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Jocelyn Flores xplay.gg — CS2 Stats

76561199487757326[U:1:1527491598]

348Tracked matches33%Win rate2024Tracked since
CSDB Rating5.2 DevelopingAggressive Rifler
FaceitLevel 7 · 1,443 ELOTop 42.3% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGJocelyn Flores xplay.ggFACEITLevel 7 · 1,443 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim88
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateLLWLWWLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.8
Aggression8.3
Utility3.6
Positioning5.3
Opening Duels3.4
Clutch3.8

Sharp aimerStrong CT-side openerLimited utility dependence

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 553ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim8.8
Positioning5.3
Utility3.6
Mechanics7.7
Opening Duels3.4
Win Impact0.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time558ms+11ms
first ⅓ avg 546ms → last ⅓ avg 558ms
Headshot accuracy34.8%+6.0%
first ⅓ avg 28.8% → last ⅓ avg 34.8%

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

0.20Best rating — inferno 9–2
13–1Biggest win — inferno
9Longest win streak
L2Current streak
4–5In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 70% over 20infernoWeakest map · 43% over 61
MapGradePlayedRecordWin rateAvg rating
infernoC6126–3543%-0.00
dust2S2014–670%0.02
mirageB179–853%0.03
anubis—11–0100%-0.01
train—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 61). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

265Matches
51%Win rate
1.21Avg K/D
83.7ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10359%1.3517.4
Dust27347%1.2116.2
Ancient3534%1.0615.6
Inferno1867%1.0515.4
Anubis1362%1.2819.2
Nuke1030%0.9313.5
Train757%1.0417.9
Overpass30%0.7512.3

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.

35.1%Headshot accuracy
31.2%Accuracy (enemy spotted)
31.5%Spray accuracy
84.7%Counter-strafing
8.0°Preaim
553msReaction time
35.5%T opening success
52.1%CT opening success
0.56Enemies flashed / flash
3.0%Flash assists
10.03HE damage / grenade
3.57Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.5709 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 35.4543% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 61 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0831%23 Aug →
inferno3–13-0.0255%19 Aug →
inferno13–9-0.0220%17 Aug →
inferno2–130.0340%16 Aug →
anubis13–8-0.0127%15 Aug →
inferno13–10.1134%8 Aug →
inferno4–13-0.0420%6 Aug →
inferno13–10.05100%6 Aug →
inferno3–13-0.0750%4 Aug →
inferno13–20.0725%4 Aug →
inferno6–130.0142%27 Jul →
inferno11–130.0532%24 Jul →
inferno13–110.0631%24 Jul →
inferno5–13-0.0825%16 Jul →
inferno6–13-0.0133%16 Jul →
inferno5–13-0.0919%15 Jul →
inferno13–80.0239%14 Jul →
inferno5–13-0.0036%14 Jul →
inferno11–130.0438%14 Jul →
inferno11–130.0334%14 Jul →
inferno2–100.0229%14 Jul →
inferno3–13-0.0423%14 Jul →
inferno13–60.1127%13 Jul →
inferno13–9-0.0136%11 Jul →
inferno13–60.1336%11 Jul →
inferno10–130.0144%4 Jul →
inferno6–130.0615%2 Jul →
inferno6–130.0937%2 Jul →
inferno3–13-0.0442%2 Jul →
inferno5–13-0.0538%2 Jul →
inferno13–80.0627%30 Jun →
inferno13–60.0327%30 Jun →
inferno13–9-0.0634%28 Jun →
inferno5–13-0.0033%24 Jun →
inferno0–10-0.0521%16 Jun →
dust213–30.0334%14 Jun →
dust25–130.0141%13 Jun →
dust213–30.0836%13 Jun →
dust213–10-0.0726%13 Jun →
dust23–13-0.0637%10 Jun →
mirage12–12-0.0341%8 Jun →
mirage13–100.0621%8 Jun →
mirage7–13-0.0426%8 Jun →
mirage13–100.0431%8 Jun →
mirage13–70.0445%7 Jun →
mirage5–13-0.0330%4 Jun →
mirage0–6-0.0033%4 Jun →
mirage13–110.0428%29 May →
mirage13–90.0236%27 May →
dust23–0-0.0117%23 May →
inferno8–130.0521%1 May →
mirage4–11-0.0117%17 Apr →
mirage13–30.1728%10 Apr →
mirage13–100.1426%25 Mar →
inferno13–100.0534%19 Mar →
mirage4–130.0734%19 Mar →
mirage1–13-0.107%7 Mar →
mirage13–20.0255%25 Feb →
dust213–100.0830%13 Feb →
mirage13–110.0417%12 Feb →
mirage9–130.0148%10 Feb →
train13–70.0027%28 Jan →
dust24–13-0.0817%31 Dec →
dust213–80.0338%31 Dec →
dust22–130.0215%29 Dec →
dust27–13-0.0236%29 Dec →
dust213–100.0725%29 Dec →
dust213–60.0923%29 Dec →
dust213–20.0422%29 Dec →
dust213–30.0934%29 Dec →
dust23–130.0323%29 Dec →
dust213–10-0.0033%29 Dec →
dust213–70.0633%29 Dec →
dust213–9-0.0436%29 Dec →
dust213–10.1325%29 Dec →
inferno9–20.0760%28 Dec →
inferno9–30.1217%28 Dec →
inferno9–20.2025%28 Dec →
inferno9–2-0.0337%28 Dec →
inferno9–10.1317%28 Dec →
inferno7–9-0.0322%28 Dec →
inferno6–9-0.0643%28 Dec →
inferno4–9-0.1329%28 Dec →
inferno9–70.0327%28 Dec →
inferno9–3-0.160%28 Dec →
inferno8–8-0.0121%28 Dec →
inferno6–90.1030%28 Dec →
inferno3–9-0.1450%28 Dec →
inferno9–1-0.0243%28 Dec →
inferno9–40.1023%28 Dec →
inferno9–40.0721%28 Dec →
inferno9–0-0.020%28 Dec →
inferno3–9-0.1615%28 Dec →
inferno1–9-0.1943%28 Dec →
inferno7–90.0533%28 Dec →
inferno9–4-0.210%28 Dec →
inferno8–8-0.0330%26 Dec →
inferno0–9-0.2925%26 Dec →
inferno2–9-0.1660%26 Dec →
inferno9–40.1650%26 Dec →

Match data via Leetify.

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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