Cavan Biggio — OGILVIE

Cavan Biggio1B Sugar Land Space Cowboys

Age 31 L/R 6'0" / 200 lbs AAA H +4%HR -3% Svc 7.000 · Ctrl thru 2026

wRC+†vL 2753vR 47

AVG/OBP/SLG.202 / .309 / .319

PA362

HR8

K%29

BB%11

MLB%10%

Scouting · now → future

HIT

35→35

PWR

35→35

SPD

55→55

EYE

59↗60

trajectory · 10 yrs

-0.5peak

2026

Contract

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

Status FA

MLB Debut 2019

Service 7.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	—	—	—
Totals		$1M		$-3M	-$4M

Career Projections (MLE)

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	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
2016	21	A	Lansing Lugnuts	42	37	7	1	0	0	3	9	1	2	0	.189	.268	.216	.485	.027	.241	21	7	.219	26	-4	+0	+0	+0	+1	-0.2
2017	22	A+	Dunedin Blue Jays	556	488	88	15	3	8	49	198	6	11	7	.180	.263	.273	.536	.092	.277	36	9	.240	42	-37	-1	+0	+2	+16	-2.0
2018	23	AA	2 teams	642	544	120	22	5	29	80	208	7	22	10	.221	.328	.439	.767	.219	.287	32	12	.330	111	+8	+0	+0	+2	+18	2.9
2019	24	MLB	2 teams	604	502	122	24	3	21	96	158	3	19	1	.243	.368	.428	.796	.185	.310	26	16	.353	128	+19	+3	+0	+2	+17	4.3
2020	25	MLB	Toronto Blue Jays	265	221	55	17	0	8	41	61	3	6	0	.249	.374	.434	.808	.186	.309	23	15	.358	132	+10	+1	-2	+1	+8	1.8
2021	26	MLB	2 teams	384	332	67	11	0	9	44	111	2	3	1	.202	.299	.316	.615	.114	.267	29	11	.279	72	-12	+0	-6	+1	+11	-0.6
2022	27	MLB	2 teams	342	290	61	22	1	5	44	92	6	4	0	.210	.326	.345	.671	.134	.289	27	13	.310	95	-2	+1	+4	+1	+10	1.4
2023	28	MLB	Toronto Blue Jays	338	289	71	12	0	10	40	88	7	5	2	.246	.351	.391	.742	.145	.316	26	12	.330	110	+4	+0	-2	+1	+10	1.3
2024	29	MLB	2 teams	292	243	45	6	0	7	36	89	10	4	1	.185	.315	.296	.611	.111	.257	30	12	.285	76	-8	+0	-2	+1	+8	-0.0
2025	30	AAA	2 teams	379	329	63	12	1	5	37	118	9	5	3	.191	.291	.280	.570	.088	.279	31	10	.260	58	-18	-0	+0	-7	+11	-1.5
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	Sugar Land Space Cowboys	68	60	6	1	0	1	7	27	0	0	0	.100	.194	.167	.361	.067	.152	40	10	.161	-19	-9	+0	+0	+0	+2	-0.7
ROS	31	MLB	HOU	294	254	48	8	1	6	32	90	6	4	1	.189	.295	.299	.594	.110	.260	31	11	.276	70	-10	+0	-1	+1	+8	-0.1
TOT	31	MLB	HOU	362	314	54	9	1	7	39	117	6	4	1	.172	.276	.274	.550	.102	.245	32	11	.255	53	-19	+0	-1	+1	+10	-0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	HOU	343	293	56	9	1	7	40	88	7	3	0	.191	.303	.300	.603	.109	.239	26	12	.277	71	-11	+1	-4	+1	+10	-0.4
2028	33	MLB 33%	HOU	313	268	50	8	1	6	36	82	6	2	0	.187	.297	.291	.588	.104	.237	26	12	.272	66	-12	+0	-5	+1	+9	-0.7
2029	34	MLB 43%	HOU	270	232	41	6	0	5	31	73	5	1	0	.177	.287	.267	.555	.091	.235	27	11	.265	61	-12	+0	-5	+1	+8	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			5064	4322	894	173	16	126	609	1465	78	91	26	.207	.316	.342	.657	.135	.277	29	12	.297	85	-85	+8	-22	+10	+143	5.5
/ 162G	—			650	555	114	22	2	16	78	188	10	12	3	.205	.314	.339	.653	.133	.275	29	12	.297	85	-11	+1	-3	+1	+18	0.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2016	21	A	Lansing Lugnuts	42	36	8	1	0	0	4	7	1	2	0	.222	.317	.250	.567	.028	.267	17	10	.265	61	-2	+0	—	—	+1	-0.0
2017	22	A+	Dunedin Blue Jays	556	463	108	17	5	11	74	140	6	11	7	.233	.346	.363	.709	.130	.304	25	13	.318	101	+1	-1	—	—	+16	1.6
2018	23	AA	New Hampshire Fisher Cats	563	449	113	23	5	26	100	148	5	20	8	.252	.394	.499	.892	.247	.307	26	18	.388	155	+35	+1	—	—	+16	5.3
2018	23	INTL	Surprise Saguaros	79	60	17	4	0	2	15	15	2	2	2	.283	.442	.450	.892	.167	.333	19	19	.395	160	+5	-0	—	—	+2	0.7
2019	24	MLB	Toronto Blue Jays	430	354	83	17	2	16	71	123	2	14	0	.234	.364	.429	.794	.195	.309	29	17	.355	130	+15	+3	+0	+2	+12	3.2
2019	24	AAA	Buffalo Bisons	174	138	43	8	1	6	34	28	1	5	1	.312	.451	.514	.965	.203	.352	16	20	.426	184	+17	+1	—	—	+5	2.3
2020	25	MLB	Toronto Blue Jays	265	220	55	16	0	8	41	61	3	6	0	.250	.374	.432	.805	.182	.311	23	15	.362	136	+11	+1	-2	+1	+8	1.9
2021	26	MLB	Toronto Blue Jays	294	250	56	10	1	7	37	78	1	3	1	.224	.325	.356	.681	.132	.290	27	13	.306	92	-3	+0	-6	+1	+8	0.2
2021	26	AAA	Buffalo Bisons	90	77	14	2	0	3	11	26	1	0	0	.182	.292	.325	.617	.143	.224	29	12	.282	74	-3	+0	—	—	+3	-0.0
2022	27	MLB	Toronto Blue Jays	303	257	52	18	1	6	38	85	6	2	0	.202	.319	.350	.669	.148	.275	28	13	.306	92	-3	+0	+4	+1	+9	1.2
2022	27	AAA	Buffalo Bisons	39	29	8	3	0	0	10	6	0	2	0	.276	.462	.379	.841	.103	.348	15	26	.394	159	+3	+0	—	—	+1	0.4
2023	28	MLB	Toronto Blue Jays	338	289	68	12	0	9	40	88	7	5	2	.235	.342	.370	.713	.135	.304	26	12	.325	107	+3	+0	-2	+1	+10	1.2
2024	29	MLB	Atlanta Braves	224	188	37	5	0	5	24	72	8	2	0	.197	.311	.303	.614	.106	.288	32	11	.285	76	-6	+0	-2	+1	+6	-0.0
2024	29	AAA	Gwinnett Stripers	68	48	8	1	0	2	17	14	2	2	1	.167	.403	.312	.715	.146	.182	21	25	.343	120	+2	+0	—	—	+2	0.4
2025	30	MLB	Kansas City Royals	83	69	12	2	0	1	11	21	1	1	0	.174	.296	.246	.543	.072	.234	25	13	.255	54	-4	+0	+0	-7	+2	-0.9
2025	30	AAA	Salt Lake Bees	296	250	67	14	2	5	36	74	8	4	3	.268	.378	.400	.778	.132	.358	25	12	.352	128	+9	-0	—	—	+8	1.8
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1937	1627	363	80	4	52	262	528	28	33	3	.223	.340	.373	.713	.150	.295	27	14	.323	106	+12	+5	-7	+1	+55	6.8

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
Cavan Biggio (OGILVIE)	31	35	35	55	60	.202/.309/.319	.118	.276	8	6	29%	11%	82	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Webster Rivas 2022 · MLB	31	44	44→40	47→40	47	.218/.282/.329	.111	.277	12	4	25%	8%	70	-0.3	.220/.299/.314	.094	.299	7	5	26%	10%	73	-0.1	.212/.308/.279	.067	.299	2	2	26%	12%	66	-0.3
✕Rico Brogna 2001 · MLB	31	48	44→40	49→45	45	.234/.287/.364	.130	.282	10	7	21%	6%	81	+0.4	.240/.294/.357	.117	.293	11	9	21%	7%	82	+0.5	.245/.296/.332	.087	.302	8	8	21%	6%	72	-0.1
✕Matt Skole 2019 · AAA	30	37→39	48→50	47→40	44	.197/.260/.338	.141	.252	17	4	29%	7%	64	-0.8	.206/.282/.350	.144	.283	17	4	31%	9%	76	+0.1	.193/.282/.343	.150	.260	20	0	32%	11%	75	-0.0
✕Jason Conti 2006 · MLB	31	43→41	45	44→50	40	.214/.262/.338	.124	.285	13	6	29%	6%	64	-0.8	.219/.267/.331	.112	.289	11	8	27%	5%	64	-0.8	.212/.258/.286	.073	.278	7	5	25%	5%	47	-0.6
✕David Matranga 2008 · AAA	31	40	46→45	50	43	.204/.272/.327	.122	.263	14	12	28%	7%	66	-0.6	.217/.291/.342	.125	.292	13	9	29%	8%	78	+0.2	.211/.297/.329	.119	.288	12	5	29%	9%	75	+0.0
✕Francisco Rivera 2019 · AAA	30	45	40	48→40	47	.218/.268/.308	.090	.260	7	8	19%	6%	58	-1.2	.245/.296/.360	.115	.288	14	6	19%	7%	84	+0.6	.255/.307/.354	.099	.295	14	2	18%	7%	85	+0.4
✕Daniel Nunez 2013 · AAA	31	50→51	41→30	53→50	47	.232/.317/.335	.103	.315	7	17	26%	8%	87	+0.8	.243/.314/.326	.083	.306	6	13	21%	7%	83	+0.6	.243/.310/.306	.063	.302	4	10	19%	6%	73	-0.1
✕Sherman Johnson 2021 · AAA	31	42→50	42→45	46→50	45	.207/.273/.316	.109	.286	10	9	30%	8%	63	-0.9	.202/.289/.315	.113	.288	10	9	31%	9%	70	-0.3	.164/.274/.265	.101	.239	8	5	31%	11%	50	-0.8
✕Justin Leone 2008 · AAA	31	42→41	48→50	52→55	48	.212/.290/.355	.142	.274	16	14	28%	9%	81	+0.4	.199/.276/.341	.142	.265	16	16	30%	9%	71	-0.3	.169/.251/.300	.130	.226	15	14	31%	10%	50	-1.0
✕John Andreoli 2021 · MLB	31	45→55	43→45	54→60	48	.215/.299/.331	.117	.315	10	16	32%	10%	78	+0.2	.182/.279/.319	.137	.314	16	17	42%	12%	68	-0.5	.142/.255/.275	.133	.243	17	21	45%	13%	45	-1.1
✕Adam Shabala 2007 · MLB	29	46→44	44→45	49→50	47	.228/.289/.348	.120	.287	11	12	24%	8%	78	+0.2	.212/.281/.307	.095	.289	8	13	27%	9%	64	-0.8	.186/.265/.251	.065	.261	6	13	28%	9%	40	-1.6
✕Victor Mendez 2011 · AAA	31	46	44→45	45→50	44	.227/.285/.344	.117	.291	12	10	26%	7%	75	-0.0	.249/.324/.396	.147	.320	16	14	25%	10%	105	+2.1	.279/.376/.447	.168	.346	22	20	24%	13%	136	+0.7
✕Brad Nelson 2014 · AAA	31	43→48	50	45→50	46	.223/.282/.376	.153	.270	19	4	25%	7%	83	+0.6	.214/.267/.337	.123	.259	14	5	23%	6%	66	-0.6	.189/.239/.274	.085	.223	9	0	20%	6%	37	-1.1
✕Tyler LaTorre 2014 · AAA	31	43	43→40	48→40	44	.212/.273/.320	.107	.281	10	6	28%	7%	63	-0.8	.221/.279/.307	.086	.313	7	7	29%	7%	63	-0.9	.241/.292/.296	.055	.343	3	4	29%	7%	62	-0.3
✕Donnie Sadler 2006 · MLB	31	45	44→45	48→55	49	.220/.291/.341	.122	.275	11	12	24%	8%	77	+0.1	.225/.293/.339	.114	.292	8	13	24%	9%	77	+0.1	.214/.286/.319	.105	.283	4	16	24%	9%	65	-0.2
✕James Adduci 2017 · MLB	32	45→55	44→45	51→60	46	.222/.281/.339	.118	.284	12	14	26%	7%	72	-0.2	.243/.287/.367	.124	.326	11	13	27%	6%	82	+0.5	.245/.283/.365	.120	.325	11	12	27%	5%	77	+0.1
✕Deven Marrero 2022 · MLB	31	40→48	46→45	49→50	41	.204/.260/.327	.122	.285	15	9	33%	7%	60	-1.0	.218/.277/.332	.114	.295	13	12	29%	7%	69	-0.4	.206/.271/.286	.080	.268	9	15	25%	8%	49	-0.5
✕Jim Rushford 2005 · MLB	31	45→55	47→40	49→40	52	.225/.295/.360	.135	.246	15	9	16%	8%	84	+0.6	.255/.307/.360	.105	.274	9	6	11%	5%	88	+0.9	.249/.299/.332	.083	.268	6	4	10%	5%	76	+0.1
✕Darren Bragg 2001 · MLB	31	47	46→45	51→50	51	.232/.306/.368	.136	.289	14	13	24%	10%	90	+1.0	.244/.315/.365	.121	.321	9	13	25%	9%	93	+1.3	.239/.311/.346	.108	.305	8	9	23%	9%	83	+0.2
✕Roger Bernadina 2015 · MLB	31	45→55	43→45	54→60	49	.218/.302/.330	.112	.288	10	17	26%	9%	79	+0.3	.218/.292/.340	.122	.315	12	19	32%	8%	77	+0.1	.228/.296/.347	.119	.323	12	20	31%	8%	78	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)