Max Durrington

IF Stockton Ports

Age 20 L/R 5'9" / 165 lbs A HR -5% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1908ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	INTLBrisbane Band…	75	.224/.288/.299	0	5	63	—
2025	18	A/ROK/INTL2 orgs	494	.231/.325/.322	5	19	59	—	.203/.268/.244
2026	19	AOAK	412	.260/.368/.347	4	26	75	—	.235/.316/.307
2027PROJMLE	20	MLBOAK	522	.211/.287/.275	3	12	62	-0.3
2028PROJ34% MLB	21	MLBOAK	125	.223/.299/.307	1	3	70	-0.1
2029PROJ48% MLB	22	MLBOAK	198	.228/.305/.326	3	4	77	-0.1

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

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Whiff%88

Chase%85

Z-Con%85

Speed81

K%75

BB%64

Career WAR0.0 WAR median (P10 -0.2 / P90 3.5, comp-based) · star 1% · didn't stick 85%

CompsLuis Durango (age 20) · Michael De La Cruz (age 20) · Eduard Pinto (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†62

AVG/OBP/SLG.209 / .285 / .272

PA210

HR1

SB5

K%23

BB%9

ISO64

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$3M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE35

scouting grade only

SPEED45

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
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	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2034	Pre-Arb	$1.0M	+0.2	$0.5M	+$0.0M
2035	Arb-1	$1M	+0.1	$0.2M	+$0.0M (cut)
2036	Arb-2	$1M	—	—	—
2037	Arb-3	$0.6M	—	—	—
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.

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)
2024	17	INTL	Brisbane Bandits	—	75	67	15	3	1	0	5	18	1	5	1	224	288	299	586	75	294	24	7	262	63	—	—	—	—	—	—
2025	18	A	Stockton Ports	—	197	173	39	4	0	2	19	33	2	6	1	225	309	283	593	58	266	17	10	274	46	—	—	—	—	—	—
2025	18	ROK	ACL Athletics	—	145	125	32	5	1	0	20	25	0	6	1	256	359	312	671	56	320	17	14	314	38	—	—	—	—	—	—
2025	18	INTL	Brisbane Bandits	—	152	131	28	9	2	3	17	28	2	7	2	214	313	382	695	168	248	18	11	309	96	—	—	—	—	—	—
2026	19	A	Stockton Ports	—	412	346	90	10	4	4	57	80	2	26	4	260	368	347	715	87	321	19	14	325	75	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	A MLE	Stockton Ports	—	197	179	37	4	0	1	13	44	2	6	1	207	268	246	514	39	262	22	7	236	46	—	—	—	—	—	—
2025	18	ROK MLE	ACL Athletics	—	145	132	26	4	1	0	13	37	0	6	1	197	269	242	511	45	261	26	9	225	38	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	412	362	85	9	4	3	41	109	2	26	4	235	316	307	623	72	309	26	10	279	75	—	—	—	—	—	—
2024	17	INTL MLE	Brisbane Bandits	—	75	67	15	3	1	0	5	18	1	5	1	224	288	299	586	75	294	24	7	—	—	—	—	—	—	—	—
2024	17	INTL RAW	Brisbane Bandits	—	75	67	15	3	1	0	5	18	1	5	1	224	288	299	586	75	294	24	7	262	63	—	—	—	—	—	—
2025	18	A MLE	3 teams	—	494	447	89	10	1	2	38	117	4	19	4	199	268	239	507	40	264	24	8	231	43	—	—	—	—	—	—
2025	18	A RAW	3 teams	—	494	429	99	18	3	5	56	86	4	19	4	231	325	322	647	91	276	17	11	296	43	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	412	362	85	9	4	3	41	109	2	26	4	235	316	307	623	72	320	26	10	279	75	—	—	—	—	—	—
2026	19	A RAW	Stockton Ports	—	412	346	90	10	4	4	57	80	2	26	4	260	368	347	715	87	321	19	14	325	75	—	—	—	—	—	—
2025	18	A MLE	3 teams	—	494	449	89	10	1	2	38	117	4	19	4	198	268	238	506	40	262	24	8	231	43	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	412	366	85	9	4	3	41	109	2	26	4	232	316	303	619	71	309	26	10	279	75	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	18	A MLE	3 teams	—	494	449	89	10	1	2	38	117	4	19	4	198	268	238	506	40	262	24	8	231	43	—	—	—	—	—	—
2026	19	A MLE	Stockton Ports	—	412	366	85	9	4	3	41	109	2	26	4	232	316	303	619	71	309	26	10	279	75	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	OAK	0%	522	467	98	13	3	3	47	122	3	12	2	211	287	275	562	64	275	23	9	260	62	-24	+2	+0	+0	+11	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	OAK	34%	364	326	70	9	2	4	33	83	2	8	1	218	295	298	592	80	277	23	9	272	70	-13	+1	+0	+0	+8	-0.4
2029	22	MLB MLE	OAK	48%	408	365	81	11	2	6	38	92	2	9	2	223	301	317	618	94	278	23	9	282	77	-11	+1	+0	+0	+9	-0.1
2030	23	MLB MLE	OAK	54%	455	407	93	13	3	8	42	101	3	9	2	227	305	331	635	104	280	22	9	288	81	-10	+1	+0	+0	+10	0.1
2031	24	MLB MLE	OAK	55%	505	450	104	15	3	10	47	111	3	9	2	230	307	340	647	110	281	22	9	293	85	-9	+1	+0	+0	+11	0.3
2032	25	MLB MLE	OAK	56%	562	500	116	17	3	11	53	124	4	10	2	231	309	345	654	114	282	22	9	296	86	-9	+1	+0	+0	+12	0.4
2033	26	MLB MLE	OAK	56%	583	519	120	17	3	12	55	128	4	10	2	231	309	344	653	114	282	22	9	295	86	-10	+1	+0	+0	+13	0.4
2034	27	MLB MLE	OAK	60%	582	518	119	17	3	12	55	129	4	9	2	230	308	342	649	112	281	22	9	294	85	-10	+1	+0	+0	+13	0.3
2035	28	MLB MLE	OAK	62%	573	511	116	16	3	11	54	128	3	8	2	228	306	337	642	109	280	22	9	291	83	-11	+1	-1	+0	+12	0.1
2036	29	MLB MLE	OAK	63%	558	498	112	16	3	10	52	126	3	7	1	225	303	330	633	105	279	23	9	287	81	-13	+1	-1	+0	+12	-0.1
2037	30	MLB MLE	OAK	63%	545	487	108	15	3	9	50	125	3	6	1	222	299	322	621	100	277	23	9	283	77	-15	+1	-2	+0	+12	-0.4
2028	21	MLB CTX	OAK	34%	125	112	25	4	1	1	11	29	1	3	0	223	299	307	606	84	284	23	9	277	70	-4	+1	+0	+0	+3	-0.1
2029	22	MLB CTX	OAK	48%	198	177	40	6	1	3	18	45	1	4	1	228	305	326	631	97	286	23	9	287	77	-5	+0	+0	+0	+4	-0.1
2030	23	MLB CTX	OAK	54%	247	220	52	8	2	4	23	55	2	5	1	232	309	339	649	107	288	22	9	294	81	-5	+1	+0	+0	+5	0.0
2031	24	MLB CTX	OAK	55%	280	250	59	9	2	5	26	62	2	5	1	235	312	348	661	113	289	22	9	299	85	-5	+1	+0	+0	+6	0.2
2032	25	MLB CTX	OAK	56%	315	281	66	10	2	6	29	69	2	6	1	237	314	354	667	117	290	22	9	301	86	-5	+1	+0	+0	+7	0.3
2033	26	MLB CTX	OAK	56%	328	292	69	11	2	6	31	72	2	6	1	236	314	353	667	117	290	22	9	301	86	-5	+1	+0	+0	+7	0.3
2034	27	MLB CTX	OAK	60%	347	309	73	11	2	7	33	77	2	6	1	235	313	350	663	115	289	22	10	299	85	-6	+1	+0	+0	+8	0.2
2035	28	MLB CTX	OAK	62%	353	315	73	11	2	7	33	79	2	5	1	233	310	345	656	112	288	22	9	297	83	-7	+1	-0	+0	+8	0.1
2036	29	MLB CTX	OAK	63%	350	312	72	11	2	6	33	79	2	4	1	231	307	339	646	108	286	23	9	293	81	-8	+0	-1	+0	+8	-0.1
2037	30	MLB CTX	OAK	63%	346	309	71	11	2	6	32	80	2	4	1	227	304	330	634	103	284	23	9	288	77	-9	+0	-1	+0	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2889	2577	600	92	18	51	269	647	18	48	9	233	310	342	652	109	290	22	9	295	75	-62	+6	-3	+0	+63	0.4
/ 162G	—	A+C		—	650	580	135	21	4	11	61	146	4	11	2	233	311	340	650	107	290	22	9	295	75	-14	+1	-1	+0	+14	0.1
Career	—	MLE		—	6326	5645	1267	173	35	99	582	1440	39	140	27	224	301	320	621	96	282	23	9	279	75	-121	+11	-4	+0	+116	0.1
/ 162G	—	MLE		—	650	580	131	18	4	10	60	148	4	14	3	226	303	322	625	97	284	23	9	279	75	-15	+1	-1	+0	+14	0.0

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 AStockton Ports · 412 PAwOBA .322 → .279 (−43)K% 19.4% → 26.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.42%	÷1.000	×1.360	—	—	26.41%
BB% (unintentional) /PA	13.83%	÷1.000	×0.690	—	×1.045	9.98%
HBP% /PA	0.49%	—	×0.780	—	×1.045	0.40%
Singles /BIP	27.07%	÷1.000	×0.920	×1.015	×1.045	26.42%
Doubles /BIP	3.76%	÷1.000	×0.830	×1.015	×1.045	3.31%
Triples /BIP	1.50%	÷1.000	×0.910	×1.015	×1.045	1.45%
Home runs /BIP	1.50%	÷1.000	×0.800	—	×1.045	1.26%

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 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.015.

Result: wOBA .322 → .279; ISO .087 → .075; BABIP .321 → .309. 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 AStockton Ports · 197 PAwOBA .268 → .236 (−32)K% 16.8% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.75%	÷1.011	×1.360	—	—	22.53%
BB% (unintentional) /PA	9.64%	÷1.029	×0.690	—	×1.050	6.79%
HBP% /PA	1.02%	—	×0.780	—	×1.050	0.83%
Singles /BIP	23.57%	÷1.003	×0.920	×1.035	×1.050	23.48%
Doubles /BIP	2.86%	÷0.990	×0.830	×1.035	×1.050	2.60%
Triples /BIP	0.00%	÷1.150	×0.910	×1.035	×1.050	0.00%
Home runs /BIP	1.43%	÷1.113	×0.800	—	×1.050	1.08%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 123, 1B 101, 2B 98, 3B 130, K 102, BB 106 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.035.

Result: wOBA .268 → .236; ISO .058 → .046; BABIP .266 → .262. 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 ROKACL Athletics · 145 PAwOBA .307 → .225 (−81)K% 17.2% → 25.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.24%	÷0.983	×1.440	—	—	25.26%
BB% (unintentional) /PA	13.79%	÷0.971	×0.620	—	×1.022	9.00%
HBP% /PA	0.00%	—	×0.720	—	×1.022	0.00%
Singles /BIP	26.00%	÷1.039	×0.820	×1.029	×1.022	21.60%
Doubles /BIP	5.00%	÷1.020	×0.720	×1.029	×1.022	3.71%
Triples /BIP	1.00%	÷0.989	×0.720	×1.029	×1.022	0.77%
Home runs /BIP	0.00%	÷0.926	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 85, 1B 108, 2B 104, 3B 98, K 97, BB 94 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.029.

Result: wOBA .307 → .225; ISO .056 → .040; BABIP .320 → .261. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Carlos Sanchez'14-'22 * career totals — 6 seasons, 2,503 PA	3.8	2,503	32	30	248*	305*	353*	+8	+0	2.1	2.6
/162	664	8	8	+2.0	+0.0	0.6	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.7	3,098	55	52	227	301	331	+0	+0	2.0	2.2
/162	664	12	11	+0.0	+0.0	0.4	pk7: 2
#4Scott Leius'90-'99 * career totals — 5 seasons, 1,727 PA	2.6	1,727	28	16	237*	306*	358*	+5	+5	1.5	2.1
/162	664	11	6	+2.0	+1.9	0.6	pk7: 3
#5Desi Relaford'96-'07 * career totals — 8 seasons, 3,347 PA	5.0	3,347	40	81	234*	308*	336*	+18	-13	0.2	1.3
/162	664	8	16	+3.7	-2.6	0.0	pk7: 2
#6Carlos Febles'98-'03 * career totals — 5 seasons, 1,892 PA	2.8	1,892	24	68	239*	316*	342*	+6	-4	0.5	0.5
/162	664	8	24	+2.2	-1.5	0.2	pk7: 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
Max Durrington (OGILVIE)	20	40	20	45	35	209/285/272	63	275	1	5	23%	9%	62	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Luis Durango 2023 · A	20	45	35→30	53→70	48	209/290/266	57	271	3	24	22%	8%	63	-1.4	216/288/274	58	294	2	32	25%	6%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Michael De La Cruz 2016 · A	20	40	36→40	45→50	46	190/261/259	69	270	4	9	29%	8%	50	-2.3	191/256/256	65	306	3	10	35%	7%	47	-2.6	156/231/187	31	268	0	14	38%	8%	19	-1.5
✕Eduard Pinto 2015 · A	20	46	35→40	43→50	46	213/259/274	61	250	3	6	16%	5%	51	-2.2	248/290/328	80	275	5	5	11%	5%	75	-0.5	270/306/354	85	299	6	10	12%	4%	84	+0.1
✕Alain Camou 2024 · A	20	46	35→30	44→50	50	215/284/281	66	275	2	7	21%	8%	63	-1.4	198/249/265	67	258	3	5	23%	6%	45	-2.7	142/168/182	41	171	0	0	16%	3%	-6	-1.2
✕Enmanuel Terrero 2023 · A	20	46	37→45	47→55	56	216/300/287	72	267	3	12	19%	11%	71	-0.8	208/277/303	95	322	9	15	35%	8%	65	-1.2	191/260/285	94	305	11	18	38%	8%	53	-0.8
✕Oswal Leones 2021 · A	20	40	35→30	46→50	47	189/255/250	61	251	3	12	25%	8%	45	-2.7	198/260/264	66	294	3	8	31%	7%	50	-2.3	180/248/237	57	271	2	9	32%	8%	36	-1.1
✕Darrien Miller 2021 · A	20	42	36→45	47→45	43	198/274/269	70	273	3	8	27%	6%	57	-1.8	204/306/321	117	276	13	6	29%	9%	82	+0.0	179/320/285	107	245	9	4	27%	12%	79	-0.1
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	197/266/263	67	278	4	12	29%	8%	53	-2.1	208/305/278	70	291	4	26	27%	9%	72	-0.7	223/339/272	49	296	2	35	22%	11%	80	-0.0
✕Isaiah Greene 2022 · A	20	46→42	36→40	44→55	47	209/287/273	64	318	3	7	32%	9%	62	-1.4	190/289/270	80	311	4	18	35%	12%	64	-1.3	170/280/253	83	280	4	23	36%	13%	54	-0.9
✕Kyung-Min Na 2012 · A	20	51	35→30	48→55	45	237/296/300	63	318	2	14	25%	7%	71	-0.8	204/260/276	72	312	3	10	33%	6%	53	-2.1	131/185/183	52	227	0	7	39%	6%	1	-1.3
✕Esteban González 2023 · A	20	44→45	36→45	45→55	43	204/277/273	69	286	3	10	28%	7%	59	-1.6	212/274/323	111	302	8	23	31%	6%	69	-0.9	211/269/335	124	294	10	28	30%	5%	68	-0.6
✕Freizer Pedron 2007 · A	20	40	36→30	48→55	45	191/250/257	66	243	3	12	22%	6%	45	-2.7	211/279/276	65	274	2	16	22%	7%	60	-1.6	221/294/282	61	275	1	29	18%	7%	64	-0.5
✕Felix G. Santana 2015 · A	20	41	35→30	46→50	44	194/262/257	63	252	3	10	23%	6%	50	-2.3	210/261/295	85	275	6	7	25%	5%	57	-1.8	221/250/302	81	284	6	0	24%	2%	50	-0.5
✕Darryl Collins 2022 · A	20	45	38→40	50→45	51	212/292/289	77	265	5	11	21%	9%	68	-1.0	209/287/289	80	273	4	11	23%	9%	66	-1.1	198/286/277	79	269	1	9	24%	11%	64	-0.7
✕Anthony Seigler 2019 · A	20	45→40	38→45	48→55	50	214/284/293	79	268	6	5	22%	8%	66	-1.1	196/276/274	78	288	5	5	30%	9%	59	-1.7	221/312/347	126	270	10	25	21%	11%	87	+0.2
✕Jenner Emeterio 2013 · A	20	42	37→30	48→60	49	198/268/270	72	254	4	13	22%	8%	55	-2.0	197/293/251	54	252	2	24	20%	11%	61	-1.5	183/298/219	36	231	1	34	18%	13%	54	-0.8
✕Antonis Macias 2024 · A	19	44→51	34→45	45	44	201/282/257	56	290	2	12	29%	8%	58	-1.7	223/308/294	71	307	3	7	26%	10%	76	-0.4	228/313/308	80	299	6	5	23%	10%	79	-0.1
✕Jean Carlos Sio 2024 · A	20	41→51	36→45	51→50	51	192/268/258	66	238	4	13	20%	9%	52	-2.2	221/300/315	94	287	8	11	24%	8%	78	-0.3	224/303/331	107	289	11	12	25%	8%	79	-0.2
✕Brian Sanchez 2024 · A	20	43→42	36→50	50→55	50	202/282/280	78	270	2	12	24%	9%	62	-1.4	211/280/327	116	302	8	17	30%	8%	72	-0.7	209/280/344	135	298	11	18	31%	8%	74	-0.3
✕Sam McDonnell 2016 · A	20	45→42	36→40	45	46	211/270/276	65	283	3	10	25%	7%	56	-1.9	204/273/288	84	283	4	8	27%	8%	60	-1.6	194/268/281	86	267	5	7	27%	8%	54	-1.0

Max Durrington

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps