Sterlin Thompson

OF Albuquerque Isotopes

Age 26 L/R 6'3" / 209 lbs AAA HR +30%H +12% Svc 0.203 · Ctrl thru 2032

Overview

AAA40-MANROOKIEPre-ArbFA 2033

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	23	AACOL	518	.245/.321/.385	13	12	68	—	.216/.274/.332
2025	24	AAACOL	513	.296/.394/.519	18	12	110	—	.255/.335/.429
2026	25	AAACOL	408	.329/.475/.530	14	21	142	—	.295/.409/.450
2026	25	MLBCOL	77	.232/.312/.377	2	0	90	-0.2
2027PROJ45% MLB	26	MLBCOL	70	.275/.367/.448	2	2	119	0.2
2028PROJ56% MLB	27	MLBCOL	162	.273/.365/.444	5	4	117	0.6
2029PROJ62% MLB	28	MLBCOL	185	.270/.361/.439	5	4	115	0.6

Last 3 seasons WAR -0.2 · Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2032Service0.203First FA2033

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Arb-1$2M2031Arb-2$3M2032Arb-3$3M

Skills · percentileMiLB Statcast 2026 AAA

BB%94

Chase%91

K%86

Speed81

Whiff%67

Max EV57

Career WAR0.2 WAR median (P10 -0.2 / P90 14, comp-based) · star 2% · didn't stick 69%

CompsJonathan India (age 26) · Josh Smith (age 26) · Eric Hinske (age 26)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†119

AVG/OBP/SLG.275 / .367 / .448

PA70

HR2

K%23

BB%10

BABIP339

ISO180

MLB%45%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$9M ctrl surplus

Tools · Contract

ToolsStatcast %ile · 2026

CONTACT

xAVG

110.219

POWER

Barrel%

356.3

Avg EV

1786.6

SPEED

Sprint

5227.6

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

Status Pre-Arb

MLB Debut 2026

Service 0.203 yrs.days

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.3	$1M	+$0.5M
2028	Pre-Arb	$0.8M	+0.6	$2M	+$2M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2031	Arb-2	$3M	+0.3	$0.9M	+$0.0M (cut)
2032	Arb-3	$3M	+0.1	$0.3M	+$0.0M (cut)
Totals		$2M		$8M	+$3M

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. 2027 = full-season projection (no games played yet). 2028+ 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	21	A	Fresno Grizzlies	—	50	46	16	4	0	1	3	12	0	2	0	348	388	500	888	152	441	24	6	385	97	—	—	—	—	—	—
2022	21	ROK	ACL Rockies	—	61	55	15	3	0	1	2	16	3	1	0	273	333	382	715	109	359	26	3	319	31	—	—	—	—	—	—
2023	22	AA	Hartford Yard Goats	—	144	126	30	3	0	7	15	32	3	3	1	238	333	429	762	190	264	22	10	342	79	—	—	—	—	—	—
2023	22	A+	Spokane Indians	—	263	229	74	22	1	7	23	42	8	14	2	323	404	520	923	197	366	16	9	404	101	—	—	—	—	—	—
2023	22	INTL	Salt River Rafters	—	100	80	27	7	2	0	18	24	1	7	3	338	465	475	940	137	474	24	18	418	169	—	—	—	—	—	—
2024	23	AA	Hartford Yard Goats	—	518	462	113	18	4	13	43	122	9	12	4	245	321	385	706	141	302	24	8	316	68	—	—	—	—	—	—
2025	24	AAA	Albuquerque Isotopes	—	513	439	130	28	8	18	53	107	18	12	4	296	394	519	913	223	353	21	10	400	110	—	—	—	—	—	—
2026	25	MLB	Colorado Rockies	—	77	69	16	4	0	2	5	21	3	0	0	232	312	377	688	145	304	27	6	312	90	-1	+0	+0	-3	+2	-0.2
2026	25	AAA	Albuquerque Isotopes	—	408	319	105	18	2	14	77	60	12	21	5	329	475	530	1.005	201	371	15	19	447	142	—	—	—	—	—	—
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	77	69	16	4	0	2	5	21	3	0	0	232	312	377	688	145	304	27	6	312	97	-0	+0	+0	-3	+2	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	A MLE	Fresno Grizzlies	—	50	47	14	3	0	1	2	17	0	2	0	298	327	426	752	128	406	34	4	312	97	—	—	—	—	—	—
2022	21	ROK MLE	ACL Rockies	—	61	56	11	2	0	1	1	23	3	1	0	196	250	286	536	89	274	38	2	214	31	—	—	—	—	—	—
2023	22	AA MLE	Hartford Yard Goats	—	144	130	28	3	0	5	11	37	3	3	1	215	292	354	646	138	255	26	8	285	79	—	—	—	—	—	—
2023	22	A+ MLE	Spokane Indians	—	263	237	62	17	1	6	15	58	8	14	2	262	327	418	745	156	310	22	6	318	101	—	—	—	—	—	—
2024	23	AA MLE	Hartford Yard Goats	—	518	476	103	14	4	11	29	151	9	12	4	216	274	332	606	116	287	29	6	268	68	—	—	—	—	—	—
2025	24	AAA MLE	Albuquerque Isotopes	—	513	455	116	24	8	13	37	136	18	12	4	255	335	429	764	174	330	27	7	331	110	—	—	—	—	—	—
2026	25	MLB MLE	Colorado Rockies	—	77	69	16	4	0	2	5	21	3	0	0	232	312	377	688	145	304	27	6	301	90	-1	+0	+0	-3	+2	-0.2
2026	25	AAA MLE	Albuquerque Isotopes	—	408	342	101	16	2	11	54	72	12	21	5	295	409	450	860	155	349	18	13	378	142	—	—	—	—	—	—
2022	21	ROK MLE	2 teams	—	111	103	24	5	0	2	3	40	3	3	0	233	275	340	615	107	349	36	3	258	61	—	—	—	—	—	—
2022	21	ROK RAW	2 teams	—	111	101	31	7	0	2	5	28	3	3	0	307	358	436	793	129	397	25	5	349	61	—	—	—	—	—	—
2023	22	A+ MLE	3 teams	—	507	459	112	25	1	14	32	118	12	24	6	244	310	394	704	150	296	23	6	306	93	—	—	—	—	—	—
2023	22	A+ RAW	3 teams	—	507	435	131	32	3	14	56	98	12	24	6	301	396	485	881	184	358	19	11	389	93	—	—	—	—	—	—
2024	23	AA MLE	Hartford Yard Goats	—	518	476	103	14	4	11	29	151	9	12	4	216	274	332	606	116	289	29	6	268	68	—	—	—	—	—	—
2024	23	AA RAW	Hartford Yard Goats	—	518	462	113	18	4	13	43	122	9	12	4	245	321	385	706	141	302	24	8	316	68	—	—	—	—	—	—
2025	24	AAA MLE	Albuquerque Isotopes	—	513	455	116	24	8	13	37	136	18	12	4	255	335	429	764	174	333	27	7	331	110	—	—	—	—	—	—
2025	24	AAA RAW	Albuquerque Isotopes	—	513	439	130	28	8	18	53	107	18	12	4	296	394	519	913	223	353	21	10	400	110	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	485	411	116	20	2	12	59	93	15	21	5	282	392	428	820	146	340	19	12	366	134	—	—	—	—	—	—
2026	25	AAA RAW	2 teams	—	485	388	121	22	2	16	82	81	15	21	5	312	449	503	952	191	361	17	17	425	134	—	—	—	—	—	—
2022	21	ROK MLE	2 teams	—	111	104	24	5	0	2	3	40	3	3	0	231	275	337	612	106	333	36	3	258	61	—	—	—	—	—	—
2023	22	A+ MLE	3 teams	—	507	458	112	25	1	14	32	118	12	24	6	245	310	395	705	151	291	23	6	306	93	—	—	—	—	—	—
2024	23	AA MLE	Hartford Yard Goats	—	518	475	103	14	4	11	29	151	9	12	4	217	274	333	607	116	287	29	6	268	68	—	—	—	—	—	—
2025	24	AAA MLE	Albuquerque Isotopes	—	513	453	116	24	8	13	37	136	18	12	4	256	335	430	766	174	330	27	7	331	110	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	485	408	116	20	2	12	59	93	15	21	5	284	392	431	823	147	342	19	12	366	134	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	23	AA MLE	Hartford Yard Goats	—	518	475	103	14	4	11	29	151	9	12	4	217	274	333	607	116	287	29	6	268	68	—	—	—	—	—	—
2025	24	AAA MLE	Albuquerque Isotopes	—	513	453	116	24	8	13	37	136	18	12	4	256	335	430	766	174	330	27	7	331	110	—	—	—	—	—	—
2026	25	AAA MLE	2 teams	—	485	408	116	20	2	12	59	93	15	21	5	284	392	431	823	147	342	19	12	366	134	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	26	MLB MLE	COL	45%	380	329	86	16	3	10	37	86	11	11	3	260	354	412	766	152	322	23	10	344	119	+8	+1	-1	-2	+8	0.7
▸ 2027 — real world (MLB)
2027	26	MLB CTX	COL	45%	70	61	17	3	1	2	7	16	2	2	1	275	367	448	815	173	339	23	10	362	119	+2	+0	-0	-0	+2	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	27	MLB MLE	COL	56%	290	252	64	12	2	7	28	66	8	8	2	258	352	409	761	151	320	23	10	341	117	+6	+1	-1	-2	+6	1.1
2029	28	MLB MLE	COL	62%	300	260	66	12	2	7	29	69	8	7	2	255	348	404	752	149	317	23	10	337	115	+5	+1	-2	-2	+6	0.9
2030	29	MLB MLE	COL	63%	294	256	65	12	2	7	28	68	8	6	2	252	344	398	742	146	314	23	10	333	112	+4	+0	-2	-2	+6	0.7
2031	30	MLB MLE	COL	63%	289	253	63	12	2	7	27	68	7	4	1	249	339	390	729	142	311	24	9	328	108	+3	+0	-3	-2	+6	0.5
2032	31	MLB MLE	COL	64%	271	238	58	11	2	6	25	65	6	2	1	244	333	381	714	137	307	24	9	322	104	+1	+0	-4	-2	+6	0.2
2033	32	MLB MLE	COL	64%	248	217	51	9	1	5	23	60	6	0	1	238	327	368	694	129	303	24	9	314	99	-0	-0	-4	-1	+5	-0.1
2028	27	MLB CTX	COL	56%	162	140	39	7	2	5	16	37	5	4	1	273	365	444	809	172	337	23	10	359	117	+3	+0	-0	-1	+4	0.6
2029	28	MLB CTX	COL	62%	185	160	43	8	2	5	18	43	5	4	1	270	361	439	799	169	334	23	10	355	115	+3	+0	-1	-1	+4	0.6
2030	29	MLB CTX	COL	63%	184	159	43	8	2	5	18	43	5	4	1	266	356	431	787	165	331	23	10	351	112	+3	+0	-1	-1	+4	0.4
2031	30	MLB CTX	COL	63%	183	159	43	8	2	5	17	43	5	3	1	262	351	423	774	160	327	23	9	345	108	+2	+0	-2	-1	+4	0.3
2032	31	MLB CTX	COL	64%	173	151	39	7	2	4	16	41	4	1	1	257	345	412	757	155	323	24	9	338	104	+1	-0	-2	-1	+4	0.1
2033	32	MLB CTX	COL	64%	159	139	35	6	1	4	15	39	4	0	0	251	338	397	735	146	318	25	9	330	99	-0	+0	-3	-1	+3	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1123	977	258	48	11	30	105	267	31	16	5	264	354	428	782	164	332	24	9	344	104	+11	+1	-10	-9	+24	1.8
/ 162G	—	A+C		—	650	565	149	28	6	17	61	155	18	9	3	264	353	425	778	161	333	24	9	344	104	+6	+1	-6	-5	+14	1.0
Career	—	MLE		—	3981	3514	872	162	27	95	335	969	105	103	29	248	332	391	723	143	314	24	8	322	104	+22	+2	-16	-14	+42	3.7
/ 162G	—	MLE		—	650	574	142	26	4	16	55	158	17	17	5	247	331	390	722	143	313	24	8	322	104	+7	+1	-5	-5	+14	1.2

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAAlbuquerque Isotopes · 408 PAwOBA .435 → .378 (−57)K% 14.7% → 17.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.71%	÷1.000	×1.200	—	—	17.65%
BB% (unintentional) /PA	18.63%	÷1.000	×0.690	—	×1.033	13.28%
HBP% /PA	2.94%	—	×0.940	—	×1.033	2.86%
Singles /BIP	27.41%	÷1.000	×0.930	×1.013	×1.033	26.69%
Doubles /BIP	6.95%	÷1.000	×0.830	×1.013	×1.033	6.04%
Triples /BIP	0.77%	÷1.000	×0.970	×1.013	×1.033	0.78%
Home runs /BIP	5.41%	÷1.000	×0.700	—	×1.033	3.91%

Factors used: league row International League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 25 vs a level average of 27.2 → +3.3% on BB/HBP/hit rates (2.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.013.

Result: wOBA .435 → .378; ISO .201 → .164; BABIP .371 → .349. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 AAAAlbuquerque Isotopes · 513 PAwOBA .392 → .331 (−61)K% 20.9% → 26.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.86%	÷0.945	×1.200	—	—	26.49%
BB% (unintentional) /PA	10.33%	÷1.019	×0.690	—	×1.048	7.33%
HBP% /PA	3.51%	—	×0.940	—	×1.048	3.46%
Singles /BIP	22.89%	÷1.047	×0.930	×1.039	×1.048	22.13%
Doubles /BIP	8.43%	÷1.029	×0.830	×1.039	×1.048	7.41%
Triples /BIP	2.41%	÷1.028	×0.970	×1.039	×1.048	2.48%
Home runs /BIP	5.42%	÷1.017	×0.700	—	×1.048	3.91%

Factors used: league row International League. Park (home-season share, regressed): HR 103, 1B 109, 2B 106, 3B 106, K 89, BB 104 — applied at half strength. Age: age 24 vs a level average of 27.2 → +4.8% on BB/HBP/hit rates (3.2 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.039.

Result: wOBA .392 → .331; ISO .223 → .177; BABIP .353 → .330. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2024 AAHartford Yard Goats · 518 PAwOBA .310 → .268 (−42)K% 23.6% → 29.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.55%	÷0.987	×1.220	—	—	29.13%
BB% (unintentional) /PA	8.30%	÷1.066	×0.700	—	×1.027	5.60%
HBP% /PA	1.74%	—	×0.850	—	×1.027	1.52%
Singles /BIP	22.94%	÷1.041	×0.970	×1.024	×1.027	22.48%
Doubles /BIP	5.29%	÷1.102	×0.860	×1.024	×1.027	4.34%
Triples /BIP	1.18%	÷0.900	×0.950	×1.024	×1.027	1.31%
Home runs /BIP	3.82%	÷0.916	×0.780	—	×1.027	3.34%

Factors used: league row EL. Park (home-season share, regressed): HR 83, 1B 108, 2B 120, 3B 80, K 97, BB 113 — applied at half strength. Age: age 23 vs a level average of 24.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.024.

Result: wOBA .310 → .268; ISO .141 → .121; BABIP .302 → .287. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 A+Spokane Indians · 263 PAwOBA .396 → .318 (−78)K% 16.0% → 21.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	15.97%	÷0.983	×1.350	—	—	21.93%
BB% (unintentional) /PA	8.37%	÷1.075	×0.710	—	×1.012	5.59%
HBP% /PA	3.04%	—	×0.810	—	×1.012	2.49%
Singles /BIP	23.53%	÷1.019	×0.910	×0.976	×1.012	20.75%
Doubles /BIP	11.76%	÷1.026	×0.830	×0.976	×1.012	9.40%
Triples /BIP	0.53%	÷0.936	×0.820	×0.976	×1.012	0.46%
Home runs /BIP	3.74%	÷1.047	×0.830	—	×1.012	3.00%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 109, 1B 104, 2B 105, 3B 87, K 97, BB 115 — applied at half strength. Age: age 22 vs a level average of 22.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.976.

Result: wOBA .396 → .318; ISO .197 → .155; BABIP .366 → .310. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2023 AAHartford Yard Goats · 144 PAwOBA .332 → .285 (−47)K% 22.2% → 25.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.22%	÷1.052	×1.220	—	—	25.76%
BB% (unintentional) /PA	10.42%	÷1.009	×0.700	—	×1.042	7.53%
HBP% /PA	2.08%	—	×0.850	—	×1.042	1.85%
Singles /BIP	21.28%	÷1.065	×0.970	×1.043	×1.042	21.06%
Doubles /BIP	3.19%	÷1.000	×0.860	×1.043	×1.042	2.98%
Triples /BIP	0.00%	÷0.900	×0.950	×1.043	×1.042	0.00%
Home runs /BIP	7.45%	÷1.040	×0.780	—	×1.042	5.82%

Factors used: league row EL. Park (home-season share, regressed): HR 108, 1B 113, 2B 100, 3B 80, K 110, BB 102 — applied at half strength. Age: age 22 vs a level average of 24.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.043.

Result: wOBA .332 → .285; ISO .190 → .151; BABIP .264 → .255. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 ROKACL Rockies · 61 PAwOBA .316 → .214 (−102)K% 26.2% → 38.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.23%	÷0.980	×1.440	—	—	38.55%
BB% (unintentional) /PA	3.28%	÷0.981	×0.620	—	×0.985	2.04%
HBP% /PA	4.92%	—	×0.720	—	×0.985	3.49%
Singles /BIP	28.21%	÷1.035	×0.820	—	×0.985	22.00%
Doubles /BIP	7.69%	÷0.979	×0.720	—	×0.985	5.57%
Triples /BIP	0.00%	÷1.150	×0.720	—	×0.985	0.00%
Home runs /BIP	2.56%	÷0.918	×0.780	—	×0.985	2.15%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 84, 1B 107, 2B 96, 3B 130, K 96, BB 96 — applied at half strength. Age: age 21 vs a level average of 19.5 → −1.5% on BB/HBP/hit rates (1.5 yr older than average).

Result: wOBA .316 → .214; ISO .109 → .074; BABIP .359 → .274. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2022 AFresno Grizzlies · 50 PAwOBA .382 → .312 (−70)K% 24.0% → 34.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.00%	÷0.961	×1.360	—	—	33.97%
BB% (unintentional) /PA	6.00%	÷1.011	×0.690	—	×1.015	4.16%
HBP% /PA	0.00%	—	×0.780	—	×1.015	0.00%
Singles /BIP	32.35%	÷0.983	×0.920	—	×1.015	30.73%
Doubles /BIP	11.76%	÷0.974	×0.830	—	×1.015	10.18%
Triples /BIP	0.00%	÷0.937	×0.910	—	×1.015	0.00%
Home runs /BIP	2.94%	÷0.947	×0.800	—	×1.015	2.52%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 97, 2B 95, 3B 87, K 92, BB 102 — applied at half strength. Age: age 21 vs a level average of 22.0 → +1.5% on BB/HBP/hit rates (1.0 yr younger than average).

Result: wOBA .382 → .312; ISO .152 → .119; BABIP .441 → .406. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Al Ferrara'63-'71 * career totals — 7 seasons, 1,573 PA	2.4	1,573	51	0	257*	344*	455*	-17	-14	5.8	5.8
/162	664	22	0	-7.1	-6.0	2.4	pk7: 6
#2Bobby Kieltylast yr '07 career totals — 7 seasons, 2,084 PA	3.1	2,084	53	21	254	348	408	-20	-26	5.0	5.0
/162	664	17	7	-6.4	-8.3	1.6	pk7: 5
#3Robert Fick'98-'07 * career totals — 8 seasons, 2,658 PA	4.0	2,658	69	6	249*	318*	393*	-24	-10	3.9	5.0
/162	664	17	1	-6.0	-2.4	1.0	pk7: 6
#4R. J. Reynolds'83-'90 * career totals — 8 seasons, 2,506 PA	3.8	2,506	35	109	265*	321*	409*	-22	-16	4.1	4.2
/162	664	9	29	-5.7	-4.3	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	1.8	1,193	28	19	250	337	394	-7	-17	3.8	3.7
/162	664	16	10	-4.0	-9.6	2.1	pk7: 4
#5Connor Joelast yr '25 career totals — 5 seasons, 1,646 PA	2.5	1,646	35	13	241	335	387	-21	-16	1.9	1.9
/162	664	14	5	-8.3	-6.6	0.7	pk7: 2
#6Ben Franciscolast yr '13 career totals — 7 seasons, 1,771 PA	2.7	1,771	50	30	253	323	418	-19	-29	1.7	1.7
/162	664	19	11	-7.1	-10.9	0.6	pk7: 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
Sterlin Thompson (OGILVIE)	26	—	—	—	—	257/352/408	151	322	4	4	23%	10%	119	+0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jonathan India 2023 · MLB	26	52→54	49→50	45→50	51	254/343/405	151	309	16	8	22%	9%	114	+2.4	244/339/386	142	292	15	10	20%	10%	109	+2.0	238/339/373	135	284	14	9	20%	11%	105	+1.7
✕Josh Smith 2024 · MLB	26	45→53	45	50	52	222/320/350	128	276	12	12	23%	10%	94	+0.9	238/320/361	123	288	12	12	20%	9%	95	+1.0	235/317/352	117	283	11	13	20%	9%	92	+0.7
●Eric Hinske 2004 · MLB	26	51→55	53→60	53→50	56	257/338/448	192	301	18	13	21%	11%	122	+2.9	253/323/416	163	300	17	10	20%	9%	109	+2.0	253/323/412	159	299	17	9	21%	9%	109	+1.6
●Kole Calhoun 2014 · MLB	26	53→58	52→60	52→50	50	267/331/440	173	313	18	13	21%	8%	117	+2.6	268/326/439	171	315	19	6	20%	8%	115	+2.4	266/328/436	170	312	19	3	20%	8%	116	+2.6
✕Chance Sisco 2021 · MLB	26	45→55	51→50	43→40	48	227/330/389	162	308	20	3	31%	10%	107	+1.8	204/290/339	135	275	14	5	29%	9%	80	-0.2	160/246/269	109	216	9	0	29%	8%	46	-1.1
✕Mark Teahen 2008 · MLB	26	57→59	47→55	55→50	50	276/337/431	155	334	12	12	20%	8%	117	+2.6	264/321/405	141	324	13	8	21%	7%	105	+1.7	260/318/395	135	320	12	6	22%	7%	102	+1.3
✕Josh VanMeter 2021 · MLB	26	46→50	53→55	50	49	236/307/417	181	280	20	15	24%	8%	103	+1.6	215/307/371	156	274	17	9	26%	11%	93	+0.8	199/304/344	144	254	16	7	27%	13%	85	+0.1
✕Lonnie Chisenhall 2015 · MLB	26	53→57	50→55	48→45	47	266/320/426	160	304	17	5	19%	6%	110	+2.1	258/306/404	146	304	14	7	19%	6%	99	+1.3	276/329/444	168	320	16	7	18%	6%	118	+1.3
●Stephen Drew 2009 · MLB	26	53→57	51→55	51→45	48	264/312/438	174	295	16	6	17%	7%	109	+2.0	260/318/425	165	297	14	7	17%	8%	108	+1.9	255/319/411	156	294	12	7	17%	8%	106	+1.5
✕Domonic Brown 2014 · MLB	26	50→57	53→55	47→55	49	258/311/432	174	287	20	9	18%	7%	108	+1.9	231/278/354	123	272	13	10	20%	6%	78	-0.3	218/261/339	120	260	14	2	22%	5%	66	-0.7
●Dominic Canzone 2024 · MLB	26	51→54	54→60	50	46	260/311/442	182	296	21	11	20%	6%	110	+2.1	254/311/438	184	296	23	7	22%	7%	109	+2.0	255/317/447	192	296	25	5	23%	8%	114	+1.7
●Lane Thomas 2022 · MLB	26	46→52	50→55	48→55	50	230/310/394	164	301	17	13	28%	10%	99	+1.2	247/309/421	174	308	20	16	25%	7%	105	+1.7	248/309/424	176	306	20	21	25%	7%	106	+1.8
✕Larry Bigbie 2005 · MLB	27	56	49→50	49→50	50	276/336/424	147	328	17	11	21%	8%	115	+2.4	248/309/372	124	315	12	9	24%	8%	93	+0.8	239/298/345	106	310	8	8	24%	8%	81	-0.0
✕Mike Baxter 2011 · AAA	26	54→59	47→50	51→50	49	265/324/417	152	308	13	15	18%	7%	109	+2.0	246/319/383	137	304	11	13	21%	8%	99	+1.3	228/314/348	121	286	7	11	21%	9%	89	+0.2
✕Jake Fraley 2022 · MLB	27	46→47	53→55	53→55	54	234/331/406	171	301	20	21	28%	12%	109	+2.0	250/332/409	159	301	19	21	22%	10%	111	+2.1	258/330/406	148	303	17	26	20%	9%	109	+1.2
✕Leonys Martin 2013 · MLB	25	54→56	49→50	51→60	47	270/320/428	159	309	15	21	18%	6%	110	+2.1	253/302/369	116	307	10	31	20%	6%	89	+0.5	241/296/382	141	305	16	24	25%	6%	90	+0.5
●Dansby Swanson 2020 · MLB	26	47→55	49→55	47→55	48	239/302/389	150	287	16	10	23%	8%	95	+0.9	256/318/437	181	316	22	11	25%	8%	112	+2.2	254/320/434	179	313	23	11	25%	8%	113	+2.5
✕Blake Sabol 2024 · MLB	26	49→50	51→55	49→50	42	242/304/403	161	339	19	9	33%	7%	99	+1.3	213/280/329	116	300	13	12	31%	8%	73	-0.6	195/265/291	95	279	10	14	32%	8%	56	-1.1
✕Brennan Boesch 2012 · MLB	27	53→56	53→55	48→50	46	268/320/443	175	309	20	8	20%	6%	114	+2.4	251/298/411	160	297	18	9	22%	6%	98	+1.2	240/278/381	141	296	16	9	24%	4%	83	+0.1
✕Jeremy Hermida 2010 · MLB	26	52→59	50→55	47→50	52	259/333/413	154	310	18	7	22%	9%	112	+2.2	245/307/390	145	314	17	5	26%	7%	97	+1.1	238/294/378	140	313	16	3	28%	6%	88	+0.3

Sterlin Thompson

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps