Austin Gauthier — OGILVIE

Austin GauthierSS Oklahoma City Comets

Age 27 R/R 5'10" / 188 lbs AAA HR +15%K -3% Svc 0.0 · Ctrl thru 2033 peak 1.2 · 2027

wRC+†82

AVG/OBP/SLG.231 / .324 / .326

PA250

HR3

SB8

K%23

BB%11

MLB%10%

Scouting · now → future

HIT

50→50

PWR

35→35

SPD

45→45

EYE

60→60

trajectory · 10 yrs

1.3peak

2027

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	+1.2	$10M	+$9M
2029	Arb-1	$0.8M	+1.1	$10M	+$9M
2030	Arb-2	$0.9M	+0.9	$4M	+$3M
2031	Arb-3	$1M	+0.6	$3M	+$2M
2032	Ext / FA-deal	$1M	+0.3	$1M	+$0.4M
2033	Ext / FA-deal	$7M	—	—	—
Totals		$12M		$28M	+$16M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2021	22	ROK	ACL Dodgers	124	107	17	2	1	0	14	57	0	5	1	.159	.256	.196	.452	.037	.321	46	11	.218	25	-11	+1	+0	+1	+4	-0.5
2022	23	A	2 teams	478	396	87	19	2	5	69	140	11	12	3	.220	.351	.316	.666	.096	.324	29	14	.303	90	-5	+1	+0	+5	+14	1.5
2023	24	AA	2 teams	579	497	144	27	7	10	72	106	4	19	6	.290	.384	.433	.817	.143	.346	18	12	.359	133	+21	+1	+0	+6	+16	4.6
2024	25	AAA	2 teams	535	471	103	17	4	5	53	135	9	13	2	.219	.310	.304	.613	.085	.294	25	10	.278	71	-18	+2	+0	+6	+15	0.5
2025	26	AAA	Oklahoma City Comets	478	410	96	18	1	3	61	117	2	5	1	.234	.336	.305	.641	.071	.315	24	13	.297	85	-8	+1	+0	+5	+14	1.2
▸ 2026 Season (actual · ROS · total)
2026	27	AAA	Oklahoma City Comets	79	69	14	2	1	1	9	30	1	4	0	.203	.304	.304	.608	.101	.342	38	11	.282	74	-2	+1	+0	+1	+2	0.2
ROS	27	MLB	LAD	171	148	34	6	1	2	19	44	2	4	1	.230	.325	.324	.650	.095	.307	26	11	.298	86	-3	+0	+0	+2	+5	0.4
TOT	27	MLB	LAD	250	217	48	8	2	3	28	74	3	8	1	.221	.319	.318	.637	.097	.319	30	11	.293	82	-5	+1	+0	+3	+7	0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	28	MLB 20%	LAD	333	288	69	13	2	5	39	66	3	7	1	.240	.336	.351	.687	.111	.291	20	12	.312	97	-1	+1	-1	+4	+9	1.2
2028	29	MLB 33%	LAD	352	306	71	13	2	5	40	72	3	7	1	.232	.327	.337	.663	.105	.290	20	11	.311	96	-2	+1	-1	+4	+10	1.2
2029	30	MLB 43%	LAD	363	316	75	14	2	6	41	76	3	6	0	.237	.331	.351	.682	.114	.289	21	11	.308	94	-2	+1	-2	+4	+10	1.1
2030	31	MLB 52%	LAD	358	312	71	13	2	5	40	76	3	5	0	.228	.321	.330	.651	.103	.288	21	11	.305	91	-3	+1	-3	+4	+10	0.9
2031	32	MLB 64%	LAD	345	300	69	13	2	5	39	75	3	3	0	.230	.325	.337	.661	.107	.286	22	11	.300	88	-5	+1	-4	+4	+10	0.6
2032	33	MLB 73%	LAD	318	276	62	11	2	4	36	72	3	2	0	.225	.321	.322	.643	.098	.285	23	11	.295	84	-6	+0	-4	+3	+9	0.3
2033	34	MLB 91%	LAD	277	242	53	9	2	3	31	65	2	1	0	.219	.313	.310	.623	.091	.283	23	11	.289	79	-7	+0	-5	+3	+8	-0.0
2034	35	MLB	LAD	227	198	41	7	1	2	25	55	2	0	0	.207	.302	.283	.585	.076	.281	24	11	.282	74	-7	+0	-6	+2	+6	-0.4
2035	36	MLB	LAD	171	149	31	5	1	2	19	44	1	0	0	.208	.302	.295	.597	.087	.279	26	11	.273	67	-6	+0	-6	+2	+5	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5109	4416	1023	187	32	62	598	1200	51	89	16	.232	.330	.331	.661	.099	.301	23	12	.302	89	-62	+11	-31	+55	+145	12.0
/ 162G	—			650	562	130	24	4	8	76	153	6	11	2	.231	.329	.331	.660	.100	.301	24	12	.302	89	-8	+1	-4	+7	+18	1.5

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
2021	22	ROK	ACL Dodgers	124	98	25	3	2	0	23	38	0	5	1	.255	.397	.327	.723	.071	.397	31	19	.332	113	+2	+1	—	—	+4	0.6
2022	23	A+	Great Lakes Loons	81	62	11	3	0	1	15	18	2	2	2	.177	.354	.274	.629	.097	.222	22	19	.299	87	-1	-0	—	—	+2	0.1
2022	23	A	Rancho Cucamonga Quakes	397	300	86	18	4	6	88	81	9	10	1	.287	.461	.433	.894	.147	.376	20	22	.409	171	+32	+2	—	—	+11	4.6
2023	24	AA	Tulsa Drillers	392	321	94	19	4	6	64	54	3	15	6	.293	.415	.433	.848	.140	.332	14	16	.380	149	+22	+1	—	—	+11	3.4
2023	24	A+	Great Lakes Loons	187	148	54	10	1	6	36	30	1	4	0	.365	.492	.568	1.059	.203	.421	16	19	.461	211	+23	+1	—	—	+5	3.0
2024	25	AAA	Oklahoma City Baseball Club	425	364	90	16	4	2	56	87	5	11	0	.247	.355	.330	.685	.082	.320	20	13	.319	102	+1	+2	—	—	+12	1.6
2024	25	AA	Tulsa Drillers	110	82	23	3	1	4	22	16	4	2	2	.280	.454	.488	.942	.207	.297	15	20	.415	176	+9	-0	—	—	+3	1.2
2025	26	AAA	Oklahoma City Comets	478	378	98	20	2	4	93	92	2	5	1	.259	.408	.354	.763	.095	.328	19	19	.353	128	+15	+1	—	—	+14	3.0

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
Austin Gauthier (OGILVIE)	27	50	35	45	60	.231/.324/.326	.095	.302	3	4	23%	11%	88	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Greg Garcia 2017 · MLB	27	52→53	39→40	48→50	51	.245/.325/.333	.087	.312	6	11	22%	9%	89	+1.0	.245/.340/.339	.094	.310	7	7	21%	11%	98	+1.6	.241/.350/.334	.093	.308	6	3	21%	13%	99	+0.8
✕Luis Martinez 2012 · MLB	27	53→57	38→40	47→40	47	.250/.311/.334	.083	.324	5	5	23%	7%	82	+0.5	.234/.290/.325	.091	.305	5	4	23%	7%	72	-0.2	.223/.280/.312	.089	.287	4	0	22%	6%	61	-0.4
✕Lou Marson 2011 · MLB	25	48→54	40	50	52	.229/.305/.324	.095	.283	7	10	21%	9%	79	+0.3	.216/.299/.301	.085	.278	5	11	22%	10%	70	-0.3	.224/.319/.289	.065	.297	1	9	22%	12%	72	-0.1
✕Jason Donald 2012 · MLB	27	51→55	40→45	52→50	44	.243/.303/.344	.100	.313	7	15	24%	6%	82	+0.5	.229/.282/.333	.104	.309	8	11	27%	6%	70	-0.3	.210/.258/.307	.097	.294	7	8	30%	5%	51	-0.9
✕Jhonny Pereda 2023 · AAA	27	48	39→45	45→40	52	.228/.296/.316	.089	.276	6	5	19%	9%	72	-0.2	.256/.322/.362	.106	.330	9	3	23%	9%	95	+1.4	.276/.346/.381	.105	.365	9	0	25%	9%	105	+0.9
✕Johnny Giavotella 2014 · MLB	27	54→59	41→45	48→50	48	.257/.307/.361	.104	.296	8	10	16%	6%	88	+0.9	.252/.299/.357	.105	.281	8	11	13%	6%	83	+0.6	.262/.307/.368	.106	.290	7	5	12%	6%	88	+0.6
✕Jake Elmore 2014 · MLB	27	54→62	39→40	52→55	53	.255/.325/.347	.092	.299	5	20	16%	8%	92	+1.2	.242/.315/.313	.071	.288	4	17	16%	9%	79	+0.3	.242/.306/.310	.068	.294	3	10	17%	7%	73	-0.1
✕Roy Morales 2022 · AA	27	55	36→30	45	49	.256/.314/.323	.067	.308	4	8	18%	7%	81	+0.4	.257/.322/.350	.093	.304	8	9	17%	8%	92	+1.2	.280/.353/.374	.094	.319	11	9	15%	9%	109	+0.9
✕Josh Rutledge 2016 · MLB	27	50→59	42→50	47→50	42	.240/.294/.348	.108	.308	9	8	24%	6%	79	+0.3	.220/.277/.312	.092	.311	7	8	29%	6%	63	-0.8	.193/.269/.246	.053	.279	3	4	29%	8%	42	-0.6
✕Andrew Knapp 2019 · MLB	27	48→56	43→45	48→40	48	.228/.305/.339	.111	.321	10	5	30%	10%	82	+0.5	.220/.312/.333	.113	.320	10	5	31%	11%	85	+0.7	.202/.273/.325	.124	.279	14	2	31%	8%	63	-0.5
✕Bryson Brigman 2022 · AAA	27	50→59	40	47→50	48	.240/.298/.335	.095	.295	6	10	20%	7%	78	+0.2	.235/.285/.333	.098	.298	8	11	23%	6%	72	-0.2	.239/.295/.315	.076	.296	6	12	20%	6%	68	-0.2
●Mark Kiger 2007 · AAA	27	50→57	41→45	48→50	48	.238/.303/.336	.098	.312	8	10	25%	8%	80	+0.4	.237/.317/.338	.101	.327	8	10	27%	10%	87	+0.8	.229/.323/.319	.090	.323	7	9	28%	11%	82	+0.3
✕Jamie Ritchie 2019 · AAA	26	49→53	39→40	48→45	49	.232/.310/.318	.086	.308	7	6	25%	9%	79	+0.3	.236/.313/.336	.100	.307	8	6	24%	9%	85	+0.7	.239/.323/.325	.086	.305	6	1	21%	10%	84	+0.3
✕Eric Campbell 2014 · AAA	27	52→57	42→45	48→50	53	.250/.330/.362	.112	.307	9	11	20%	9%	99	+1.7	.257/.338/.373	.116	.319	10	12	21%	10%	105	+2.1	.246/.341/.353	.107	.303	9	12	20%	10%	99	+1.1
✕Josh Labandeira 2006 · AAA	27	51→52	38→40	45	49	.239/.309/.325	.086	.304	5	12	22%	8%	80	+0.4	.240/.297/.314	.074	.296	4	9	19%	6%	72	-0.2	.236/.292/.299	.063	.293	4	6	19%	6%	63	-0.4
✕Steve Tolleson 2011 · MLB	27	52→53	44→45	48→50	48	.252/.308/.372	.121	.296	11	12	19%	7%	92	+1.2	.234/.296/.337	.103	.290	9	15	21%	8%	78	+0.2	.235/.301/.332	.097	.298	8	14	23%	8%	77	+0.1
✕Matt Lawson 2013 · AA	27	53→52	42→45	46→50	45	.254/.313/.371	.117	.318	8	9	22%	6%	94	+1.3	.229/.298/.321	.092	.300	7	14	24%	7%	75	-0.0	.211/.287/.284	.073	.281	6	15	25%	8%	59	-0.7
✕Jermaine Curtis 2014 · AAA	27	54→61	38→40	50	52	.257/.329/.335	.078	.298	5	8	15%	8%	92	+1.2	.245/.324/.322	.077	.280	6	10	14%	8%	86	+0.8	.256/.339/.342	.087	.305	8	7	17%	8%	96	+0.8
✕Bobby Hill 2005 · MLB	27	53	42→40	45	51	.253/.334/.358	.105	.295	9	7	17%	8%	100	+1.7	.244/.325/.329	.085	.308	6	4	21%	8%	89	+0.9	.239/.325/.309	.070	.315	3	2	22%	9%	80	+0.2
✕David Bacani 2006 · AAA	27	51→45	43→45	41→50	46	.245/.308/.360	.115	.308	9	8	23%	7%	89	+1.0	.228/.304/.329	.101	.276	8	10	19%	7%	80	+0.4	.213/.298/.293	.080	.255	6	10	18%	7%	68	-0.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)