	8%	76	-0.4	226/304/293	67	365	5	5	36%	9%	71	-0.4

Career Stats + Projections

Career Comps

Career Path Comps