S — CS2 Stats

76561198200994458[U:1:240728730]✓ No bans

369Tracked matches50%Win rate2025Tracked since
CSDB Rating4.0 DevelopingClutch Specialist
Premier CS Rating9,684Light Blue band · top ~56.4% of ranked players (population est.)
CSDB Leaderboard#12285 of 16622 tracked
FaceitLevel 2 · 513 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSFACEITLevel 2 · 513 ELOSTANDINGTop 97.9% of rankedPREMIER9,684 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning42
Utility9

0–100 skill scores via Leetify.

Recent form

STEADY50455Last 10050%Win rateWLWWLLLLWL

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

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.4
Aggression5.0
Utility0.9
Positioning4.2
Opening Duels0.9
Clutch8.0

Limited utility dependenceReliable in 1v1s

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 77% playstyle similarity

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

Where you differ: lower aim 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

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

Reaction time. 637ms 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

Aim6.4
Positioning4.2
Utility0.9
Mechanics6.4
Opening Duels0.9
Win Impact5.0

Composite 4.0/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time643ms+21ms
first ⅓ avg 623ms → last ⅓ avg 643ms
Headshot accuracy14.6%+2.6%
first ⅓ avg 12.0% → last ⅓ avg 14.6%

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

0.21Best rating — ancient 13–0
130Biggest win — ancient
5Longest win streak
86In matches decided by ≤2 rounds
16Overtime games

Map breakdown

overpassBest map · 71% over 7anubisWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
ancientA25151060%-0.01
anubisC1761135%-0.01
infernoB179853%-0.02
nukeC146843%-0.01
mirageC125742%-0.03
dust2A74357%0.01
overpassS75271%-0.03
cache1010%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches
22%Win rate
0.65Avg K/D
61.3ADR
38%Headshot %

Clutches & streaks

60%1v1 clutch win
14%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno90%0.467.1
Mirage729%0.8213.9
Dust2617%0.699.7
Nuke520%0.6811.0
Ancient450%0.6810.0
Overpass1100%0.6716.0

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.

13.8%Headshot accuracy
35.9%Accuracy (enemy spotted)
36.9%Spray accuracy
78.6%Counter-strafing
8.8°Preaim
637msReaction time
29.8%T opening success
37.1%CT opening success
0.07Enemies flashed / flash
2.7%Flash assists
3.98HE damage / grenade
0.16Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.8063% — below the 15% mark we flag

    Aim Training
  2. 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 0.0738 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 29.8298% — below the 40% mark we flag

Spend your practice time on Anubis

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–60.0130%28 Aug
nuke4–13-0.073%28 Aug
ancient13–9-0.0110%28 Aug
anubis13–50.0813%28 Aug
ancient7–13-0.0210%26 Aug
mirage6–13-0.0715%26 Aug
mirage4–13-0.046%25 Aug
ancient8–13-0.0418%25 Aug
inferno13–70.0111%24 Aug
ancient7–13-0.0715%24 Aug
ancient7–13-0.0716%21 Aug
anubis13–10-0.0613%21 Aug
ancient8–13-0.0717%21 Aug
mirage13–11-0.0012%17 Aug
nuke6–13-0.0112%17 Aug
inferno13–9-0.0220%17 Aug
anubis10–13-0.0319%14 Aug
nuke14–16-0.055%14 Aug
ancient13–60.0110%14 Aug
nuke13–6-0.0315%11 Aug
mirage13–16-0.0713%11 Aug
dust213–40.0414%11 Aug
dust213–9-0.0337%10 Aug
mirage12–16-0.037%6 Aug
inferno13–60.0212%6 Aug
nuke8–13-0.0319%31 Jul
mirage16–14-0.0211%31 Jul
inferno8–130.0012%31 Jul
ancient13–9-0.0019%29 Jul
nuke13–110.027%29 Jul
inferno13–100.0615%29 Jul
ancient13–00.2131%13 Jul
ancient13–70.0018%10 Jul
cache11–13-0.0515%10 Jul
nuke9–13-0.0118%6 Jul
anubis13–9-0.0214%6 Jul
mirage16–130.0216%3 Jul
anubis5–130.006%3 Jul
ancient13–70.018%3 Jul
nuke16–130.008%3 Jul
inferno13–10-0.0214%1 Jul
overpass13–10-0.038%1 Jul
anubis10–130.0110%30 Jun
overpass13–90.0614%30 Jun
anubis11–130.0113%30 Jun
inferno10–13-0.085%27 Jun
nuke13–60.029%27 Jun
ancient13–50.029%27 Jun
inferno9–4-0.0310%25 Jun
dust27–130.0114%25 Jun
ancient13–10-0.0212%25 Jun
nuke8–2-0.024%25 Jun
anubis12–160.0018%23 Jun
inferno10–13-0.095%23 Jun
dust213–70.0420%20 Jun
ancient13–50.0513%20 Jun
nuke13–11-0.0118%20 Jun
inferno7–13-0.066%20 Jun
mirage4–13-0.0218%20 Jun
ancient3–13-0.0320%20 Jun
mirage13–11-0.049%8 Jun
ancient13–8-0.0213%8 Jun
inferno13–10-0.0310%8 Jun
dust29–130.0117%8 Jun
anubis13–70.035%8 Jun
ancient13–50.0120%6 Jun
inferno4–13-0.0719%5 Jun
ancient16–14-0.0213%5 Jun
overpass9–13-0.0014%5 Jun
inferno13–70.0013%5 Jun
ancient14–16-0.049%3 Jun
anubis14–16-0.0410%3 Jun
overpass13–5-0.0514%1 Jun
ancient13–90.0213%1 Jun
anubis7–3-0.0113%1 Jun
inferno9–130.0212%1 Jun
nuke9–13-0.0011%1 Jun
inferno9–13-0.0315%1 Jun
ancient15–15-0.0114%1 Jun
dust27–13-0.0611%1 Jun
anubis5–13-0.0311%1 Jun
mirage15–15-0.0212%29 May
inferno15–150.028%26 May
overpass7–13-0.0917%26 May
nuke8–13-0.0419%26 May
anubis9–13-0.0619%26 May
anubis15–150.018%19 May
mirage8–13-0.0512%19 May
ancient13–6-0.0316%19 May
overpass13–11-0.0514%16 May
ancient13–16-0.0213%15 May
ancient11–13-0.0013%13 May
anubis13–100.0211%13 May
ancient13–8-0.0314%13 May
anubis8–13-0.085%13 May
anubis15–15-0.0210%9 May
inferno13–7-0.034%9 May
overpass13–11-0.068%9 May
nuke10–130.0611%9 May
mirage13–10-0.0412%8 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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