JayGarcia

JayGarcia — CS2 Stats

IS76561198060440455[U:1:100174727]Steam profile ↗VAC banned

5,591Tracked matches53%Win rate2020Tracked since
6,161Hours in CS
CSDB Rating6.2 SolidAggressive Rifler
Premier CS Rating25,866Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#2994 of 32783 tracked
FaceitLevel 9 · 2,141 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate51.4%49.0%52.0%meets
Shot accuracy10.5%13.1%13.7%3.2% short
Kill/death ratio1.041.081.080.04 short
Match win rate46.2%46.9%48.8%2.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJayGarciaFACEITLevel 9 · 2,141 ELOSTANDINGTop 20.7% of rankedPREMIER25,866 · Red bandcsdb.gg/stats

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Performance scores

Aim73
Positioning63
Utility56

0–100 skill scores via Leetify.

Recent form

HOT50491Last 10050%Win rateLWLWWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.3
Aggression8.7
Utility5.6
Positioning6.3
Opening Duels3.6
Clutch3.8

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 57% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.3
Positioning6.3
Utility5.6
Mechanics4.5
Opening Duels3.6
Win Impact6.1

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.03
first ⅓ avg -0.00 → last ⅓ avg 0.03
Reaction time527ms−15ms
first ⅓ avg 542ms → last ⅓ avg 527ms
Headshot accuracy26.3%+3.8%
first ⅓ avg 22.4% → last ⅓ avg 26.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.18Best rating — italy 13–5
130Biggest win — anubis
5Longest win streak
76In matches decided by ≤2 rounds
6Overtime games

Map breakdown

italyBest map · 100% over 5ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2D1551033%-0.02
nukeA148657%0.01
anubisB137654%0.01
infernoD123925%0.02
vertigoS97278%0.07
ancientD92722%0.02
cacheS96367%-0.01
mirageD72529%0.00
italyS550100%0.08
trainS54180%0.03
boulder1010%-0.11
shelter110100%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

210,763Lifetime kills
1.04K/D
10,617Matches
46.2%Match win rate
51.4%Headshot % · Top 50% of Level 9 players
10.5%Shot accuracy
27,187MVPs
6,161Hours (in match)
10,411Bombs planted
2,578Bombs defused

Most-used weapons

AK-4769,182
AWP20,177
Knife5,370
SSG 084,749
MP93,737

Lifetime map wins

14,420inferno
10,585vertigo
10,101nuke
9,519dust2
3,296train
1,487office
816cbble
436italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,630Matches
49%Win rate
1.05Avg K/D
83.0ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis53249%1.0516.2
Mirage42846%0.9415.4
Nuke40151%1.1016.6
Ancient38448%1.0816.9
Inferno31842%0.9916.0
Vertigo26659%1.1216.4
Dust225342%0.9714.8
Train14759%1.2218.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.6%Spray accuracy
70.2%Counter-strafing
11.0°Preaim
528msReaction time
32.5%T opening success
56.5%CT opening success
0.60Enemies flashed / flash
8.1%Flash assists
9.84HE damage / grenade
7.59Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.4764% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0523%28 Aug
vertigo13–80.0428%28 Aug
ancient8–130.0520%27 Aug
italy13–50.1824%27 Aug
italy13–40.1034%27 Aug
ancient10–130.0414%26 Aug
italy13–50.0530%26 Aug
nuke13–90.0115%24 Aug
cache16–14-0.0023%24 Aug
italy13–90.0619%24 Aug
italy13–9-0.0020%24 Aug
dust20–13-0.1350%24 Aug
inferno10–13-0.0513%24 Aug
ancient9–130.0422%24 Aug
mirage13–10.0026%24 Aug
nuke13–9-0.0527%23 Aug
ancient13–90.0432%23 Aug
mirage10–130.0729%23 Aug
anubis9–130.0216%23 Aug
vertigo13–40.0729%21 Aug
inferno12–160.0417%21 Aug
dust211–130.0142%20 Aug
vertigo9–130.0622%19 Aug
nuke11–130.0327%19 Aug
inferno13–160.0323%18 Aug
nuke13–100.0929%18 Aug
inferno13–70.1731%17 Aug
vertigo13–80.0637%17 Aug
dust22–13-0.0844%17 Aug
cache13–10.0331%16 Aug
nuke9–130.0425%16 Aug
anubis13–110.0231%16 Aug
anubis16–14-0.0313%15 Aug
nuke13–7-0.0124%15 Aug
anubis13–30.0320%15 Aug
inferno9–13-0.0518%14 Aug
anubis11–130.0321%14 Aug
dust29–130.0345%13 Aug
nuke13–70.0233%13 Aug
inferno14–16-0.0022%13 Aug
cache13–30.0224%13 Aug
dust26–130.0330%13 Aug
train13–100.0421%12 Aug
train13–20.0540%12 Aug
train13–70.0018%12 Aug
train13–10.0933%12 Aug
train5–13-0.0117%12 Aug
nuke4–130.0033%12 Aug
ancient5–13-0.0523%12 Aug
nuke9–13-0.0321%12 Aug
inferno13–50.0925%12 Aug
mirage2–13-0.0522%11 Aug
nuke4–13-0.0024%11 Aug
vertigo16–140.1032%11 Aug
anubis13–100.0533%10 Aug
mirage7–130.0120%10 Aug
vertigo13–20.1616%10 Aug
inferno3–9-0.0333%8 Aug
dust212–120.0024%8 Aug
dust21–13-0.0635%8 Aug
cache9–13-0.0220%7 Aug
nuke13–110.0728%7 Aug
dust213–70.050%7 Aug
vertigo13–70.0421%7 Aug
inferno9–130.0218%6 Aug
mirage13–80.0726%30 Jul
cache7–13-0.0818%29 Jul
dust24–130.0223%29 Jul
vertigo13–110.0722%29 Jul
dust213–40.0517%28 Jul
anubis0–13-0.040%28 Jul
mirage10–13-0.0618%26 Jul
boulder2–13-0.11100%26 Jul
cache13–2-0.0613%26 Jul
anubis13–7-0.0217%26 Jul
anubis13–1-0.010%26 Jul
ancient3–13-0.0711%26 Jul
dust26–13-0.1320%26 Jul
vertigo6–130.0723%25 Jul
nuke13–110.0116%24 Jul
anubis5–130.0029%24 Jul
cache8–130.0113%24 Jul
nuke13–3-0.0335%24 Jul
shelter13–20.0833%24 Jul
anubis13–00.0539%23 Jul
nuke5–13-0.0621%22 Jul
mirage10–13-0.0222%22 Jul
inferno4–130.0523%20 Jul
anubis6–130.0417%20 Jul
cache13–100.0731%20 Jul
dust213–8-0.0232%19 Jul
dust24–00.000%19 Jul
dust213–9-0.0729%18 Jul
cache13–2-0.0725%18 Jul
inferno0–4-0.060%18 Jul
inferno13–100.0619%18 Jul
ancient11–130.0926%17 Jul
ancient11–130.0119%17 Jul
dust21–130.0040%17 Jul
ancient13–60.0810%17 Jul

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →