Martin Tamara — OGILVIE

Martin TamaraC FCL Tigers

Age 22 R/R 6'0" / 185 lbs ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION86 act + 9 ros · stats below = ROS only

showingROS

wRC+†47

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP261

ISO83

MLB%0%

Value2026 · WAR

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

Tools · ContractCON 32 / POW 37

Toolsscout grade

CONTACT32

scouting grade only

POWER37

scouting grade only

EYE52

scouting grade only

SPEED52

scouting grade only

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
2026	MiLB	still in minors · estimated debut 2032
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	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.5M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2023	19	ROK	DSL Tigers 2	—	94	84	16	5	1	2	8	31	2	2	1	190	277	345	622	155	275	33	9	282	77	-3	+0	—	—	+2	-0.1
2024	20	ROK	DSL Tigers 1	—	165	136	26	4	3	2	16	39	10	5	0	191	317	309	626	118	250	24	10	291	83	-3	+1	—	—	+4	0.1
2025	21	ROK	DSL Tigers 1	—	124	96	22	5	0	0	20	22	7	4	3	229	398	281	680	52	293	18	16	330	109	+1	-0	—	—	+3	0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	19	ROK MLE	DSL Tigers 2	—	94	87	9	2	1	1	5	45	2	2	1	103	170	184	354	80	195	48	5	162	-4	-12	+0	—	—	+2	-1.0
2024	20	ROK MLE	DSL Tigers 1	—	165	145	20	3	2	1	9	56	10	5	0	138	238	207	445	69	202	34	5	203	24	-15	+1	—	—	+4	-1.1
2025	21	ROK MLE	DSL Tigers 1	—	124	104	17	4	0	0	12	32	7	4	3	163	293	202	495	38	225	26	10	230	42	-9	-0	—	—	+3	-0.6
2023	19	ROK MLE	DSL Tigers 2	—	94	87	9	2	1	1	5	45	2	2	1	103	170	184	354	80	195	48	5	162	-4	—	—	—	—	—	—
2023	19	ROK RAW	DSL Tigers 2	—	94	84	16	5	1	2	8	31	2	2	1	190	277	345	622	155	275	33	9	282	-4	—	—	—	—	—	—
2024	20	ROK MLE	DSL Tigers 1	—	165	145	20	3	2	1	9	56	10	5	0	138	238	207	445	69	213	34	5	203	24	—	—	—	—	—	—
2024	20	ROK RAW	DSL Tigers 1	—	165	136	26	4	3	2	16	39	10	5	0	191	317	309	626	118	250	24	10	291	24	—	—	—	—	—	—
2025	21	ROK MLE	DSL Tigers 1	—	124	104	17	4	0	0	12	32	7	4	3	163	293	202	495	38	233	26	10	230	42	—	—	—	—	—	—
2025	21	ROK RAW	DSL Tigers 1	—	124	96	22	5	0	0	20	22	7	4	3	229	398	281	680	52	293	18	16	330	42	—	—	—	—	—	—
2023	19	ROK MLE	DSL Tigers 2	—	94	87	9	2	1	1	5	45	2	2	1	103	170	184	354	80	195	48	5	162	-4	—	—	—	—	—	—
2024	20	ROK MLE	DSL Tigers 1	—	165	145	20	3	2	1	9	56	10	5	0	138	238	207	445	69	202	34	5	203	24	—	—	—	—	—	—
2025	21	ROK MLE	DSL Tigers 1	—	124	104	17	4	0	0	12	32	7	4	3	163	293	202	495	38	225	26	10	230	42	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	DSL Tigers 2	—	94	87	9	2	1	1	5	45	2	2	1	103	170	184	354	80	195	48	5	162	-4	—	—	—	—	—	—
2024	20	ROK MLE	DSL Tigers 1	—	165	145	20	3	2	1	9	56	10	5	0	138	238	207	445	69	202	34	5	203	24	—	—	—	—	—	—
2025	21	ROK MLE	DSL Tigers 1	—	124	104	17	4	0	0	12	32	7	4	3	163	293	202	495	38	225	26	10	230	42	—	—	—	—	—	—
YTD	22	ROK MLE	DET	—	86	78	10	2	1	1	6	39	2	0	0	128	209	218	427	90	237	45	7	175	5	-10	+0	+0	+2	+2	-0.6
▸ 2026 season
YTD	22	ROK RAW	DET	—	86	73	14	3	1	1	10	27	2	0	0	192	302	301	604	110	289	31	12	281	5	—	—	—	—	—	—
ROS	22	ROK MLE	DET	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		265	33	11	237	47	-1	+0	+0	+0	+0	-0.0
TOT	22	ROK MLE	DET	—	95	86	11	2	1	1	7	42	2	0	0	128	211	209	420	81	233	44	7	181	9	-10	+0	+0	+2	+2	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	DET	34%	175	157	29	6	1	2	13	57	3	3	1	185	260	274	534	89	267	33	7	247	53	-10	+0	+0	+3	+4	-0.3
2028	24	MLB MLE	DET	46%	288	259	50	9	2	5	22	91	5	5	2	193	269	301	570	108	270	32	8	256	59	-14	+0	+0	+5	+6	-0.2
2029	25	MLB MLE	DET	52%	359	322	62	12	2	6	28	111	6	7	2	193	270	298	568	106	271	31	8	261	63	-16	+1	+0	+6	+8	-0.1
2030	26	MLB MLE	DET	54%	405	364	70	13	2	7	31	125	7	8	2	192	269	297	565	104	272	31	8	264	65	-17	+1	+0	+7	+9	-0.0
2031	27	MLB MLE	DET	54%	427	383	75	14	3	8	34	132	7	8	3	196	274	311	584	115	271	31	8	264	65	-18	+0	+0	+8	+9	-0.1
2032	28	MLB MLE	DET	58%	438	393	76	14	3	8	35	136	7	8	3	193	271	305	577	112	271	31	8	263	64	-19	+0	-1	+8	+9	-0.2
2033	29	MLB MLE	DET	55%	437	392	75	14	2	8	35	136	7	8	3	191	270	298	568	107	270	31	8	261	63	-19	+0	-1	+8	+9	-0.3
2027	23	MLB CTX	DET	34%	60	55	10	2	0	1	4	19	1	1	0	182	250	273	523	91	263	32	7	231	53	-3	+0	+0	+1	+1	-0.1
2028	24	MLB CTX	DET	46%	133	120	22	4	1	2	10	42	2	2	1	183	258	283	541	100	266	32	8	240	59	-6	+0	+0	+2	+3	-0.1
2029	25	MLB CTX	DET	52%	185	166	32	6	1	3	14	57	3	3	1	193	268	295	563	102	267	31	8	245	63	-8	+0	+0	+3	+4	-0.1
2030	26	MLB CTX	DET	54%	220	197	38	7	1	4	17	68	4	4	1	193	271	299	570	107	267	31	8	247	65	-9	+0	+0	+4	+5	-0.0
2031	27	MLB CTX	DET	54%	232	208	39	7	1	4	18	72	4	5	1	188	265	288	554	101	267	31	8	248	65	-10	+1	+0	+4	+5	-0.0
2032	28	MLB CTX	DET	58%	256	230	44	8	2	4	20	79	4	5	2	191	268	296	563	104	266	31	8	247	64	-11	+0	-0	+5	+6	-0.1
2033	29	MLB CTX	DET	55%	242	217	41	8	1	4	19	75	4	5	1	189	267	290	557	101	265	31	8	245	63	-11	+1	-1	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1328	1193	226	42	7	22	102	412	22	25	7	189	266	292	557	102	267	31	8	245	57	-59	+2	-1	+24	+29	-0.5
/ 162G	—	A+C		—	650	584	111	21	3	11	50	202	11	12	3	190	267	293	559	103	267	31	8	245	57	-29	+1	-1	+12	+14	-0.3
Career	—	MLE		—	2921	2614	484	91	18	46	225	924	61	58	20	185	266	287	552	101	264	32	8	253	57	-113	+3	-2	+45	+55	-1.2
/ 162G	—	MLE		—	650	582	107	20	4	10	50	206	14	13	4	184	265	284	549	100	263	32	8	253	57	-29	+1	-1	+12	+14	-0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy 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
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#4Adam 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
#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	2.2	1,432	24	27	194	268	301	+26	+20	0.3	0.3
/162	664	11	12	+11.9	+9.3	0.1	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
Martin Tamara (OGILVIE)	22	27→32	32→37	47→52	52	175/250/258	83	265	1	1	34%	7%	47	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Claudio Finol 2022 · A	22	40	38→40	46→45	40	194/253/278	85	271	5	6	29%	6%	51	-2.3	196/253/280	84	275	6	9	29%	6%	51	-2.2	192/260/271	78	271	9	12	31%	7%	51	-0.6
✕Franklin Tineo 2017 · A	22	36	38→45	46→50	45	179/245/253	75	239	5	10	26%	7%	42	-2.9	198/277/298	100	282	8	10	30%	8%	65	-1.2	201/298/325	124	262	10	12	25%	10%	77	-0.1
✕Aaron McKeithan 2022 · A	22	41	38→40	49→40	40	195/262/275	80	276	6	7	30%	6%	54	-2.0	219/298/304	85	284	8	4	24%	7%	74	-0.5	216/302/271	55	271	5	1	21%	8%	67	-0.3
✕David Masters 2015 · A	22	39→37	36→45	47→40	40	183/249/251	68	277	3	8	33%	7%	43	-2.8	179/238/250	71	242	6	4	27%	6%	38	-3.2	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕Glenn Santiago 2023 · A	22	41	41→40	46→45	39	201/255/297	96	286	8	8	32%	6%	55	-1.9	198/263/285	87	291	7	9	32%	7%	57	-1.8	182/254/257	75	267	7	8	32%	8%	46	-1.1
✕Alexis Wilson 2019 · A	22	41	38→40	48→30	45	195/262/274	79	264	5	4	27%	8%	53	-2.1	220/270/311	91	282	9	5	24%	6%	64	-1.3	224/269/304	80	272	10	1	21%	5%	59	-0.6
✕Willy Diaz 2015 · A	21	36	36→40	45→40	46	170/263/235	65	253	4	5	32%	9%	47	-2.6	187/263/267	80	309	5	4	37%	8%	53	-2.1	184/258/270	86	308	5	2	39%	8%	49	-0.9
✕Juan Zabala 2021 · A	22	40	39→40	48→50	37	189/252/274	85	300	6	6	37%	6%	50	-2.3	212/274/306	94	301	9	13	30%	7%	65	-1.2	206/268/289	83	286	8	16	29%	7%	56	-0.8
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	174/222/255	81	277	7	4	39%	5%	34	-3.5	184/241/265	81	306	8	5	40%	6%	44	-2.8	141/191/216	75	260	9	0	47%	5%	11	-1.0
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕J.C. Millan 2018 · A	22	40	37→40	45→30	36	194/235/270	76	278	4	8	31%	4%	41	-3.0	218/265/312	94	270	8	6	22%	6%	63	-1.4	223/270/312	90	261	9	4	18%	6%	61	-0.6
✕Raul Siri 2018 · A	23	39	38→40	51→50	42	192/251/271	80	265	6	11	29%	7%	49	-2.4	199/265/283	84	347	5	9	41%	7%	57	-1.8	146/235/232	85	299	4	14	47%	8%	34	-0.6
✕Wilkin Grullon 2022 · A	22	40	37→30	46→45	41	189/264/263	74	280	5	4	32%	7%	52	-2.2	196/257/296	100	321	9	5	39%	7%	57	-1.8	151/209/258	107	249	12	0	42%	6%	27	-0.7
✕Blake Hunt 2021 · A	22	42	40→45	49→40	43	204/260/298	94	268	7	6	26%	6%	58	-1.7	192/251/306	114	277	11	4	33%	6%	57	-1.8	208/275/351	144	265	17	1	28%	7%	74	-0.2
✕Victor Duarte 2022 · A	21	39	38→30	48→45	42	188/251/270	82	260	6	7	29%	6%	49	-2.4	199/275/282	83	287	6	6	30%	8%	61	-1.5	182/254/249	67	248	6	11	27%	8%	43	-0.7
✕Steven Baron 2013 · A	22	39	41→45	50	37	193/231/293	99	262	8	10	29%	4%	45	-2.7	197/236/286	89	278	6	9	30%	5%	45	-2.7	237/293/310	73	315	4	8	24%	7%	69	-0.4
✕Narbe Cruz 2023 · A	22	41	38→45	44→45	40	196/250/274	78	266	5	7	27%	5%	49	-2.4	214/267/306	92	306	8	6	31%	5%	62	-1.4	214/268/307	93	310	9	6	32%	5%	59	-0.8
✕David Narodowski 2011 · A	22	37	39→40	42→45	47	184/262/267	82	249	8	7	28%	9%	53	-2.1	202/263/289	87	282	6	8	29%	7%	57	-1.8	190/245/265	75	263	4	7	28%	7%	42	-0.7
✕Felix Familia 2021 · A	22	41	35→30	48→45	45	195/266/257	62	273	3	7	28%	7%	51	-2.2	206/258/268	62	295	4	4	30%	6%	50	-2.3	197/248/240	43	279	3	1	29%	5%	36	-1.0
✕Frank Veliz 2022 · A	22	39	37→30	47→55	38	186/240/260	74	289	5	7	36%	6%	42	-2.9	193/253/278	85	327	6	6	40%	7%	51	-2.3	134/206/210	76	246	7	0	45%	7%	16	-0.8

Career Stats + Projections

Career Comps

Career Path Comps