Xlopch1k — CS2 Stats

76561198052783939[U:1:92518211]

826Tracked matches50%Win rate2020Tracked since
6,041Hours in CS
CSDB Rating5.2 DevelopingHybrid Rifler
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGXlopch1kFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning39
Utility30

0–100 skill scores via Leetify.

Recent form

COLD45505Last 10045%Win rateWLLLWLTLLW

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.5
Aggression5.0
Utility3.0
Positioning3.9
Opening Duels1.5

Strong 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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Positioning. Positioning trails aim by 36 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 45% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim7.5
Positioning3.9
Utility3.0
Mechanics7.0
Opening Duels1.9
Win Impact5.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time571ms−42ms
first ⅓ avg 613ms → last ⅓ avg 571ms
Headshot accuracy17.6%−2.9%
first ⅓ avg 20.5% → last ⅓ avg 17.6%

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 — mirage 13–1
131Biggest win — mirage
6Longest win streak
66In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 60% over 10infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientC25101540%0.01
mirageB20101050%-0.00
dust2C1981142%0.01
infernoD124833%-0.01
anubisA106460%-0.01
nukeA95456%-0.02
overpass31233%-0.02
cache21150%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

254,090Lifetime kills
0.63K/D
9,689Matches
42.1%Match win rate
43.3%Headshot %
15.3%Shot accuracy · Top 50% of tracked players
17,122MVPs
6,041Hours (in match)
6,498Bombs planted
2,411Bombs defused

Most-used weapons

AK-47109,913
AWP42,386
P2504,575
MP93,161
UMP-453,069
SG 5533,064

Lifetime map wins

16,307dust2
14,066inferno
3,985vertigo
2,556train
2,401nuke
680cbble
99office
80dust

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

Faceit stats

Combat

556Matches
53%Win rate
1.00Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWWL

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.

17.7%Headshot accuracy
36.2%Accuracy (enemy spotted)
37.9%Spray accuracy
81.7%Counter-strafing
10.3°Preaim
555msReaction time
27.0%T opening success
45.3%CT opening success
0.46Enemies flashed / flash
1.6%Flash assists
7.57HE damage / grenade
3.60Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4575 — below the 0.5 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 26.9862% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–9-0.0011%27 Aug
dust22–13-0.0632%20 Aug
ancient9–13-0.0810%20 Aug
dust23–13-0.0319%15 Aug
mirage13–1-0.0218%15 Aug
cache11–130.0515%13 Aug
anubis15–15-0.0211%13 Aug
dust210–13-0.039%13 Aug
ancient6–13-0.0618%12 Aug
nuke13–8-0.0228%11 Aug
anubis13–10-0.0322%11 Aug
anubis13–4-0.0315%11 Aug
cache13–10-0.0315%11 Aug
mirage9–13-0.0215%24 Jun
anubis7–13-0.026%24 Jun
ancient13–90.0815%10 Jun
mirage5–13-0.0128%9 Jun
dust213–60.0218%9 Jun
ancient13–60.1221%9 Jun
ancient7–130.0616%9 Jun
inferno13–16-0.0118%8 Jun
anubis15–150.0227%8 Jun
ancient16–120.0011%8 Jun
mirage4–13-0.077%21 May
anubis13–6-0.0317%21 May
dust213–6-0.0221%21 May
inferno5–13-0.0811%3 Apr
inferno6–130.0228%2 Apr
inferno13–10-0.0136%1 Apr
mirage13–10.1815%1 Apr
ancient13–9-0.018%1 Apr
nuke13–20.0521%31 Mar
anubis4–13-0.0616%30 Mar
ancient11–130.0516%26 Mar
dust212–160.0228%26 Mar
mirage7–13-0.0326%25 Mar
mirage13–90.0631%24 Mar
nuke16–14-0.0123%24 Mar
ancient10–13-0.0114%21 Mar
mirage1–13-0.0539%20 Mar
ancient16–13-0.0314%20 Mar
mirage13–8-0.0115%19 Mar
ancient11–130.0213%18 Mar
inferno7–13-0.0321%17 Mar
dust213–110.0627%17 Mar
dust28–13-0.0333%17 Mar
inferno13–10-0.0021%16 Mar
dust26–130.0220%16 Mar
nuke3–13-0.054%16 Mar
ancient10–130.0318%15 Mar
mirage16–130.0114%14 Mar
mirage13–100.0218%14 Mar
inferno5–9-0.0319%14 Mar
anubis13–8-0.0212%14 Mar
nuke5–13-0.0919%4 Mar
inferno15–15-0.0019%4 Mar
dust211–13-0.0631%2 Mar
ancient2–13-0.0412%2 Mar
nuke0–2-0.030%2 Mar
ancient8–130.0319%26 Feb
mirage13–80.0020%25 Feb
mirage1–13-0.0814%25 Feb
ancient13–5-0.038%25 Feb
ancient13–110.0216%24 Feb
nuke13–5-0.0311%24 Feb
ancient7–13-0.0120%24 Feb
ancient5–13-0.088%24 Feb
mirage13–50.0116%22 Feb
anubis13–40.0226%22 Feb
ancient13–40.1119%22 Feb
dust213–10.0416%22 Feb
inferno16–120.0113%21 Feb
dust213–60.1429%21 Feb
mirage9–13-0.0325%21 Feb
mirage7–13-0.0412%20 Feb
overpass8–13-0.0429%20 Feb
mirage1–40.0050%20 Feb
inferno7–13-0.0514%19 Feb
overpass13–8-0.0023%19 Feb
dust210–130.0212%18 Feb
anubis13–80.0518%17 Feb
dust213–10-0.0133%16 Feb
overpass15–15-0.0215%16 Feb
ancient8–13-0.0615%16 Feb
dust213–110.0413%13 Feb
nuke16–140.0623%13 Feb
inferno13–50.0228%13 Feb
mirage16–130.0310%12 Feb
ancient13–100.0221%11 Feb
mirage10–130.0211%11 Feb
dust27–130.0322%10 Feb
ancient11–130.0219%9 Feb
dust215–15-0.0026%9 Feb
ancient7–130.0114%9 Feb
mirage13–50.0112%8 Feb
ancient7–13-0.0126%8 Feb
nuke6–13-0.0522%7 Feb
dust22–13-0.0521%7 Feb
inferno7–130.0230%7 Feb
dust213–110.0412%5 Feb

Match data via Leetify.

Recent teammates

Milestones

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