Matt Thaiss — OGILVIE

Matt ThaissC Worcester Red Sox

Age 31 L/R 5'11" / 215 lbs AAA Svc 7.000 · Ctrl thru 2026 peak 1.0 · 2026

wRC+†vL 3787vR 96

AVG/OBP/SLG.204 / .317 / .319

PA279

HR6

K%26

BB%13

xwOBA.294

Barrel%4.5%

MLB%10%

Scouting · now → future

HIT

35→35

PWR

45→45

SPD

35→35

EYE

70↘60

trajectory · 10 yrs

0.7peak

2026

Barrel%

214.5

xwOBA

380.294

Avg EV

4788.9

Whiff%

390.122

Chase%

850.249

Speed

1025.2

Bat Spd

5872.2

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	$6M	+1.0	$8M	+$2M
Totals		$6M		$8M	+$2M

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	2 teams	297	273	67	15	4	4	17	43	4	3	4	.245	.299	.374	.673	.128	.276	14	6	.292	82	-6	-1	+0	+5	+8	0.7
2017	22	A+	3 teams	684	608	145	26	3	9	58	165	10	12	8	.238	.315	.336	.651	.097	.308	24	8	.289	79	-16	-1	+0	+12	+19	1.5
2018	23	AAA	2 teams	576	540	119	26	7	14	29	133	2	8	4	.220	.263	.372	.635	.152	.264	23	5	.271	66	-22	+0	+0	+10	+16	0.5
2019	24	AAA	3 teams	582	514	109	21	2	20	65	145	1	2	0	.212	.302	.377	.679	.165	.254	25	11	.297	86	-10	+0	-5	+2	+16	0.5
2020	25	MLB	Los Angeles Angels	25	21	3	0	0	1	4	8	0	0	0	.143	.280	.286	.566	.143	.167	32	16	.251	50	-1	+0	-1	-0	+1	-0.3
2021	26	AAA	Salt Lake Bees	449	401	91	19	2	14	38	120	6	2	1	.227	.303	.389	.692	.162	.284	27	8	.307	93	-3	+0	+0	-8	+13	0.1
2022	27	AAA	2 teams	413	367	81	15	1	10	40	103	2	8	0	.221	.301	.349	.650	.128	.275	25	10	.284	75	-11	+2	-3	+7	+12	0.7
2023	28	MLB	Los Angeles Angels	307	262	59	6	0	9	36	83	6	2	0	.225	.332	.351	.683	.126	.289	27	12	.300	88	-4	+0	+2	+5	+9	1.3
2024	29	MLB	Los Angeles Angels	186	157	32	9	0	2	28	58	0	3	0	.204	.324	.299	.624	.096	.306	31	15	.289	79	-4	+1	-2	+3	+5	0.3
2025	30	MLB	2 teams	255	214	44	8	1	2	35	61	4	1	1	.206	.328	.280	.608	.075	.276	24	14	.283	75	-7	-0	+3	+5	+7	0.7
▸ 2026 Season (actual · ROS · total)
2026	31	AAA	Worcester Red Sox	45	39	10	1	0	1	4	7	1	0	1	.256	.341	.359	.700	.103	.281	16	9	.303	90	-1	-0	+0	+1	+1	0.1
ROS	31	MLB	BOS	234	200	42	7	1	5	29	59	3	2	1	.210	.319	.330	.649	.120	.272	25	12	.298	86	-4	+0	+1	+4	+7	0.9
TOT	31	MLB	BOS	279	239	52	8	1	6	33	66	4	2	2	.218	.322	.335	.657	.117	.272	24	12	.299	87	-4	-0	+1	+5	+8	1.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 20%	BOS	244	208	44	8	1	5	31	59	3	1	1	.212	.322	.332	.654	.120	.265	24	13	.296	85	-4	-0	-2	+4	+7	0.5
2028	33	MLB 33%	BOS	209	177	37	6	1	4	27	52	3	0	1	.209	.324	.322	.646	.113	.263	25	13	.291	81	-5	-0	-3	+4	+6	0.2
2029	34	MLB 43%	BOS	165	141	28	5	0	3	21	42	2	0	0	.199	.311	.298	.609	.099	.261	25	13	.285	76	-4	+0	-4	+3	+5	-0.1
▸ Career Totals (MLE all levels + projections)
Career	—			4626	4083	901	171	23	102	458	1131	46	44	21	.221	.306	.349	.655	.128	.277	24	10	.290	80	-103	+0	-13	+57	+131	7.4
/ 162G	—			650	574	126	24	3	14	64	159	6	6	3	.220	.304	.345	.649	.125	.276	24	10	.290	80	-14	+0	-2	+8	+18	1.0

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	Burlington Bees	226	199	55	12	3	4	22	28	2	1	0	.276	.354	.427	.781	.151	.302	12	10	.345	122	+6	+0	—	—	+6	1.3
2016	21	ROK	Orem Owlz	71	65	22	7	1	2	4	4	2	2	4	.338	.394	.569	.964	.231	.339	6	6	.421	180	+6	-1	—	—	+2	0.7
2017	22	AA	Mobile BayBears	221	178	52	14	0	1	37	50	2	4	3	.292	.419	.388	.807	.096	.389	23	17	.366	138	+9	-0	—	—	+6	1.6
2017	22	A+	Inland Empire 66ers	385	336	89	13	4	8	40	59	7	4	3	.265	.355	.399	.754	.134	.299	15	10	.340	118	+8	-0	—	—	+11	1.9
2017	22	INTL	Scottsdale Scorpions	78	64	17	3	1	0	11	24	1	4	2	.266	.382	.344	.725	.078	.405	31	14	.329	110	+1	+0	—	—	+2	0.3
2018	23	AAA	Salt Lake Bees	400	368	102	24	6	10	28	68	1	6	3	.277	.330	.457	.786	.179	.314	17	7	.344	122	+10	+0	—	—	+11	2.2
2018	23	AA	Mobile BayBears	176	157	45	10	2	6	16	35	1	2	1	.287	.356	.490	.847	.204	.331	20	9	.369	140	+8	+0	—	—	+5	1.3
2019	24	MLB	Los Angeles Angels	164	147	31	7	0	8	17	52	0	0	0	.211	.293	.422	.714	.211	.264	32	10	.317	101	+0	+0	-5	+2	+5	0.2
2019	24	AAA	Salt Lake Bees	372	310	85	17	2	14	59	64	1	1	0	.274	.392	.477	.869	.203	.303	17	16	.385	153	+22	+0	—	—	+11	3.4
2019	24	INTL	Tigres del Licey	46	38	10	2	0	1	8	10	0	1	0	.263	.391	.395	.786	.132	.333	22	17	.360	134	+2	+0	—	—	+1	0.3
2020	25	MLB	Los Angeles Angels	25	21	3	0	0	1	4	8	0	0	0	.143	.280	.286	.566	.143	.167	32	16	.267	63	-1	+0	-1	-0	+1	-0.2
2021	26	AAA	Salt Lake Bees	449	379	106	23	4	17	60	92	6	2	1	.280	.387	.496	.883	.216	.325	20	13	.387	154	+28	+0	—	—	+13	4.1
2022	27	MLB	Los Angeles Angels	81	69	15	1	0	2	11	24	0	1	0	.217	.325	.319	.644	.101	.295	30	14	.296	85	-1	+0	-3	+7	+2	0.6
2022	27	AAA	Salt Lake Bees	332	284	76	16	3	10	43	61	2	7	0	.268	.368	.451	.818	.183	.306	18	13	.362	135	+13	+1	—	—	+9	2.5
2023	28	MLB	Los Angeles Angels	307	262	56	6	0	9	36	83	6	2	0	.214	.322	.340	.662	.126	.272	27	12	.303	90	-3	+0	+2	+5	+9	1.4
2024	29	MLB	Los Angeles Angels	186	157	32	9	0	2	28	58	0	3	0	.204	.324	.299	.624	.096	.306	31	15	.292	81	-4	+1	-2	+3	+5	0.3
2025	30	MLB	Tampa Bay Rays	190	156	34	6	1	1	29	46	3	1	1	.218	.351	.288	.640	.071	.300	24	15	.302	89	-2	-0	+3	+5	+5	1.0
2025	30	AAA	Durham Bulls	65	55	11	3	0	1	9	13	1	0	0	.200	.323	.309	.632	.109	.244	20	14	.297	85	-1	+0	—	—	+2	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			953	812	171	29	1	23	125	271	9	7	1	.211	.322	.334	.656	.123	.282	28	13	.301	89	-12	+1	-6	+22	+27	3.3

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
Matt Thaiss (OGILVIE)	31	35	45	35	60	.204/.317/.319	.114	.270	6	3	26%	13%	84	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yoshi Tsutsugo 2023 · MLB	31	42→41	51→50	40→30	52	.220/.305/.375	.155	.275	19	2	27%	11%	92	+1.2	.224/.315/.372	.148	.311	17	6	31%	11%	95	+1.4	.208/.320/.357	.149	.306	18	5	34%	13%	91	+0.5
✕Henry Blanco 2003 · MLB	31	44	47→50	39→40	53	.218/.292/.358	.140	.254	13	4	20%	9%	82	+0.5	.212/.271/.345	.133	.236	14	3	17%	7%	70	-0.3	.256/.311/.393	.137	.293	14	0	18%	7%	93	+0.4
✕Eric Munson 2009 · MLB	31	42→43	47→60	42→40	51	.214/.288/.351	.138	.247	15	4	20%	8%	79	+0.3	.215/.293/.357	.142	.260	16	4	23%	9%	82	+0.5	.204/.289/.346	.143	.242	17	0	23%	9%	77	+0.1
✕Scott Moore 2015 · MLB	31	42→51	48→55	39→50	43	.213/.281/.353	.140	.268	15	3	26%	6%	77	+0.1	.196/.262/.313	.117	.270	12	7	31%	6%	59	-1.1	.124/.197/.196	.072	.198	5	8	38%	7%	1	-1.1
✕Curt Casali 2019 · MLB	30	47	45→50	39→30	47	.233/.299/.350	.117	.289	13	3	24%	8%	83	+0.6	.239/.318/.393	.154	.299	18	5	25%	9%	102	+1.9	.216/.315/.356	.139	.285	17	0	28%	11%	84	+0.3
✕Andrew Knapp 2023 · MLB	31	39→49	47→45	44→40	43	.199/.269/.331	.132	.271	15	5	32%	8%	66	-0.6	.211/.279/.335	.124	.296	13	5	31%	8%	71	-0.3	.212/.285/.326	.115	.299	12	3	31%	8%	69	-0.3
✕Paul Bako 2003 · MLB	31	48	42→45	42→40	53	.230/.304/.340	.110	.281	9	4	21%	10%	82	+0.5	.228/.305/.333	.105	.285	7	4	21%	10%	81	+0.4	.221/.295/.309	.088	.296	9	0	27%	9%	63	-0.3
✕Anthony Recker 2014 · MLB	30	43→48	51→50	43→45	47	.220/.295/.378	.157	.286	19	7	29%	9%	89	+0.9	.211/.280/.369	.158	.286	20	6	32%	8%	80	+0.4	.200/.280/.351	.151	.266	19	3	31%	9%	71	-0.1
✕Tony Cruz 2017 · MLB	30	45→37	42→45	41→40	46	.219/.274/.320	.101	.276	9	5	24%	7%	63	-0.8	.218/.270/.342	.124	.289	14	5	29%	6%	68	-0.5	.219/.269/.342	.123	.294	15	0	30%	4%	67	-0.2
✕Dusty Brown 2012 · MLB	30	42	45	43→30	44	.212/.270/.334	.122	.272	12	4	26%	7%	66	-0.6	.213/.286/.364	.151	.271	16	6	26%	9%	82	+0.5	.184/.291/.331	.147	.224	15	0	25%	13%	76	+0.0
✕John Hester 2013 · MLB	29	43	45→55	37→50	43	.214/.274/.334	.120	.286	13	4	29%	7%	68	-0.5	.203/.258/.316	.113	.292	12	6	33%	7%	56	-1.3	.189/.245/.293	.104	.278	10	5	35%	6%	43	-1.0
✕Nick Hundley 2014 · MLB	30	45	48→55	39→40	45	.226/.286/.368	.141	.279	15	3	25%	7%	82	+0.5	.246/.294/.387	.141	.301	16	5	23%	6%	90	+1.0	.260/.304/.426	.166	.311	18	3	22%	6%	98	+0.9
✕Bryan Holaday 2018 · MLB	30	45	47→45	37→40	42	.226/.271/.359	.133	.262	14	3	20%	4%	73	-0.1	.227/.286/.345	.118	.263	12	4	18%	6%	76	+0.1	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Brett Nicholas 2018 · MLB	30	48→50	46→50	43→40	40	.238/.278/.366	.128	.294	14	4	24%	5%	78	+0.2	.229/.277/.362	.133	.287	14	5	25%	5%	76	+0.1	.217/.270/.348	.131	.269	15	1	25%	6%	66	-0.5
✕Gerald Laird 2011 · MLB	31	47	42→50	45→50	50	.226/.292/.333	.107	.259	9	6	17%	7%	76	+0.0	.237/.304/.347	.110	.273	9	6	16%	8%	84	+0.6	.263/.333/.361	.098	.304	5	3	14%	8%	94	+0.3
✕Deibinson Romero 2017 · AAA	30	44→46	46→50	41→40	49	.220/.288/.355	.135	.259	13	4	21%	8%	79	+0.3	.234/.294/.353	.119	.267	14	6	18%	7%	82	+0.5	.246/.308/.339	.093	.276	12	2	15%	7%	82	+0.3
✕Beau Taylor 2020 · MLB	30	46	44→45	47→30	49	.219/.304/.337	.119	.310	11	4	31%	10%	82	+0.5	.207/.293/.319	.112	.300	11	4	32%	10%	73	-0.1	.190/.282/.277	.086	.276	10	0	32%	9%	56	-0.5
✕Koyie Hill 2010 · MLB	31	46→43	45	44→40	46	.229/.288/.354	.126	.290	12	4	25%	7%	79	+0.3	.212/.267/.309	.097	.284	8	5	27%	7%	58	-1.2	.186/.233/.257	.071	.249	6	3	27%	6%	23	-1.3
✕Steve Holm 2011 · MLB	31	46	43→50	40	47	.222/.286/.335	.113	.269	9	4	21%	7%	73	-0.1	.199/.262/.296	.097	.257	8	6	25%	7%	53	-1.5	.150/.213/.195	.046	.208	2	0	27%	6%	4	-1.6
✕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

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)