Pete Alonso

1B Baltimore Orioles

Age 32 R/R 6'3" / 245 lbs MLB HR +9% Svc 8.000 · Ctrl thru 2026

Overview

MLB40-MANFA 2027

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR
2024	29	MLBNYM	695	.240/.331/.459	34	3	124	1.1
2025	30	MLBNYM	709	.272/.351/.524	38	1	144	2.7
2026	31	MLBBAL	700	.267/.365/.522	43	5	139	3.6
2027PROJ	32	MLBBAL	599	.262/.347/.518	36	4	135	3.0
2028PROJ	33	MLBBAL	552	.252/.337/.497	32	3	127	1.7
2029PROJ	34	MLBBAL	492	.241/.324/.471	27	2	117	0.8

Last 3 seasons WAR 7.4 · Next 3 projected WAR 5.5Projected rows: MLB playing time only, park and league context applied.

ContractCONFIRMED

Control thru2026Service8.000First FA2027Options1

Skills · percentileStatcast 2024-2026

Barrel%90

xwOBA90

Avg EV90

Bat Spd73

Speed10

Form.264/.362/.549 ▲▲ rolling true talent (60d window) · proj .256/.339/.503

CompsMarcus Thames (age 32) · Justin Smoak (age 32) · Jorge Soler (age 32)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†vL 133135vR 140

AVG/OBP/SLG.262 / .347 / .518

PA599

HR36

K%24

BB%10

BABIP289

ISO260

MLB%100%

Value2027 · WAR

trajectory · projected WAR by year

Tools · Recent Form · Splits · Contract

ToolsStatcast %ile · 2024-2026

CONTACT

xAVG

680.266

POWER

Barrel%

9015.8

Avg EV

9092.4

Bat Spd

7373.8

SPEED

Sprint

1024.9

Recent Formrolling true talent ⓘ

K%24%·24% over 115 PA (60d) · proj 24%

BB%12%▲▲14% over 115 PA (60d) · proj 10%

ISO.285▲▲.351 over 94 AB (60d) · proj .247

HR/BB11.7%▲▲16.4% over 67 BBE (60d) · proj 8.8%

BABIP.279▼.214 over 56 BIP (60d) · proj .283

SLASH.264/.362/.549▲▲proj .256/.339/.503

Platoon Splits2024-2026 · 1523 PA

vs LHP

vs RHP

Edge

412

1111

—

wRC+

105

134

▶▶R

wOBA

323

366

▶R

ISO

199

240

▶▶R

BABIP

272

294

▶R

26.7%

23.0%

▶R

BB%

8.5%

9.2%

▶R

Contract CONFIRMED · hand-curated extension

Status FA

MLB Debut 2019

Service 8.000 yrs.days

Team Control Through 2026

First FA Year 2027

OPT

Year	Status	Salary	Proj WAR	Value	Surplus
Totals		$0.0M		$0.0M	+$0.0M

Options · projected decision
2027	PLAYER OPT	$27.0M / $0.0M buyout	EXERCISE

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)
2017	22	AA	Binghamton Rumble Ponies	—	47	45	14	4	1	2	2	7	0	0	0	311	340	578	918	267	333	15	4	397	101	—	—	—	—	—	—
2017	22	A+	St. Lucie Mets	—	346	308	88	23	0	16	25	64	12	3	4	286	362	516	879	231	314	18	7	386	103	—	—	—	—	—	—
2018	23	AAA	Las Vegas 51s	—	301	258	67	19	1	21	33	78	7	0	1	260	359	585	944	326	284	26	11	403	103	—	—	—	—	—	—
2018	23	AA	Binghamton Rumble Ponies	—	273	220	69	12	0	15	43	50	8	0	2	314	443	573	1.016	259	344	18	16	441	139	—	—	—	—	—	—
2018	23	INTL	Scottsdale Scorpions	—	112	98	25	7	0	6	11	28	2	4	0	255	342	510	853	255	292	25	10	370	137	—	—	—	—	—	—
2019	24	MLB	New York Mets	—	693	597	155	30	2	53	72	183	21	1	0	260	359	583	942	323	280	26	10	406	161	+50	+0	-10	-12	+15	4.3
2020	25	MLB	New York Mets	—	239	208	48	6	0	16	24	61	6	1	0	231	328	490	818	260	242	26	10	359	124	+7	+0	-5	-4	+5	0.3
2021	26	MLB	New York Mets	—	637	561	147	27	3	37	60	127	12	3	0	262	346	519	865	257	274	20	9	376	141	+31	+1	-4	-11	+14	3.1
2022	27	MLB	New York Mets	—	685	597	162	27	0	40	67	128	12	5	1	271	357	518	874	246	279	19	10	379	136	+29	+1	-10	-12	+15	2.2
2023	28	MLB	New York Mets	—	658	568	123	21	2	46	65	151	21	4	1	217	320	504	823	287	205	23	10	358	127	+22	+0	-6	-12	+14	1.9
2024	29	MLB	New York Mets	—	695	608	146	31	0	34	70	172	13	3	0	240	331	459	790	219	276	25	10	349	124	+20	+1	-12	-12	+15	1.1
2025	30	MLB	New York Mets	—	709	624	170	41	1	38	61	162	15	1	2	272	351	524	875	252	305	23	9	379	144	+37	-1	-13	-13	+15	2.7
2026	31	MLB	Baltimore Orioles	—	700	602	161	24	0	43	81	169	12	5	1	267	365	522	887	254	299	24	12	387	139	+32	+1	+0	-12	+15	3.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			—	5016	4365	1112	207	8	307	500	1153	112	23	5	255	346	517	863	262	273	23	10	375	140	+240	+3	-61	-90	+109	20.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2017	22	AA MLE	Binghamton Rumble Ponies	—	47	46	12	3	1	1	1	8	0	0	0	261	277	435	711	174	309	17	2	318	101	—	—	—	—	—	—
2017	22	A+ MLE	St. Lucie Mets	—	346	314	75	19	0	14	19	95	12	3	4	239	307	433	740	194	296	27	5	320	103	—	—	—	—	—	—
2018	23	AAA MLE	Las Vegas 51s	—	301	267	56	16	1	16	24	102	7	0	1	210	292	457	749	247	261	34	8	321	103	—	—	—	—	—	—
2018	23	AA MLE	Binghamton Rumble Ponies	—	273	235	66	12	0	12	28	61	8	0	2	281	376	485	861	204	324	22	10	374	139	—	—	—	—	—	—
2019	24	MLB MLE	New York Mets	—	693	603	159	32	2	53	66	183	21	1	0	264	357	587	944	323	280	26	10	406	161	+50	+0	-10	-12	+15	4.3
2020	25	MLB MLE	New York Mets	—	239	212	49	6	0	16	20	61	6	1	0	231	315	486	801	255	242	26	8	352	124	+7	+0	-5	-4	+5	0.3
2021	26	MLB MLE	New York Mets	—	637	567	151	29	3	37	54	127	12	3	0	266	343	524	867	257	274	20	8	376	141	+31	+1	-4	-11	+14	3.1
2022	27	MLB MLE	New York Mets	—	685	613	166	29	0	40	51	128	12	5	1	271	339	514	853	243	279	19	7	369	136	+29	+1	-10	-12	+15	2.2
2023	28	MLB MLE	New York Mets	—	658	574	125	22	2	46	59	151	21	4	1	218	313	503	817	286	205	23	9	357	127	+22	+0	-6	-12	+14	1.9
2024	29	MLB MLE	New York Mets	—	695	612	150	33	0	34	66	172	13	3	0	245	331	466	797	221	276	25	9	351	124	+20	+1	-12	-12	+15	1.1
2025	30	MLB MLE	New York Mets	—	709	629	175	44	1	38	56	162	15	1	2	278	351	533	884	254	305	23	8	381	144	+37	-1	-13	-13	+15	2.7
2026	31	MLB MLE	Baltimore Orioles	—	700	608	157	23	0	41	75	169	12	5	1	258	351	498	849	240	299	24	11	373	139	+32	+1	+0	-12	+15	3.6
2017	22	A+ MLE	2 teams	—	393	360	88	22	1	15	20	103	12	3	4	244	306	436	742	192	300	26	5	320	103	—	—	—	—	—	—
2017	22	A+ RAW	2 teams	—	393	353	102	27	1	18	27	71	12	3	4	289	360	524	884	235	317	18	7	387	103	—	—	—	—	—	—
2018	23	AAA MLE	3 teams	—	686	602	147	34	1	34	61	195	17	4	3	244	331	473	804	229	298	28	9	346	120	—	—	—	—	—	—
2018	23	AAA RAW	3 teams	—	686	576	161	38	1	42	87	156	17	4	3	280	390	568	957	288	310	23	13	413	120	—	—	—	—	—	—
2019	24	MLB MLE	New York Mets	—	693	603	159	32	2	53	66	183	21	1	0	264	357	587	944	323	286	26	10	406	161	+50	+0	-10	-12	+15	4.3
2019	24	MLB RAW	New York Mets	—	693	597	155	30	2	53	72	183	21	1	0	260	359	583	942	323	280	26	10	406	161	+50	+0	-10	-12	+15	4.3
2020	25	MLB MLE	New York Mets	—	239	212	49	6	0	16	20	61	6	1	0	231	315	486	801	255	243	26	8	352	124	+7	+0	-5	-4	+5	0.3
2020	25	MLB RAW	New York Mets	—	239	208	48	6	0	16	24	61	6	1	0	231	328	490	818	260	242	26	10	359	124	+7	+0	-5	-4	+5	0.3
2021	26	MLB MLE	New York Mets	—	637	567	151	29	3	37	54	127	12	3	0	266	343	524	867	257	280	20	8	376	141	+31	+1	-4	-11	+14	3.1
2021	26	MLB RAW	New York Mets	—	637	561	147	27	3	37	60	127	12	3	0	262	346	519	865	257	274	20	9	376	141	+31	+1	-4	-11	+14	3.1
2022	27	MLB MLE	New York Mets	—	685	613	166	29	0	40	51	128	12	5	1	271	339	514	853	243	278	19	7	369	136	+29	+1	-10	-12	+15	2.2
2022	27	MLB RAW	New York Mets	—	685	597	162	27	0	40	67	128	12	5	1	271	357	518	874	246	279	19	10	379	136	+29	+1	-10	-12	+15	2.2
2023	28	MLB MLE	New York Mets	—	658	574	125	22	2	46	59	151	21	4	1	218	313	503	817	286	207	23	9	357	127	+22	+0	-6	-12	+14	1.9
2023	28	MLB RAW	New York Mets	—	658	568	123	21	2	46	65	151	21	4	1	217	320	504	823	287	205	23	10	358	127	+22	+0	-6	-12	+14	1.9
2024	29	MLB MLE	New York Mets	—	695	612	150	33	0	34	66	172	13	3	0	245	331	466	797	221	283	25	9	351	124	+20	+1	-12	-12	+15	1.1
2024	29	MLB RAW	New York Mets	—	695	608	146	31	0	34	70	172	13	3	0	240	331	459	790	219	276	25	10	349	124	+20	+1	-12	-12	+15	1.1
2025	30	MLB MLE	New York Mets	—	709	629	175	44	1	38	56	162	15	1	2	278	351	533	884	254	313	23	8	381	144	+37	-1	-13	-13	+15	2.7
2025	30	MLB RAW	New York Mets	—	709	624	170	41	1	38	61	162	15	1	2	272	351	524	875	252	305	23	9	379	144	+37	-1	-13	-13	+15	2.7
2026	31	MLB MLE	Baltimore Orioles	—	700	608	157	23	0	41	75	169	12	5	1	258	351	498	849	240	288	24	11	373	139	+32	+1	+0	-12	+15	3.6
2026	31	MLB RAW	Baltimore Orioles	—	700	602	161	24	0	43	81	169	12	5	1	267	365	522	887	254	299	24	12	387	139	+32	+1	+0	-12	+15	3.6
2017	22	A+ MLE	2 teams	—	393	358	88	22	1	15	20	103	12	3	4	246	306	439	745	193	298	26	5	320	103	—	—	—	—	—	—
2018	23	AAA MLE	3 teams	—	686	603	147	34	1	34	61	195	17	4	3	244	331	473	804	229	291	28	9	346	120	—	—	—	—	—	—
2019	24	MLB MLE	New York Mets	—	693	601	159	32	2	53	66	183	21	1	0	265	357	589	946	324	280	26	10	406	161	—	—	—	—	—	—
2020	25	MLB MLE	New York Mets	—	239	211	49	6	0	16	20	61	6	1	0	232	315	488	803	256	242	26	8	352	124	—	—	—	—	—	—
2021	26	MLB MLE	New York Mets	—	637	566	151	29	3	37	54	127	12	3	0	267	343	525	868	258	274	20	8	376	141	—	—	—	—	—	—
2022	27	MLB MLE	New York Mets	—	685	617	166	29	0	40	51	128	12	5	1	269	339	511	849	241	279	19	7	369	136	—	—	—	—	—	—
2023	28	MLB MLE	New York Mets	—	658	573	125	22	2	46	59	151	21	4	1	218	313	504	818	286	205	23	9	357	127	—	—	—	—	—	—
2024	29	MLB MLE	New York Mets	—	695	611	150	33	0	34	66	172	13	3	0	245	331	466	798	221	276	25	9	351	124	—	—	—	—	—	—
2025	30	MLB MLE	New York Mets	—	709	632	175	44	1	38	56	162	15	1	2	277	351	530	881	253	305	23	8	381	144	—	—	—	—	—	—
2026	31	MLB MLE	Baltimore Orioles	—	700	607	157	23	0	41	75	169	12	5	1	259	351	499	850	241	299	24	11	373	139	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	29	MLB MLE	New York Mets	—	695	611	150	33	0	34	66	172	13	3	0	245	331	466	798	221	276	25	9	351	124	—	—	—	—	—	—
2025	30	MLB MLE	New York Mets	—	709	632	175	44	1	38	56	162	15	1	2	277	351	530	881	253	305	23	8	381	144	—	—	—	—	—	—
2026	31	MLB MLE	Baltimore Orioles	—	700	607	157	23	0	41	75	169	12	5	1	259	351	499	850	241	299	24	11	373	139	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	32	MLB MLE	BAL	100%	639	561	143	28	1	36	61	151	12	4	1	256	342	503	845	247	283	24	10	368	135	+27	+0	+1	-11	+14	3.0
▸ 2027 — real world (MLB)
2027	32	MLB CTX	BAL	100%	599	526	138	27	1	36	57	141	11	4	1	262	347	518	865	257	289	24	10	376	135	+25	+0	+1	-11	+13	3.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	33	MLB MLE	BAL	100%	552	485	120	23	0	30	52	134	10	3	1	247	332	482	814	235	275	24	9	356	127	+18	+0	-3	-10	+12	1.7
2029	34	MLB MLE	BAL	100%	492	435	103	19	0	26	46	123	8	2	1	235	320	457	776	221	264	25	9	341	117	+10	+0	-4	-9	+11	0.8
2030	35	MLB MLE	BAL	100%	423	375	84	15	0	21	38	109	7	1	0	223	306	430	736	207	252	26	9	325	106	+3	+0	-5	-8	+9	0.0
2028	33	MLB CTX	BAL	100%	552	485	122	23	0	32	52	134	10	3	1	252	337	497	834	245	280	24	9	363	127	+18	+0	-3	-10	+12	1.7
2029	34	MLB CTX	BAL	100%	492	435	104	19	0	27	46	123	8	2	1	241	324	471	795	230	269	25	9	348	117	+10	+0	-4	-9	+11	0.8
2030	35	MLB CTX	BAL	100%	423	375	86	15	0	22	38	109	7	1	0	228	311	443	754	215	257	26	9	332	106	+3	+0	-5	-8	+9	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	6483	5660	1424	264	8	388	636	1519	137	29	7	252	342	507	848	255	273	23	10	369	131	+270	+3	-73	-116	+140	23.0
/ 162G	—	A+C		—	650	567	143	26	1	39	64	152	14	3	1	252	343	508	851	256	273	23	10	369	131	+27	+0	-7	-12	+14	2.3
Career	—	MLE		—	8161	7201	1810	358	11	465	721	1958	177	40	15	251	334	498	832	246	278	24	9	362	131	+295	+3	-72	-126	+153	25.9
/ 162G	—	MLE		—	650	574	145	29	1	37	57	156	14	3	1	253	334	500	834	247	281	24	9	362	131	+27	+0	-7	-12	+14	2.4

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.

2018 AAALas Vegas 51s · 301 PAwOBA .396 → .321 (−75)K% 25.9% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.91%	÷0.986	×1.290	—	—	33.91%
BB% (unintentional) /PA	10.96%	÷1.039	×0.710	—	×1.048	7.85%
HBP% /PA	2.33%	—	×0.980	—	×1.048	2.39%
Singles /BIP	14.44%	÷0.992	×0.900	×1.003	×1.048	13.78%
Doubles /BIP	10.56%	÷0.918	×0.810	×1.003	×1.048	9.79%
Triples /BIP	0.56%	÷0.959	×0.810	×1.003	×1.048	0.49%
Home runs /BIP	11.67%	÷1.009	×0.780	—	×1.048	9.45%

Factors used: league row PCL. Park (home-season share, regressed): HR 102, 1B 98, 2B 84, 3B 92, K 97, BB 108 — 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 ×1.003.

Result: wOBA .396 → .321; ISO .326 → .255; BABIP .284 → .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).

2018 AABinghamton Rumble Ponies · 273 PAwOBA .430 → .374 (−56)K% 18.3% → 22.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.32%	÷0.992	×1.220	—	—	22.53%
BB% (unintentional) /PA	14.65%	÷1.028	×0.700	—	×1.012	10.10%
HBP% /PA	2.93%	—	×0.850	—	×1.012	2.52%
Singles /BIP	24.71%	÷1.009	×0.970	×0.991	×1.012	23.83%
Doubles /BIP	7.06%	÷0.906	×0.860	×0.991	×1.012	6.72%
Triples /BIP	0.00%	÷1.134	×0.950	×0.991	×1.012	0.00%
Home runs /BIP	8.82%	÷1.013	×0.780	—	×1.012	6.87%

Factors used: league row EL. Park (home-season share, regressed): HR 103, 1B 102, 2B 81, 3B 127, K 98, BB 106 — applied at half strength. Age: age 24 vs a level average of 24.8 → +1.2% on BB/HBP/hit rates (0.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.991.

Result: wOBA .430 → .374; ISO .259 → .220; BABIP .344 → .324. 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).

2017 A+St. Lucie Mets · 346 PAwOBA .375 → .320 (−55)K% 18.5% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.50%	÷0.956	×1.420	—	—	27.47%
BB% (unintentional) /PA	6.94%	÷0.957	×0.750	—	×0.998	5.42%
HBP% /PA	3.47%	—	×0.930	—	×0.998	3.22%
Singles /BIP	20.08%	÷0.970	×0.920	×1.011	×0.998	19.22%
Doubles /BIP	9.43%	÷1.056	×0.960	×1.011	×0.998	8.65%
Triples /BIP	0.00%	÷0.900	×0.810	×1.011	×0.998	0.00%
Home runs /BIP	6.56%	÷0.911	×0.880	—	×0.998	6.32%

Factors used: league row FSL. Park (home-season share, regressed): HR 82, 1B 94, 2B 111, 3B 80, K 91, BB 91 — 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 ×1.011.

Result: wOBA .375 → .320; ISO .231 → .198; BABIP .314 → .296. 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).

2017 AABinghamton Rumble Ponies · 47 PAwOBA .385 → .318 (−67)K% 14.9% → 17.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.89%	÷1.046	×1.220	—	—	17.38%
BB% (unintentional) /PA	4.26%	÷0.986	×0.700	—	×1.027	3.10%
HBP% /PA	0.00%	—	×0.850	—	×1.027	0.00%
Singles /BIP	18.42%	÷0.971	×0.970	—	×1.027	18.90%
Doubles /BIP	10.53%	÷1.056	×0.860	—	×1.027	8.80%
Triples /BIP	2.63%	÷1.150	×0.950	—	×1.027	2.23%
Home runs /BIP	5.26%	÷1.365	×0.780	—	×1.027	3.09%

Factors used: league row EL. Park (home-season share, regressed): HR 173, 1B 94, 2B 111, 3B 130, K 109, BB 97 — 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).

Result: wOBA .385 → .318; ISO .267 → .187; BABIP .333 → .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).

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
#1Mark Teixeiralast yr '16 AS×3GG×5SS×3 career totals — 14 seasons, 8,029 PA	12.1	8,029	409	26	268	360	509	-143	-74	42.1	38.1
/162	664	34	2	-11.9	-6.1	3.5	pk7: 34
#2Mo Vaughn'91-'03 * career totals — 12 seasons, 6,410 PA	9.7	6,410	328	30	280*	367*	513*	-120	-46	34.7	33.2
/162	664	34	3	-12.4	-4.8	3.6	pk7: 32
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 12 projected seasons	10.7	7,082	418	32	252	338	506	-126	-130	35.8	32.1
/162	664	39	3	-11.9	-12.2	3.4	pk7: 28
#3Greg Luzinski'70-'84 * career totals — 14 seasons, 7,514 PA	11.3	7,514	307	37	271*	360*	514*	-113	-63	33.3	29.5
/162	664	27	3	-10.0	-5.6	2.9	pk7: 26
#4Adam Dunnlast yr '14 career totals — 14 seasons, 8,328 PA	12.5	8,328	462	63	237	364	490	-110	-208	31.8	29.0
/162	664	37	5	-8.8	-16.6	2.5	pk7: 26
#5Danny Tartabull'84-'97 * career totals — 12 seasons, 5,842 PA	8.8	5,842	262	37	267*	362*	510*	-82	-62	30.1	27.2
/162	664	30	4	-9.4	-7.0	3.4	pk7: 24
#6Ryan Howardlast yr '16 career totals — 12 seasons, 6,489 PA	9.8	6,489	380	12	258	344	515	-116	-144	21.9	23.5
/162	664	39	1	-11.9	-14.7	2.2	pk7: 25

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
Pete Alonso (OGILVIE)	32	—	—	—	—	254/339/498	244	283	34	4	24%	10%	135	+3.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marcus Thames 2009 · MLB	32	42→46	69→70	37→40	44	247/300/510	263	270	39	4	26%	7%	123	+3.0	247/308/444	197	293	28	3	25%	8%	110	+2.1	252/319/431	178	303	26	0	25%	8%	111	+1.1
✕Justin Smoak 2019 · MLB	32	47→54	60→65	39→30	57	250/343/474	224	291	28	2	24%	12%	129	+3.4	225/329/426	201	262	25	3	24%	13%	114	+2.3	199/319/395	196	220	26	0	23%	14%	105	+0.9
●Jorge Soler 2024 · MLB	32	43→52	64→70	41→45	53	243/328/484	240	274	33	2	25%	10%	127	+3.3	234/321/435	201	289	25	2	27%	10%	113	+2.3	221/313/403	182	282	21	0	28%	10%	103	+1.1
●Ryan Ludwick 2009 · MLB	31	51→55	63→65	39→45	48	270/338/512	242	316	30	5	25%	8%	137	+4.0	260/328/447	187	303	23	4	22%	8%	118	+2.6	249/321/424	175	291	21	0	22%	9%	111	+1.9
✕Hunter Renfroe 2023 · MLB	31	45→47	62→65	41→45	47	250/310/479	229	276	31	3	23%	8%	119	+2.7	236/300/416	180	271	22	3	22%	8%	101	+1.4	225/292/387	162	260	19	1	21%	8%	91	+0.4
●Lucas Duda 2016 · MLB	30	47→56	60→65	36→30	53	248/341/469	221	290	27	3	25%	11%	128	+3.3	237/320/466	229	277	30	2	26%	10%	120	+2.8	225/305/452	227	261	31	1	27%	9%	113	+1.3
●Christian Walker 2023 · MLB	32	44→53	58→65	41→45	52	240/317/442	202	264	27	3	21%	9%	113	+2.3	244/318/459	215	271	29	6	22%	9%	118	+2.6	241/314/452	211	273	29	5	24%	8%	115	+2.5
●Jeromy Burnitz 2002 · MLB	33	44→51	61→65	38→45	57	241/336/472	231	260	29	3	21%	12%	127	+3.3	240/313/455	215	267	29	7	22%	9%	115	+2.4	256/317/483	227	273	31	5	19%	7%	124	+3.0
✕Richie Sexson 2007 · MLB	32	48→53	64→65	41→30	53	261/342/511	250	296	32	2	24%	10%	138	+4.1	231/317/428	197	265	26	3	23%	11%	110	+2.1	210/304/389	179	236	24	1	23%	11%	97	+0.8
✕Brandon Drury 2024 · MLB	31	49→56	60	37→40	43	260/310/479	219	304	27	2	24%	6%	120	+2.8	207/278/331	124	261	14	3	25%	8%	73	-0.6	171/254/242	71	226	7	1	26%	9%	43	-1.3
✕Morgan Ensberg 2008 · MLB	32	46→55	59→60	36→45	63	246/355/459	214	266	27	3	20%	14%	130	+3.5	214/296/356	142	262	17	5	24%	10%	86	+0.3	167/245/260	93	213	11	2	27%	9%	44	-1.3
●C.J. Cron 2021 · MLB	31	45→53	62→65	43→40	46	250/316/478	228	279	31	3	24%	7%	122	+2.9	252/323/456	204	295	26	2	23%	8%	118	+2.7	249/317/447	198	292	26	0	24%	8%	116	+2.0
●Michael Morse 2013 · MLB	31	55→58	59→65	38→45	43	287/333/495	207	330	28	2	22%	5%	131	+3.6	256/310/430	174	318	21	2	26%	6%	107	+1.9	244/306/405	162	314	19	0	27%	7%	101	+0.9
✕Evan Gattis 2018 · MLB	31	46→47	61→70	41→30	46	252/302/471	220	268	30	3	20%	6%	115	+2.4	239/296/450	211	260	30	4	21%	7%	107	+1.9	219/278/443	223	227	34	1	22%	7%	101	+1.0
●Jesús Aguilar 2021 · MLB	31	50→51	56→60	40	54	258/339/450	192	296	25	2	22%	10%	123	+3.0	246/307/413	167	283	22	2	21%	8%	103	+1.5	237/295/391	154	274	21	0	22%	7%	93	+0.6
★Paul Konerko 2008 · MLB	32	51→58	62→65	41→30	56	275/352/504	229	283	31	2	16%	10%	140	+4.2	267/349/484	217	278	28	2	16%	10%	134	+3.8	294/368/510	216	306	30	0	15%	9%	148	+5.0
●Dan Uggla 2012 · MLB	32	47→57	62→65	40→45	54	257/337/483	227	285	32	3	23%	10%	130	+3.5	215/320/399	184	265	24	4	27%	12%	105	+1.7	193/314/358	165	247	21	3	29%	13%	94	+0.7
✕Justin Upton 2021 · MLB	33	43→53	59→65	41→55	49	234/320/437	203	283	28	5	28%	10%	114	+2.3	215/299/394	179	279	24	7	31%	10%	96	+1.0	193/283/365	172	249	24	5	32%	10%	84	+0.1
✕Ty Wigginton 2009 · MLB	31	53→55	59→60	38→50	49	276/336/485	209	298	27	5	18%	7%	130	+3.5	257/313/418	161	283	20	4	17%	7%	105	+1.7	245/303/390	146	271	17	4	17%	7%	96	+0.9
✕Jay Bruce 2019 · MLB	32	46→56	58→65	41→50	51	246/313/456	210	275	26	4	22%	9%	115	+2.4	224/283/453	229	247	31	4	24%	8%	103	+1.6	205/253/486	280	198	41	1	24%	6%	102	+0.5

Pete Alonso

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps