Agustin Ruiz — OGILVIE

Agustin RuizRF Tucson Baseball Team

Age 26 L/R 6'2" / 215 lbs INTL BB +3% Svc 0.0 · Ctrl thru 2036

wRC+†64

AVG/OBP/SLG.189 / .263 / .327

PA243

HR7

K%34

BB%7

MLB%0%

Scouting · now → future

HIT

37→37

PWR

37→37

SPD

44→44

EYE

45→45

trajectory · 10 yrs

-0.5peak

2027

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$1.0M	—	—	—
2034	Ext / FA-deal	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$-3M		$-25M	-$22M

Underwater contract
Projected production over the remaining contract is worth -$22M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2017	17	ROK	AZL Padres	62	56	7	1	1	0	4	32	1	1	1	.125	.197	.179	.375	.054	.280	52	6	.174	-9	-8	-0	+0	-1	+2	-0.7
2018	18	ROK	2 teams	241	219	41	9	6	1	18	101	3	2	3	.187	.258	.297	.555	.110	.339	42	7	.245	46	-15	-1	+0	-3	+7	-1.2
2019	19	A	Fort Wayne TinCaps	510	458	82	19	1	3	36	167	6	2	1	.179	.248	.245	.493	.066	.266	33	7	.220	27	-42	+0	+0	-5	+14	-3.4
2021	21	A+	3 teams	548	500	86	14	0	19	34	211	8	3	3	.172	.236	.314	.550	.142	.245	39	6	.241	43	-35	-1	+0	-6	+16	-2.7
2022	22	A+	2 teams	338	296	55	12	1	9	26	99	12	3	0	.186	.278	.324	.603	.139	.240	29	8	.266	62	-15	+1	+0	-4	+10	-0.8
2023	23	AA	2 teams	601	538	88	15	1	23	37	243	15	4	3	.164	.237	.323	.561	.160	.233	40	6	.249	49	-35	-0	+0	-6	+17	-2.5
2024	24	A+	2 teams	507	449	75	19	2	7	34	146	13	4	5	.167	.246	.265	.511	.098	.226	29	7	.230	34	-38	-1	+0	-5	+14	-3.1
2025	25	INTL	Tucson Baseball Team	237	197	55	9	2	4	27	33	6	4	5	.279	.383	.406	.789	.127	.311	14	11	—	—	—	—	+0	-3	—	—
▸ 2026 Season
2026	26	MLB	MIN	243	218	42	8	1	7	17	82	6	2	1	.193	.270	.335	.605	.142	.266	34	7	.268	64	-10	+0	+0	-3	+7	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 10%	MIN	258	232	45	9	1	7	18	85	6	2	1	.194	.270	.332	.601	.138	.269	33	7	.274	68	-9	+0	+0	-3	+7	-0.5
2028	28	MLB 20%	MIN	310	278	55	11	1	9	23	100	6	2	1	.198	.274	.342	.615	.144	.271	32	7	.277	70	-11	+0	-1	-3	+9	-0.6
2029	29	MLB 33%	MIN	337	302	59	12	1	9	25	108	7	1	1	.195	.272	.331	.604	.136	.271	32	7	.277	70	-11	-0	-1	-4	+10	-0.7
2030	30	MLB 47%	MIN	354	317	63	13	1	10	27	114	7	0	1	.199	.276	.341	.617	.142	.270	32	8	.275	69	-13	-0	-2	-4	+10	-0.9
2031	31	MLB 61%	MIN	352	316	61	12	1	9	26	115	7	0	1	.193	.269	.323	.592	.130	.268	33	7	.271	66	-14	-0	-3	-4	+10	-1.1
2032	32	MLB 78%	MIN	341	306	59	12	1	9	25	113	7	0	0	.193	.269	.327	.596	.134	.267	33	7	.267	62	-15	+0	-4	-4	+10	-1.2
2033	33	MLB	MIN	316	284	54	11	1	8	23	107	6	0	0	.190	.265	.320	.586	.130	.265	34	7	.261	58	-15	+0	-4	-3	+9	-1.4
2034	34	MLB	MIN	276	249	45	9	1	6	20	96	5	0	0	.181	.255	.297	.553	.116	.263	35	7	.255	53	-15	+0	-5	-3	+8	-1.5
▸ Career Totals (MLE all levels + projections)
Career	—			5831	5215	972	195	23	140	420	1952	121	30	27	.186	.263	.313	.576	.127	.262	33	7	.244	45	-363	-5	-20	-62	+165	-29.1
/ 162G	—			650	581	109	22	3	16	47	218	13	3	3	.188	.264	.318	.582	.131	.263	34	7	.244	45	-41	-1	-2	-7	+18	-3.2

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
2017	17	ROK	AZL Padres	62	53	11	2	1	0	7	22	1	1	1	.208	.311	.283	.594	.075	.344	35	11	.275	69	-2	-0	—	—	+2	-0.1
2018	18	A	Fort Wayne TinCaps	17	15	4	3	0	0	2	5	0	0	0	.267	.353	.467	.820	.200	.400	29	12	.362	135	+1	+0	—	—	+0	0.1
2018	18	ROK	AZL Padres 1	224	193	56	11	10	1	27	66	3	2	3	.290	.386	.466	.852	.176	.433	29	12	.376	146	+12	-1	—	—	+6	1.7
2019	19	A	Fort Wayne TinCaps	510	443	106	26	2	4	51	127	6	2	1	.239	.326	.334	.660	.095	.318	25	10	.298	86	-8	+0	—	—	+14	0.7
2021	21	AA	San Antonio Missions	145	134	26	3	0	6	7	42	3	0	0	.194	.250	.351	.601	.157	.230	29	5	.268	63	-6	+0	—	—	+4	-0.2
2021	21	A+	Fort Wayne TinCaps	324	281	71	15	0	15	36	93	4	3	3	.253	.346	.466	.812	.214	.318	29	11	.357	131	+11	-1	—	—	+9	2.0
2021	21	INTL	Charros de Jalisco	79	69	17	2	1	2	7	13	1	0	0	.246	.325	.391	.716	.145	.278	16	9	.314	99	-0	+0	—	—	+2	0.2
2022	22	AA	San Antonio Missions	91	76	18	3	1	2	12	23	2	2	0	.237	.356	.382	.737	.145	.308	25	13	.333	113	+1	+0	—	—	+3	0.4
2022	22	A+	Fort Wayne TinCaps	247	210	47	12	1	8	24	54	10	1	0	.224	.332	.405	.737	.181	.258	22	10	.329	110	+3	+0	—	—	+7	1.0
2023	23	AA	Binghamton Rumble Ponies	423	364	74	14	2	18	41	134	12	0	2	.203	.305	.401	.706	.198	.257	32	10	.313	98	-1	-1	—	—	+12	1.0
2023	23	INTL	Algodoneros de Guasave	178	157	37	9	1	5	13	50	3	4	1	.236	.306	.401	.708	.166	.311	28	7	.308	94	-1	+0	—	—	+5	0.4
2024	24	A+	Cedar Rapids Kernels	307	264	58	17	2	6	30	68	10	2	4	.220	.322	.367	.690	.148	.269	22	10	.312	97	-1	-1	—	—	+9	0.6
2024	24	INTL	Mayos de Navojoa	200	158	30	4	0	3	31	50	3	2	1	.190	.333	.272	.605	.082	.252	25	16	.280	73	-6	+0	—	—	+6	-0.1
2025	25	INTL	Tucson Baseball Team	237	197	55	9	2	4	27	33	6	4	5	.279	.383	.406	.789	.127	.311	14	11	.348	125	+7	-1	—	—	+7	1.2

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
Agustin Ruiz (OGILVIE)	26	37	37	44	45	.189/.263/.327	.138	.266	7	2	34%	7%	64	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Connor Panas 2019 · AA	26	41→42	47→45	45→40	41	.208/.272/.337	.129	.274	15	5	29%	6%	69	-0.4	.214/.278/.342	.128	.278	13	8	27%	6%	72	-0.2	.177/.265/.331	.155	.216	16	6	26%	8%	60	-0.2
✕Shane Matheny 2022 · AA	26	38→42	43→45	47→50	39	.187/.250/.294	.107	.292	11	6	38%	7%	48	-1.9	.201/.285/.328	.127	.324	14	9	38%	10%	72	-0.2	.191/.281/.316	.125	.300	14	9	38%	10%	64	-0.5
✕Gabe Snyder 2021 · A	26	41→37	47→50	45→40	42	.208/.270/.338	.131	.276	15	5	30%	7%	68	-0.5	.211/.284/.355	.144	.299	15	8	32%	8%	79	+0.3	.173/.267/.342	.169	.235	18	7	34%	10%	65	-0.2
✕Shayne Fontana 2023 · AAA	26	41	44→45	45→55	45	.202/.287/.319	.117	.301	13	8	35%	9%	71	-0.3	.224/.301/.331	.107	.295	10	18	26%	8%	79	+0.3	.230/.306/.325	.095	.290	9	25	22%	7%	76	+0.1
✕Ricky Oropesa 2016 · AA	26	43→44	47→45	44→30	38	.219/.264/.346	.127	.299	15	2	32%	5%	66	-0.6	.214/.267/.344	.130	.298	16	4	32%	6%	68	-0.5	.184/.245/.297	.113	.254	16	0	33%	6%	43	-1.1
✕Eric Jagielo 2018 · AAA	26	38→35	42→45	43→30	40	.191/.259/.288	.097	.275	10	2	33%	7%	50	-1.7	.184/.241/.291	.107	.277	11	4	36%	6%	43	-2.2	.158/.206/.269	.111	.240	13	1	39%	5%	20	-2.8
✕Stefan Welch 2014 · AA	25	42→43	45	45→40	44	.212/.279/.331	.119	.283	13	5	29%	7%	70	-0.3	.205/.280/.321	.116	.287	11	5	31%	8%	68	-0.5	.180/.265/.291	.112	.258	11	1	32%	8%	54	-1.0
✕Chase Pinder 2022 · AA	26	38	42→45	43→45	44	.190/.273/.285	.095	.272	10	5	32%	8%	56	-1.3	.226/.321/.370	.144	.293	15	10	26%	11%	98	+1.6	.221/.324/.370	.149	.286	16	11	27%	12%	97	+0.8
✕Justin Toerner 2023 · AAA	26	39	43→45	48→50	44	.190/.284/.298	.108	.293	11	10	36%	9%	65	-0.7	.190/.283/.309	.119	.284	13	11	35%	10%	66	-0.6	.126/.240/.244	.118	.172	15	9	35%	12%	32	-1.0
✕Luke Tendler 2018 · AA	26	41→44	46→50	39→40	41	.208/.262/.338	.130	.270	14	3	28%	6%	64	-0.8	.210/.261/.331	.121	.282	14	4	30%	6%	62	-0.9	.203/.253/.318	.115	.270	15	3	30%	6%	52	-1.1
✕Viosergy Rosa 2016 · AA	26	42→49	45	46→30	47	.210/.283/.333	.122	.276	14	2	28%	8%	72	-0.2	.204/.269/.324	.120	.295	13	2	33%	8%	63	-0.8	.196/.259/.321	.124	.286	14	0	35%	8%	56	-0.9
✕Matt Skole 2015 · AA	26	41→39	48→50	49→40	47	.207/.287/.349	.142	.287	17	6	32%	10%	78	+0.2	.202/.270/.346	.144	.260	18	3	29%	8%	70	-0.3	.192/.259/.346	.154	.234	21	2	28%	8%	63	-0.6
✕Dillon Paulson 2023 · AA	26	45→36	46→50	45→30	49	.226/.295/.355	.129	.282	14	6	24%	8%	82	+0.5	.222/.287/.335	.113	.289	10	5	25%	8%	73	-0.1	.219/.282/.320	.101	.286	8	0	25%	8%	64	-0.3
✕Chantz Mack 2017 · AA	26	45→47	44→45	45	47	.222/.290/.336	.113	.293	11	5	27%	8%	75	-0.0	.216/.293/.320	.104	.299	10	6	28%	10%	72	-0.2	.153/.267/.207	.054	.212	5	0	27%	14%	32	-0.5
✕Devin Foyle 2022 · AA	25	40→37	46→45	48→45	44	.205/.275/.336	.132	.274	14	11	30%	8%	69	-0.4	.212/.284/.329	.117	.274	12	7	26%	8%	71	-0.3	.192/.282/.265	.072	.245	6	0	22%	10%	51	-0.6
✕Davis Wendzel 2023 · AAA	26	35→28	49→50	43→40	41	.191/.255/.331	.140	.253	18	5	32%	7%	60	-1.0	.195/.273/.341	.146	.245	19	5	28%	8%	71	-0.3	.191/.275/.335	.144	.229	19	4	26%	8%	68	-0.4
✕Brandon Wagner 2021 · AA	25	38→46	44→45	47→30	41	.186/.271/.295	.109	.301	12	4	39%	8%	58	-1.2	.190/.271/.284	.094	.349	10	7	44%	9%	55	-1.4	.139/.241/.201	.062	.279	9	3	48%	11%	20	-1.2
✕John Urick 2008 · A	26	41→45	45	41→30	42	.207/.271/.331	.125	.281	12	2	30%	7%	66	-0.6	.215/.280/.336	.121	.311	11	3	32%	7%	71	-0.3	.213/.281/.335	.121	.306	10	0	32%	7%	70	-0.3
✕Logan Hill 2019 · AA	26	39→40	50	41→45	39	.205/.267/.356	.151	.290	19	5	35%	6%	72	-0.2	.209/.270/.357	.148	.300	18	4	35%	7%	73	-0.1	.198/.259/.343	.145	.279	17	1	34%	6%	62	-0.8
✕Mark Contreras 2021 · AA	26	36→38	44→50	47→55	38	.183/.247/.298	.115	.269	11	13	35%	6%	48	-1.9	.201/.262/.346	.145	.292	17	19	36%	6%	66	-0.6	.199/.260/.339	.140	.286	17	24	35%	6%	61	-0.7

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)