Santiago Figueroa

C DSL Rays

Age 18 R/R 5'8" / 177 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP40OGV rank#398ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	16	ROKTB	99	.276/.433/.355	0	6	71	—	.200/.340/.250
2026	17	ROKTB	195	.203/.385/.266	1	8	39	—	.150/.305/.203
2027PROJMLE	18	MLBTB	305	.239/.320/.322	2	6	85	0.3
2028PROJ43% MLB	19	MLBTB	66	.245/.327/.337	1	1	90	0.2
2029PROJ61% MLB	20	MLBTB	162	.248/.331/.348	2	4	94	0.6

Next 3 projected WAR 1.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Whiff%97

K%95

Z-Con%80

Speed55

BB%50

Chase%39

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 96%

CompsRubén Tejada (age 18) · Ronald Torreyes (age 18) · Jose Tabata (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 102 proj PA

wRC+†85

AVG/OBP/SLG.237 / .317 / .320

PA102

HR1

K%21

BB%8

ISO84

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$75M ctrl surplus

Tools · ContractCON 79 / POW 34

Toolsscout grade

CONTACT79

scouting grade only

POWER34

scouting grade only

EYE62

scouting grade only

SPEED56

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+1.4	$7M	+$7M
2034	Pre-Arb	$1.0M	+1.4	$7M	+$6M
2035	Pre-Arb	$1.0M	+1.4	$6M	+$6M
2036	Arb-1	$4M	+1.4	$6M	+$4M
2037	Arb-2	$7M	+1.2	$4M	+$2M
2038	Arb-3	$8M	+1.0	$3M	+$0.8M
Totals		$22M		$33M	+$25M

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	16	ROK	DSL Rays	—	99	76	21	6	0	0	13	5	8	6	1	276	433	355	788	79	288	5	13	366	71	—	—	—	—	—	—
2026	17	ROK	DSL Rays	—	195	143	29	4	1	1	30	20	13	8	3	203	385	266	651	63	219	10	15	308	39	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL Rays	—	99	80	16	4	0	0	9	6	8	6	1	200	340	250	590	50	206	6	9	273	71	—	—	—	—	—	—
2026	17	ROK MLE	DSL Rays	—	195	153	23	3	1	1	21	24	13	8	3	150	305	203	507	52	148	12	11	226	39	—	—	—	—	—	—
2025	16	ROK MLE	DSL Rays	—	99	80	16	4	0	0	9	6	8	6	1	200	340	250	590	50	211	6	9	273	71	—	—	—	—	—	—
2025	16	ROK RAW	DSL Rays	—	99	76	21	6	0	0	13	5	8	6	1	276	433	355	788	79	288	5	13	366	71	—	—	—	—	—	—
2026	17	ROK MLE	DSL Rays	—	195	153	23	3	1	1	21	24	13	8	3	150	305	203	507	52	164	12	11	226	39	—	—	—	—	—	—
2026	17	ROK RAW	DSL Rays	—	195	143	29	4	1	1	30	20	13	8	3	203	385	266	651	63	219	10	15	308	39	—	—	—	—	—	—
2025	16	ROK MLE	DSL Rays	—	99	82	16	4	0	0	9	6	8	6	1	195	340	244	584	49	206	6	9	273	71	—	—	—	—	—	—
2026	17	ROK MLE	DSL Rays	—	195	159	23	3	1	1	21	24	13	8	3	145	305	195	500	50	148	12	11	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	16	ROK MLE	DSL Rays	—	99	82	16	4	0	0	9	6	8	6	1	195	340	244	584	49	206	6	9	273	71	—	—	—	—	—	—
2026	17	ROK MLE	DSL Rays	—	195	159	23	3	1	1	21	24	13	8	3	145	305	195	500	50	148	12	11	226	39	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	TB	0%	305	270	64	11	2	2	25	63	7	6	1	239	320	322	642	84	300	21	8	294	85	-5	+1	+0	+5	+7	0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	TB	43%	154	136	34	6	1	2	13	31	4	3	1	243	325	336	660	93	301	20	8	301	90	-2	+0	+0	+3	+3	0.5
2029	20	MLB MLE	TB	61%	266	235	58	10	2	3	22	54	7	6	2	245	328	347	675	101	302	20	8	307	94	-2	+0	+0	+5	+6	0.9
2030	21	MLB MLE	TB	68%	383	338	84	14	3	6	32	77	10	9	3	248	330	356	686	108	303	20	8	311	97	-1	+1	+0	+7	+8	1.5
2031	22	MLB MLE	TB	71%	445	394	98	17	3	7	37	90	11	10	4	249	332	363	695	114	303	20	8	315	99	-1	+0	+0	+8	+10	1.8
2032	23	MLB MLE	TB	72%	445	393	99	17	3	8	38	90	11	10	4	250	332	369	701	118	303	20	9	317	101	+0	+0	+0	+8	+10	1.9
2033	24	MLB MLE	TB	72%	445	393	99	17	3	8	38	90	11	10	3	252	333	371	705	120	304	20	9	318	102	+1	+1	+0	+8	+10	2.0
2034	25	MLB MLE	TB	71%	445	393	99	17	3	8	38	90	11	10	3	252	334	373	706	121	304	20	9	319	102	+1	+1	+0	+8	+10	2.0
2035	26	MLB MLE	TB	71%	445	393	99	17	3	8	38	90	11	10	4	252	334	373	707	121	304	20	9	319	102	+1	+0	+0	+8	+10	1.9
2036	27	MLB MLE	TB	70%	445	393	99	17	3	8	38	90	11	10	4	251	333	370	703	120	303	20	9	318	101	+1	+0	+0	+8	+10	1.9
2037	28	MLB MLE	TB	69%	445	394	98	17	3	8	38	91	10	9	4	249	331	365	696	117	303	20	9	315	99	-0	+0	-1	+8	+10	1.7
2038	29	MLB MLE	TB	67%	445	394	97	17	3	7	38	92	10	8	4	247	328	359	687	112	302	21	9	311	97	-2	+0	-1	+8	+10	1.5
2039	30	MLB MLE	TB	66%	445	395	96	16	3	7	37	94	10	8	4	244	325	351	676	108	300	21	8	307	94	-3	+0	-2	+8	+10	1.2
2040	31	MLB MLE	TB	65%	426	378	90	15	2	6	35	91	10	7	5	240	320	341	661	102	298	21	8	301	90	-5	-1	-3	+8	+9	0.8
2041	32	MLB MLE	TB	65%	407	362	85	14	2	5	33	89	9	6	7	235	314	329	643	94	294	22	8	294	85	-7	-2	-4	+7	+9	0.4
2042	33	MLB MLE	TB	65%	387	345	78	12	2	4	31	87	8	5	12	228	307	314	621	86	290	22	8	285	79	-10	-4	-4	+7	+8	-0.3
2028	19	MLB CTX	TB	43%	66	59	15	2	1	1	5	13	2	1	0	245	327	337	665	92	305	20	8	303	90	-1	+0	+0	+1	+1	0.2
2029	20	MLB CTX	TB	61%	162	144	35	6	1	2	13	33	4	4	1	248	331	348	679	100	306	20	8	309	94	-1	+0	+0	+3	+4	0.6
2030	21	MLB CTX	TB	68%	261	230	58	10	2	4	22	53	7	6	2	250	333	357	690	107	307	20	8	313	97	-1	+0	+0	+5	+6	1.0
2031	22	MLB CTX	TB	71%	316	278	70	12	2	5	27	64	8	7	2	252	334	364	698	112	307	20	9	316	99	-0	+1	+0	+6	+7	1.3
2032	23	MLB CTX	TB	72%	322	284	71	12	2	5	27	65	8	7	3	253	335	370	704	117	307	20	8	318	101	+0	+0	+0	+6	+7	1.3
2033	24	MLB CTX	TB	72%	318	280	72	12	2	6	27	64	8	7	2	254	336	372	708	118	308	20	8	320	102	+1	+1	+0	+6	+7	1.4
2034	25	MLB CTX	TB	71%	317	279	71	12	2	6	27	64	8	7	2	254	336	373	709	119	308	20	9	320	102	+1	+1	+0	+6	+7	1.4
2035	26	MLB CTX	TB	71%	316	278	71	12	2	6	27	64	8	7	3	254	336	374	710	119	308	20	9	320	102	+1	+0	+0	+6	+7	1.4
2036	27	MLB CTX	TB	70%	310	274	69	12	2	5	26	63	7	7	2	253	335	371	706	118	307	20	8	319	101	+0	+1	+0	+6	+7	1.4
2037	28	MLB CTX	TB	69%	306	270	67	11	2	5	26	63	7	6	2	252	333	366	699	115	307	21	8	316	99	-0	+0	-0	+5	+7	1.2
2038	29	MLB CTX	TB	67%	298	264	66	11	2	5	25	62	7	6	3	249	331	360	691	111	306	21	8	313	97	-1	+0	-1	+5	+6	1.0
2039	30	MLB CTX	TB	66%	293	260	63	10	2	4	24	62	7	5	3	246	327	352	679	106	304	21	8	308	94	-2	-0	-1	+5	+6	0.8
2040	31	MLB CTX	TB	65%	278	247	61	10	2	4	23	60	6	4	3	242	322	342	665	100	302	22	8	302	90	-3	-0	-2	+5	+6	0.5
2041	32	MLB CTX	TB	65%	264	235	56	9	2	3	21	58	6	4	5	237	317	330	647	93	298	22	8	295	85	-5	-1	-2	+5	+6	0.2
2042	33	MLB CTX	TB	65%	250	223	52	8	1	3	20	56	5	3	8	231	309	316	625	85	294	22	8	286	79	-6	-3	-3	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4077	3605	897	149	27	64	340	844	98	81	41	249	330	358	689	110	306	21	8	312	94	-19	-0	-10	+73	+88	13.5
/ 162G	—	A+C		—	650	575	143	24	4	10	54	135	16	13	7	249	330	357	687	108	307	21	8	312	94	-3	-0	-2	+12	+14	2.2
Career	—	MLE		—	6424	5660	1374	234	41	97	544	1297	167	137	68	243	327	350	677	107	297	20	8	307	94	-31	-1	-15	+109	+133	19.9
/ 162G	—	MLE		—	650	573	139	24	4	10	55	131	17	14	7	243	328	351	678	108	296	20	8	307	94	-3	-0	-2	+12	+14	2.1

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 DSLDSL Rays · 195 PAwOBA .312 → .226 (−85)K% 10.3% → 12.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.26%	÷1.000	×1.220	—	—	12.51%
BB% (unintentional) /PA	15.38%	÷1.000	×0.700	—	×1.008	10.85%
HBP% /PA	6.67%	—	×0.700	—	×1.008	4.70%
Singles /BIP	18.70%	÷1.000	×0.680	×1.008	×1.008	12.91%
Doubles /BIP	3.25%	÷1.000	×0.600	×1.008	×1.008	1.98%
Triples /BIP	0.81%	÷1.000	×0.600	×1.008	×1.008	0.50%
Home runs /BIP	0.81%	÷1.000	×0.470	—	×1.008	0.38%

Factors used: level-wide DSL 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 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.008.

Result: wOBA .312 → .226; ISO .063 → .040; BABIP .219 → .148. 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 DSLDSL Rays · 99 PAwOBA .365 → .273 (−92)K% 5.1% → 6.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	5.05%	÷1.003	×1.220	—	—	6.14%
BB% (unintentional) /PA	13.13%	÷1.020	×0.700	—	×1.022	9.21%
HBP% /PA	8.08%	—	×0.700	—	×1.022	5.78%
Singles /BIP	21.13%	÷0.985	×0.680	×1.046	×1.022	15.61%
Doubles /BIP	8.45%	÷0.989	×0.600	×1.046	×1.022	5.48%
Triples /BIP	0.00%	÷1.150	×0.600	×1.046	×1.022	0.00%
Home runs /BIP	0.00%	÷1.022	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 104, 1B 97, 2B 98, 3B 130, K 101, BB 104 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.046.

Result: wOBA .365 → .273; ISO .079 → .056; BABIP .288 → .206. 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
#1Jim Sundberg'74-'89 * career totals — 16 seasons, 6,898 PA	10.4	6,898	95	20	245*	327*	371*	+123	+0	27.4	24.2
/162	664	9	2	+11.8	+0.0	2.6	pk7: 21
#2Butch Wynegar'76-'88 * career totals — 13 seasons, 5,067 PA	7.6	5,067	65	10	250*	349*	368*	+86	-0	23.4	21.6
/162	664	9	1	+11.2	-0.0	3.1	pk7: 20
#3Yorvit Torrealbalast yr '13 career totals — 12 seasons, 3,179 PA	4.8	3,179	56	19	256	314	379	+53	+79	20.2	18.4
/162	664	12	4	+11.1	+16.6	4.2	pk7: 17
#4Johnny Edwards'61-'74 * career totals — 14 seasons, 5,132 PA	7.7	5,132	81	15	240*	313*	380*	+92	+0	16.7	16.2
/162	664	10	2	+11.9	+0.0	2.2	pk7: 16
#5Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 11 projected seasons	6.3	4,178	66	83	247	325	358	+75	+44	17.0	13.9
/162	664	10	13	+11.9	+7.0	2.7	pk7: 11
#6Omar Narváezlast yr '24 career totals — 9 seasons, 2,298 PA	3.5	2,298	53	0	251	334	374	+41	+15	12.6	12.9
/162	664	15	0	+11.9	+4.3	3.6	pk7: 13

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
Santiago Figueroa (OGILVIE)	18	74→79	29→34	51→56	62	237/317/320	83	300	1	2	21%	8%	85	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Rubén Tejada 2008 · A	18	51→61	38→40	51→50	50	240/318/319	79	291	5	13	18%	8%	85	+0.2	237/292/307	70	286	3	9	17%	6%	72	-0.7	264/320/329	64	312	2	6	15%	6%	86	+0.3
✕Ronald Torreyes 2011 · A	18	57→59	42→45	52→50	47	268/318/394	126	285	6	14	9%	4%	101	+1.4	271/315/368	97	293	5	11	9%	4%	94	+0.9	271/315/361	90	292	4	9	8%	4%	89	+0.4
●Jose Tabata 2007 · A	18	54→62	41→45	51→55	44	257/313/356	99	323	8	16	22%	6%	91	+0.6	271/321/361	90	336	7	14	20%	5%	95	+0.9	284/341/385	101	328	6	26	14%	7%	107	+1.5
●Xavier Edwards 2019 · A	19	53→63	37→40	56→60	50	245/308/320	75	309	3	18	21%	8%	80	-0.2	257/303/319	62	306	1	19	15%	6%	77	-0.3	308/366/390	82	353	4	36	13%	8%	116	+2.2
●Elvis Andrus 2007 · A	18	50→60	38→50	47→60	42	237/283/320	84	312	5	14	25%	6%	71	-0.8	249/302/329	80	321	5	29	22%	6%	80	-0.1	276/328/411	135	308	11	19	14%	7%	107	+1.7
●Franklin Arias 2024 · A	18	48→58	37→50	46→50	52	223/290/295	72	258	3	6	15%	8%	68	-1.0	246/303/362	116	293	11	14	19%	7%	88	+0.5	260/316/394	134	300	15	13	18%	6%	99	+1.0
●Luis Urías 2015 · A	18	51→61	35→55	47→45	50	235/295/291	56	272	2	11	14%	7%	69	-0.9	274/334/346	72	311	4	8	12%	6%	96	+1.0	281/352/379	98	336	6	5	17%	8%	107	+1.7
●Iván De Jesús Jr. 2007 · A	20	53→63	34→45	48→50	47	248/304/297	49	320	2	10	22%	7%	74	-0.6	274/337/354	80	338	5	10	19%	8%	99	+1.2	278/333/361	83	336	5	9	18%	7%	97	+1.0
●Chance Sisco 2014 · A	19	54→64	38→50	47→40	47	247/319/327	80	341	5	6	27%	8%	86	+0.3	281/335/373	92	363	6	4	22%	7%	102	+1.5	296/352/391	94	378	6	3	22%	7%	110	+1.5
✕Ke'Bryan Hayes 2016 · A	19	51→57	35→50	51→50	48	237/305/292	56	305	2	9	22%	7%	73	-0.6	238/293/326	88	307	6	12	23%	6%	76	-0.4	255/311/393	138	311	13	16	21%	7%	99	+1.0
●Alcides Escobar 2006 · A	19	52→62	37→45	53→55	38	244/272/326	82	309	3	16	22%	3%	68	-1.0	262/289/332	70	325	3	20	20%	3%	75	-0.5	292/321/371	79	349	4	27	17%	3%	93	+0.8
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
✕Euribiel Angeles 2022 · A	20	56→62	39→40	51→50	44	263/313/353	91	333	5	13	22%	6%	90	+0.6	245/277/329	84	298	6	13	19%	4%	70	-0.8	243/278/327	84	280	6	17	15%	4%	67	-0.9
✕Demetrio Crisantes 2024 · A	19	48→58	38→50	46→55	43	227/284/313	85	310	5	7	27%	6%	70	-0.9	250/317/366	116	315	9	13	22%	8%	95	+0.9	258/328/389	130	318	10	12	21%	8%	102	+0.8
✕Juan Fernandez 2017 · A	18	48→58	37→40	45→50	52	224/309/297	73	285	4	5	21%	9%	76	-0.4	212/273/299	87	269	6	4	22%	6%	63	-1.4	239/301/321	82	296	8	9	21%	6%	75	-0.3
●Ozzie Albies 2015 · A	18	58→62	36→60	55	51	271/332/343	72	321	3	18	16%	7%	94	+0.9	270/316/368	98	332	4	20	19%	6%	94	+0.9	273/321/453	180	310	18	16	18%	6%	116	+2.9
✕Jesus Fabela 2015 · AAA	20	58→63	39→40	55→50	47	267/340/359	92	346	4	16	22%	7%	101	+1.4	261/325/348	87	335	5	14	22%	6%	93	+0.8	273/339/361	88	334	7	11	19%	6%	99	+0.7
✕Orlando Arcia 2015 · A	20	53→59	38→50	52→55	46	251/295/341	89	294	5	18	16%	6%	80	-0.2	254/292/370	116	306	8	18	19%	5%	85	+0.2	243/304/399	156	273	20	3	19%	7%	98	+0.8
●Eduardo Quintero 2024 · A	18	46→54	40→45	58→60	53	216/306/324	108	273	5	19	21%	10%	82	-0.0	225/320/342	117	312	9	25	28%	11%	91	+0.7	231/334/361	130	321	12	30	28%	12%	99	+1.0
✕Cristofer Torin 2023 · A	18	47→55	35→40	53→50	61	215/316/281	66	255	2	19	15%	12%	76	-0.4	225/306/299	74	281	5	14	20%	10%	76	-0.4	243/315/341	98	290	8	10	18%	9%	86	+0.3

Santiago Figueroa

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps