ⓡⓐⓢⓜⓤⓢ

ⓡⓐⓢⓜⓤⓢ — CS2 Stats

76561198402148683[U:1:441882955]Steam profile ↗✓ No bans

851Tracked matches47%Win rate2021Tracked since
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating11,315Blue band · top ~47.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 28 days played since 11 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,315 +2,656 11 Aug22 Sept · 27 days played
8,38912,359peak 12,35911 Aug22 Sept
12,359Peak Premier in tracked matches
28Days played since 2026-08-11

Premier CS Rating

  • 1,044 below peak (12,359)
  • +1,760 over 30 days · improving
  • Next: Purple band at 15,000 3,685 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-12
  • Light Blue band first seen 2026-09-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGⓡⓐⓢⓜⓤⓢFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,315 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim33
Positioning64
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateWWTLLLWWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · +1.8pp headshot accuracy · +12ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 221 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 584ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim3.3
Utility5.4
Positioning6.4
Opening Duels4.5
Clutch1.8

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 55% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 51% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning6.4
Utility5.4
Mechanics0.3
Opening Duels6.9
Win Impact3.9

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time599ms−5ms
first ⅓ avg 605ms → last ⅓ avg 599ms
Headshot accuracy13.8%+0.8%
first ⅓ avg 13.0% → last ⅓ avg 13.8%

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.

Personal bests

0.22Best match rating · 9–2 · inferno, 25 Aug
38%Best headshot accuracy · 13–6 · anubis, 29 Aug
438msFastest reaction time · 13–6 · nuke, 3 Sept
13–2Biggest win · mirage, 21 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
107In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 67% over 6cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoD3092130%-0.00
ancientA1911858%-0.01
nukeA169756%-0.01
anubisB105550%0.00
cacheD92722%-0.03
mirageS64267%-0.00
vertigoB63350%0.01
poseidon21150%0.07
debris110100%0.02
eldorado1010%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

29Matches
48%Win rate
0.72Avg K/D
67.2ADR
31%Headshot %

Clutches & streaks

29%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient1060%0.6811.6
Inferno956%0.7814.2
Nuke30%0.8914.3
Overpass250%0.5710.0
Anubis250%0.6210.0
Dust210%0.7014.0
Mirage1100%0.9416.0
Train10%0.5511.0

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.

13.0%Headshot accuracy
35.1%Accuracy (enemy spotted)
40.1%Spray accuracy
51.3%Counter-strafing
13.3°Preaim
593msReaction time
64.7%T opening success
50.6%CT opening success
0.51Enemies flashed / flash
4.7%Flash assists
4.64HE damage / grenade
10.89Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2883° — above the 12° mark we flag

    Aim Training
  2. 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 13.0425% — below the 15% mark we flag

    Aim Training
Spend your practice time on Cache

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.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.038%22 Sept
inferno9–40.0611%22 Sept
inferno8–80.0118%22 Sept
inferno5–90.0321%22 Sept
nuke6–13-0.0426%22 Sept
inferno6–13-0.0112%22 Sept
mirage13–90.0915%22 Sept
inferno13–5-0.0515%21 Sept
anubis13–90.1115%21 Sept
nuke4–13-0.032%21 Sept
ancient13–110.0417%21 Sept
inferno11–130.0111%21 Sept
cache7–130.0010%21 Sept
vertigo3–9-0.0619%21 Sept
anubis4–13-0.1011%21 Sept
mirage13–20.0316%21 Sept
anubis13–11-0.046%21 Sept
inferno8–130.0116%21 Sept
ancient16–130.0311%18 Sept
ancient11–130.048%18 Sept
inferno6–20.024%18 Sept
nuke9–13-0.017%17 Sept
ancient3–130.0123%17 Sept
anubis13–80.0614%16 Sept
ancient4–13-0.0915%16 Sept
nuke4–9-0.0315%16 Sept
debris9–30.0212%16 Sept
eldorado6–9-0.0214%16 Sept
poseidon9–70.0617%16 Sept
poseidon7–90.0710%15 Sept
vertigo9–30.1812%15 Sept
inferno6–9-0.0325%15 Sept
inferno3–9-0.1018%15 Sept
ancient10–13-0.0118%15 Sept
anubis11–13-0.018%13 Sept
ancient13–10-0.0113%12 Sept
inferno5–13-0.069%12 Sept
cache13–11-0.0719%11 Sept
inferno14–160.0521%11 Sept
ancient13–6-0.027%11 Sept
inferno13–90.0112%8 Sept
mirage8–13-0.070%8 Sept
anubis4–13-0.080%8 Sept
ancient2–13-0.0622%8 Sept
mirage3–13-0.038%7 Sept
vertigo3–13-0.069%7 Sept
inferno13–80.099%7 Sept
anubis13–110.0314%7 Sept
ancient7–13-0.0222%7 Sept
cache4–13-0.0520%7 Sept
inferno8–8-0.1020%3 Sept
inferno9–10.0814%3 Sept
vertigo9–7-0.027%3 Sept
inferno4–9-0.0122%3 Sept
ancient13–110.0113%3 Sept
nuke13–6-0.0514%3 Sept
inferno10–13-0.0012%2 Sept
cache13–90.0612%1 Sept
inferno3–13-0.084%1 Sept
ancient13–60.046%1 Sept
inferno9–13-0.037%1 Sept
vertigo9–50.174%30 Aug
inferno8–8-0.0433%30 Aug
inferno7–90.059%30 Aug
ancient13–6-0.0217%29 Aug
anubis13–6-0.0138%29 Aug
mirage13–8-0.0011%29 Aug
nuke3–9-0.149%29 Aug
ancient13–90.019%26 Aug
nuke13–30.0412%26 Aug
cache8–13-0.0511%26 Aug
inferno4–90.0029%26 Aug
cache10–13-0.0218%26 Aug
ancient9–20.0214%26 Aug
vertigo0–9-0.183%25 Aug
inferno9–20.2212%25 Aug
inferno7–9-0.0822%25 Aug
inferno6–13-0.0214%25 Aug
cache6–130.0518%24 Aug
nuke13–30.0410%24 Aug
nuke13–70.0715%24 Aug
ancient10–13-0.0214%23 Aug
cache8–13-0.0815%23 Aug
anubis9–130.065%19 Aug
nuke13–90.0312%19 Aug
nuke16–14-0.028%18 Aug
ancient9–13-0.0613%18 Aug
inferno16–14-0.0214%17 Aug
nuke9–13-0.0011%17 Aug
nuke16–13-0.0210%15 Aug
inferno1–13-0.0727%15 Aug
ancient13–60.0217%15 Aug
nuke13–10-0.0414%15 Aug
anubis7–13-0.0117%15 Aug
inferno13–11-0.0111%14 Aug
cache5–13-0.0911%13 Aug
nuke16–13-0.0212%13 Aug
ancient13–9-0.004%13 Aug
nuke8–130.006%12 Aug
inferno12–160.0113%11 Aug

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 →