Jaxson West

C Vancouver Canadians

Age 23 L/R 6'0" / 193 lbs A+ Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

OGV OFP35OGV rank#1198ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	21	ATOR	61	.160/.311/.200	0	0	23	—	.151/.262/.189
2026	22	A+/A/ROKTOR	164	.350/.447/.423	2	7	105	—	.304/.379/.371
2027PROJMLE	23	MLBTOR	274	.225/.294/.320	4	5	75	0.2
2028PROJ30% MLB	24	MLBTOR	42	.229/.298/.332	1	1	79	0.1
2029PROJ44% MLB	25	MLBTOR	88	.231/.300/.341	2	2	81	0.2

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Arb-1$0.6M+2

Skills · percentileMiLB Statcast 2026 A+

K%96

Whiff%91

Chase%88

Z-Con%87

wRC+67

BB%65

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsJohnny Monell (age 23) · Darrien Miller (age 23) · Conner Crumbliss (age 23)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 95 proj PA

wRC+†75

AVG/OBP/SLG.224 / .292 / .318

PA95

HR1

K%24

BB%8

ISO95

MLB%0%

Value2027 · WAR

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

Tools · Contract

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
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	Pre-Arb	$0.9M	+0.3	$0.9M	+$0.3M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
2034	Arb-1	$0.6M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-2	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$3M		$2M	+$0.6M

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. Catcher framing: only 2027 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 1-3 WAR low.

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)
2025	21	A	Dunedin Blue Jays	—	61	50	8	2	0	0	11	7	0	0	2	160	311	200	511	40	186	11	18	257	23	—	—	—	—	—	—
2026	22	A+	Vancouver Canadians	—	97	81	25	2	0	1	13	13	1	5	0	309	411	370	781	62	348	13	13	354	88	—	—	—	—	—	—
2026	22	A	Dunedin Blue Jays	—	37	34	15	2	0	1	2	6	0	1	1	441	472	588	1.060	147	500	16	5	457	148	—	—	—	—	—	—
2026	22	ROK	FCL Blue Jays	—	30	22	8	0	0	0	6	1	2	1	1	364	533	364	897		381	3	20	430	106	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	21	A MLE	Dunedin Blue Jays	—	61	53	8	2	0	0	8	10	0	0	2	151	262	189	451	38	170	16	13	202	23	—	—	—	—	—	—
2026	22	A+ MLE	Vancouver Canadians	—	97	85	23	2	0	1	9	18	1	5	0	271	347	329	677	59	308	19	9	299	88	—	—	—	—	—	—
2026	22	A MLE	Dunedin Blue Jays	—	37	35	14	2	0	1	1	8	0	1	1	400	417	543	960	143	445	22	3	387	148	—	—	—	—	—	—
2026	22	ROK MLE	FCL Blue Jays	—	30	24	7	0	0	0	4	1	2	1	1	292	433	292	725		301	3	13	325	106	—	—	—	—	—	—
2025	21	A MLE	Dunedin Blue Jays	—	61	53	8	2	0	0	8	10	0	0	2	151	262	189	451	38	186	16	13	202	23	—	—	—	—	—	—
2025	21	A RAW	Dunedin Blue Jays	—	61	50	8	2	0	0	11	7	0	0	2	160	311	200	511	40	186	11	18	257	23	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	164	144	43	3	0	2	14	27	3	7	2	299	373	361	734	62	347	16	9	324	105	—	—	—	—	—	—
2026	22	A+ RAW	3 teams	—	164	137	48	4	0	2	21	20	3	7	2	350	447	423	871	73	390	12	13	391	105	—	—	—	—	—	—
2025	21	A MLE	Dunedin Blue Jays	—	61	53	8	2	0	0	8	10	0	0	2	151	262	189	451	38	170	16	13	202	23	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	164	146	43	3	0	2	14	27	3	7	2	295	373	356	729	62	338	16	9	324	105	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	21	A MLE	Dunedin Blue Jays	—	61	53	8	2	0	0	8	10	0	0	2	151	262	189	451	38	170	16	13	202	23	—	—	—	—	—	—
2026	22	A+ MLE	3 teams	—	164	146	43	3	0	2	14	27	3	7	2	295	373	356	729	62	338	16	9	324	105	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	23	MLB MLE	TOR	0%	274	248	56	9	1	4	21	67	3	5	1	225	294	320	614	95	289	24	8	279	75	-8	+1	+0	+5	+6	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	24	MLB MLE	TOR	30%	138	125	29	5	1	2	11	33	1	2	1	228	297	331	628	103	290	24	8	284	79	-4	+0	+0	+2	+3	0.2
2029	25	MLB MLE	TOR	44%	199	179	42	7	1	4	16	48	2	4	1	230	299	339	639	109	291	24	8	288	81	-4	+0	+0	+4	+4	0.4
2030	26	MLB MLE	TOR	51%	254	230	53	9	1	5	20	61	2	4	1	232	301	345	646	114	291	24	8	291	83	-5	+0	+0	+5	+6	0.6
2031	27	MLB MLE	TOR	52%	289	261	60	10	1	6	23	69	3	5	1	231	301	346	647	115	290	24	8	292	83	-6	+1	+0	+5	+6	0.6
2032	28	MLB MLE	TOR	53%	309	278	64	11	1	6	25	74	3	4	1	230	300	344	644	114	289	24	8	290	83	-6	+0	-1	+6	+7	0.6
2033	29	MLB MLE	TOR	53%	312	281	64	11	1	6	25	76	3	3	1	228	297	338	635	110	288	24	8	287	80	-7	+0	-1	+6	+7	0.4
2034	30	MLB MLE	TOR	52%	311	280	63	10	1	6	25	77	3	2	1	224	293	330	623	106	286	25	8	282	77	-9	+0	-2	+6	+7	0.2
2035	31	MLB MLE	TOR	52%	284	258	57	9	1	5	22	71	2	1	1	220	288	320	608	100	283	25	8	276	73	-9	-0	-3	+5	+6	-0.1
2028	24	MLB CTX	TOR	30%	42	39	8	1	0	1	3	10	0	1	0	229	298	332	631	103	292	24	7	285	79	-1	+0	+0	+1	+1	0.1
2029	25	MLB CTX	TOR	44%	88	80	18	3	0	2	7	21	1	2	0	231	300	341	641	109	292	24	8	289	81	-2	+0	+0	+2	+2	0.2
2030	26	MLB CTX	TOR	51%	129	117	28	4	1	3	10	31	1	2	1	233	302	347	648	114	292	24	8	292	83	-3	+0	+0	+2	+3	0.3
2031	27	MLB CTX	TOR	52%	152	138	32	5	1	3	12	36	1	2	1	232	302	347	649	115	291	24	8	292	83	-3	+0	+0	+3	+3	0.3
2032	28	MLB CTX	TOR	53%	165	149	35	6	1	3	13	40	2	2	1	231	301	345	646	114	290	24	8	291	83	-3	+0	-0	+3	+4	0.3
2033	29	MLB CTX	TOR	53%	164	149	34	6	1	3	13	40	1	2	1	228	298	339	637	111	289	24	8	287	80	-4	+0	-1	+3	+4	0.2
2034	30	MLB CTX	TOR	52%	162	147	33	5	1	3	13	40	1	1	0	225	294	331	625	106	287	25	8	283	77	-4	+0	-1	+3	+4	0.1
2035	31	MLB CTX	TOR	52%	147	133	30	5	1	2	12	37	1	1	0	221	289	321	610	100	284	25	8	277	73	-5	+0	-1	+3	+3	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1049	952	218	35	6	20	83	255	8	13	4	229	296	341	638	112	290	24	8	287	80	-25	+1	-4	+19	+23	1.4
/ 162G	—	A+C		—	650	590	135	22	4	12	51	158	5	8	2	229	296	341	636	112	290	24	8	287	80	-16	+1	-2	+12	+14	0.9
Career	—	MLE		—	2416	2176	501	80	8	43	196	569	23	34	12	230	301	334	634	103	290	24	8	286	80	-53	+2	-7	+39	+47	2.9
/ 162G	—	MLE		—	650	585	136	22	2	12	53	153	6	9	3	232	303	338	641	106	292	24	8	286	80	-16	+1	-2	+12	+14	0.9

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 A+Vancouver Canadians · 97 PAwOBA .353 → .299 (−54)K% 13.4% → 18.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.40%	÷1.000	×1.350	—	—	18.09%
BB% (unintentional) /PA	13.40%	÷1.000	×0.710	—	×0.998	9.50%
HBP% /PA	1.03%	—	×0.810	—	×0.998	0.83%
Singles /BIP	32.35%	÷1.000	×0.910	×0.984	×0.998	28.91%
Doubles /BIP	2.94%	÷1.000	×0.830	×0.984	×0.998	2.40%
Triples /BIP	0.00%	÷1.000	×0.820	×0.984	×0.998	0.00%
Home runs /BIP	1.47%	÷1.000	×0.830	—	×0.998	1.22%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.8 → −0.2% on BB/HBP/hit rates (0.2 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.984.

Result: wOBA .353 → .299; ISO .062 → .052; BABIP .348 → .308. 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).

2026 ADunedin Blue Jays · 37 PAwOBA .457 → .387 (−69)K% 16.2% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.22%	÷1.000	×1.360	—	—	22.05%
BB% (unintentional) /PA	5.41%	÷1.000	×0.690	—	×0.990	3.69%
HBP% /PA	0.00%	—	×0.780	—	×0.990	0.00%
Singles /BIP	42.86%	÷1.000	×0.920	—	×0.990	39.03%
Doubles /BIP	7.14%	÷1.000	×0.830	—	×0.990	5.87%
Triples /BIP	0.00%	÷1.000	×0.910	—	×0.990	0.00%
Home runs /BIP	3.57%	÷1.000	×0.800	—	×0.990	2.83%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 22.0 → −1.0% on BB/HBP/hit rates (1.0 yr older than average).

Result: wOBA .457 → .387; ISO .147 → .116; BABIP .500 → .445. 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).

2026 ROKFCL Blue Jays · 30 PAwOBA .421 → .325 (−96)K% 3.3% → 4.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	3.33%	÷1.000	×1.440	—	—	4.80%
BB% (unintentional) /PA	20.00%	÷1.000	×0.620	—	×0.965	11.97%
HBP% /PA	6.67%	—	×0.720	—	×0.965	4.63%
Singles /BIP	38.10%	÷1.000	×0.820	—	×0.965	30.14%
Doubles /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.965	0.00%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.965	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 23 vs a level average of 19.5 → −3.5% on BB/HBP/hit rates (3.5 yr older than average).

Result: wOBA .421 → .325; ISO .000 → .000; BABIP .381 → .301. 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 ADunedin Blue Jays · 61 PAwOBA .252 → .202 (−50)K% 11.5% → 16.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.48%	÷0.968	×1.360	—	—	16.12%
BB% (unintentional) /PA	18.03%	÷1.015	×0.690	—	—	12.26%
HBP% /PA	0.00%	—	×0.780	—	—	0.00%
Singles /BIP	13.95%	÷1.006	×0.920	×1.037	—	13.22%
Doubles /BIP	4.65%	÷1.047	×0.830	×1.037	—	3.82%
Triples /BIP	0.00%	÷0.900	×0.910	×1.037	—	0.00%
Home runs /BIP	0.00%	÷1.284	×0.800	—	—	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 157, 1B 101, 2B 109, 3B 80, K 94, BB 103 — applied at half strength. Age: age 22 vs a level average of 22.0 → +0.0% on BB/HBP/hit rates (0.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.037.

Result: wOBA .252 → .202; ISO .040 → .033; BABIP .186 → .170. 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).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#2Curt Casalilast yr '24 career totals — 10 seasons, 1,566 PA	2.4	1,566	47	2	217	311	367	+28	+19	7.8	7.9
/162	664	20	1	+11.9	+7.9	3.3	pk7: 8
#3Sandy 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
#4Jake Gibbs'63-'71 * career totals — 7 seasons, 1,795 PA	2.7	1,795	25	28	244*	299*	362*	+32	+0	5.4	5.4
/162	664	9	10	+11.9	+0.0	2.0	pk7: 5
#5Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 4 projected seasons	1.6	1,049	20	12	229	294	339	+19	+16	2.3	2.3
/162	664	12	8	+11.9	+10.1	1.5	pk7: 2
#6Andy Allanson'86-'95 * career totals — 6 seasons, 1,633 PA	2.5	1,633	16	23	238*	283*	326*	+29	-0	0.3	0.5
/162	664	7	9	+11.6	-0.1	0.1	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
Jaxson West (OGILVIE)	23	—	—	—	—	224/292/318	94	289	1	2	24%	8%	75	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johnny Monell 2009 · A	23	47→43	43→50	48→45	47	227/295/345	118	284	10	10	23%	7%	82	+0.0	228/285/359	131	288	13	6	24%	7%	82	-0.0	225/286/348	123	283	13	8	24%	7%	78	-0.2
✕Darrien Miller 2024 · A	23	39→42	44→45	48→45	47	194/289/310	116	258	12	6	28%	9%	74	-0.6	192/313/294	102	262	8	5	27%	11%	80	-0.2	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Conner Crumbliss 2010 · A	23	49→48	40→45	50	50	230/314/332	102	296	6	10	23%	9%	86	+0.3	223/325/314	91	283	6	14	21%	13%	86	+0.3	218/327/309	92	274	7	16	20%	13%	85	+0.2
✕Luke Shliger 2024 · A	22	48	39→40	47→50	46	228/295/315	87	300	6	9	25%	7%	75	-0.5	216/309/312	96	303	8	12	28%	10%	80	-0.1	213/312/314	101	295	10	14	28%	11%	82	-0.0
✕Ben Rortvedt 2021 · AA	23	45	42→45	48→40	44	221/282/329	108	291	9	4	26%	7%	74	-0.6	204/269/325	121	286	14	4	32%	7%	68	-1.0	201/288/304	103	283	11	2	30%	10%	70	-0.3
✕Sherman Johnson 2013 · A	23	45→49	39→45	52→50	53	213/301/306	94	282	6	9	25%	11%	76	-0.4	219/297/329	110	279	8	12	23%	9%	79	-0.2	210/291/324	114	260	9	14	22%	10%	73	-0.6
✕Collin Burns 2023 · A	23	48	40→45	49→55	43	233/284/328	95	292	8	13	22%	5%	74	-0.6	206/262/287	81	279	6	17	27%	6%	56	-1.9	185/244/250	66	256	4	21	28%	6%	38	-1.4
✕Michael Turconi 2023 · A	24	50→46	40→45	45→50	51	236/313/323	87	291	7	9	21%	9%	84	+0.1	212/297/306	94	313	6	8	31%	10%	74	-0.6	197/287/281	85	301	5	7	33%	10%	63	-0.7
✕Braden Shewmake 2021 · AA	23	48→41	41→50	52→55	46	232/287/334	102	283	8	14	21%	6%	76	-0.4	217/258/348	131	270	14	13	25%	5%	69	-0.9	210/254/342	132	258	14	17	24%	5%	63	-0.9
✕Kameron Misner 2021 · A	23	46→43	39→50	54→55	47	218/294/306	88	309	7	13	29%	9%	73	-0.6	202/287/334	132	324	13	21	38%	10%	77	-0.3	193/290/335	142	306	15	26	38%	11%	76	-0.4
✕Bruce Maxwell 2014 · A	23	48	41→45	46→30	47	232/286/328	95	283	8	3	20%	7%	74	-0.5	225/282/313	88	288	8	2	23%	7%	69	-0.9	237/303/355	118	312	11	1	26%	9%	86	+0.1
✕Braiden Ward 2022 · A	23	48	37→40	47→70	46	223/310/298	75	312	4	10	28%	8%	78	-0.3	219/314/300	81	314	5	44	30%	6%	80	-0.1	233/320/331	98	311	5	64	24%	6%	85	+0.2
✕Taylor Grzelakowski 2018 · A	24	43	40→45	50→30	42	208/259/303	95	280	8	8	28%	6%	59	-1.7	210/270/304	94	317	6	3	33%	7%	63	-1.4	201/266/291	90	303	6	1	33%	8%	57	-1.0
✕Matthew Wood 2024 · A	23	45	37→45	46→45	54	214/299/282	68	265	5	5	20%	10%	70	-0.9	211/297/307	96	251	9	6	19%	10%	75	-0.5	205/299/321	116	233	13	6	17%	10%	78	-0.2
✕Mike Gerber 2015 · A	23	50→52	41→50	51→45	47	240/297/343	103	299	8	10	22%	7%	82	-0.0	232/281/362	130	314	11	9	28%	6%	80	-0.1	231/282/363	132	316	12	8	29%	6%	79	-0.2
✕Graysen Tarlow 2024 · A	23	45	43→30	49→40	50	217/307/331	113	283	10	8	25%	9%	84	+0.1	211/291/285	74	299	6	6	29%	8%	68	-1.0	224/307/292	68	313	6	7	28%	8%	76	-0.1
✕Ty Hanchey 2024 · A	24	44	40→45	50→40	50	210/283/302	91	268	7	8	23%	9%	68	-1.0	213/283/312	99	296	9	5	29%	8%	70	-0.8	207/277/307	100	297	10	3	32%	7%	65	-0.5
✕Phil Clarke 2022 · A	24	45	41→40	44→45	46	219/293/320	101	273	8	4	22%	7%	76	-0.4	223/305/310	87	267	8	6	18%	9%	78	-0.3	232/316/308	77	265	7	7	15%	9%	78	-0.1
✕Logan Vick 2014 · A	23	48	41→45	51→50	54	224/317/329	105	303	7	15	26%	12%	86	+0.3	193/282/288	95	290	7	13	32%	11%	65	-1.2	145/247/224	79	228	5	13	35%	11%	36	-2.2
✕Blake Tekotte 2010 · A	23	43→47	43→50	50→55	47	213/273/320	107	259	10	15	22%	7%	68	-1.0	222/284/369	147	288	16	21	27%	7%	84	+0.1	216/278/370	155	284	17	23	29%	7%	78	-0.2

Jaxson West

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps