O_o

O_o — CS2 Stats

76561198169182820[U:1:208917092]Steam profile ↗✓ No bans

2,054Tracked matches62%Win rate2020Tracked since
CSDB Rating8.1 StrongPositional Player
Premier CS Rating21,802Top 50% of 204,150 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#56467 of 251234 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 21,802 +3,336 18 Sept – 9 Oct · 10 days played
18,46622,589peak 22,58918 Sept9 Oct
Faceit ELO: 988 +0 28 Aug – 22 Sept · 3 observations
988988peak 98828 Aug22 Sept
22,667Peak Premier in tracked matches
988Highest Faceit ELO seen on CSDB
19Days played since 2026-08-28

Faceit ELO

  • At peak — 988
  • 0 over 30 days · steady
  • Next: Level 5 at 1,051 — 63 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • 787 below peak (22,589)
  • Next: Red band at 25,000 — 3,198 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-09-22

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGO_oPREMIER21,802 · Pink band30 DAYS0 ELOPEAK ELO988csdb.gg/stats

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Performance scores

Aim90
Positioning75
Utility53

0–100 skill scores via Leetify.

Recent form

HOT56–37–7Last 10056%Win rateWWWLWLWWLW

Last 10 vs previous 10: +40pp win rate · +0.06 avg rating · +1.3pp headshot accuracy · −31ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 431ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 24%
  • Avg reaction 468ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 483ms

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 Player — Positioning stands above the rest of this profile (+1.7 against its own average).

Aim9.0
Utility5.3
Positioning7.5
Opening Duels5.4
Clutch4.8

Sharp aimerExcellent counter-strafingStrong 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.

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 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success.

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 90 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

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

Aim9.0
Positioning7.5
Utility5.3
Mechanics8.6
Opening Duels7.2
Win Impact9.0

Composite 8.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time492ms−6ms
first ⅓ avg 498ms → last ⅓ avg 492ms
Headshot accuracy22.1%+3.3%
first ⅓ avg 18.8% → last ⅓ avg 22.1%

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

0.29Best match rating · 5–1 · rush_001, 27 Sept →
67%Best headshot accuracy · 7–3 · rush_001, 25 Sept →
375msFastest reaction time · 13–11 · mirage, 27 Sept →
13–0Biggest win · inferno, 8 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
6–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 86% over 7infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB189–950%0.02
dust2A1710–759%0.04
ancientB158–753%0.03
nukeC125–742%0.02
infernoD92–722%0.05
anubisS76–186%0.06
cacheB63–350%0.01
rush_001S65–183%0.14
vertigoS54–180%0.10
train—33–0100%0.04
overpass—11–0100%0.08
shelter—10–10%0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

130Matches
45%Win rate
1.16Avg K/D
84.6ADR
47%Headshot %

Clutches & streaks

44%1v1 clutch win
21%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4141%1.1715.3
Inferno1759%1.4316.1
Dust21650%1.4016.6
Nuke825%1.1916.4
Overpass520%1.1317.4
Vertigo425%0.8110.0
Ancient450%1.1015.3
Anubis1100%1.0013.0

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.

22.4%Headshot accuracy
36.9%Accuracy (enemy spotted)
38.2%Spray accuracy
88.8%Counter-strafing
8.4°Preaim
497msReaction time
56.2%T opening success
61.5%CT opening success
0.50Enemies flashed / flash
7.8%Flash assists
10.84HE 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. 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 0.4974 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.1116%11 Oct →
dust213–9-0.0221%9 Oct →
anubis13–80.1123%9 Oct →
nuke2–13-0.0859%9 Oct →
ancient13–100.0218%9 Oct →
ancient7–130.0927%9 Oct →
train13–10.0514%8 Oct →
inferno13–00.1421%8 Oct →
dust25–130.0725%8 Oct →
cache13–60.1320%8 Oct →
cache13–90.0027%7 Oct →
cache14–16-0.0517%7 Oct →
nuke7–13-0.0648%7 Oct →
cache5–13-0.0218%6 Oct →
nuke6–130.0427%6 Oct →
cache5–13-0.0712%4 Oct →
mirage9–130.0118%4 Oct →
ancient13–6-0.0115%4 Oct →
cache13–90.0726%4 Oct →
dust29–130.0823%4 Oct →
dust212–120.0422%3 Oct →
mirage13–100.0312%3 Oct →
rush_0011–5-0.060%3 Oct →
ancient5–13-0.0112%3 Oct →
dust213–60.0123%3 Oct →
train8–00.0616%3 Oct →
dust213–110.0229%3 Oct →
anubis13–00.1127%3 Oct →
ancient13–50.0713%3 Oct →
ancient13–30.1030%2 Oct →
anubis13–90.0422%2 Oct →
mirage13–2-0.0221%2 Oct →
vertigo12–120.0931%2 Oct →
dust213–50.0726%2 Oct →
ancient7–130.0220%2 Oct →
ancient12–120.0320%2 Oct →
inferno7–130.0127%2 Oct →
mirage13–80.0514%2 Oct →
ancient13–70.0524%2 Oct →
vertigo13–50.1314%2 Oct →
dust213–90.0415%2 Oct →
ancient13–10.079%2 Oct →
nuke6–130.0836%2 Oct →
rush_0015–10.2938%27 Sept →
mirage13–110.0922%27 Sept →
vertigo13–80.1221%27 Sept →
inferno7–130.0315%27 Sept →
nuke15–150.0317%27 Sept →
nuke13–80.0523%26 Sept →
anubis13–60.0725%26 Sept →
dust213–90.0520%26 Sept →
dust28–130.1124%26 Sept →
dust216–130.0224%26 Sept →
rush_0016–20.1811%26 Sept →
rush_0014–00.1763%26 Sept →
rush_0016–20.0541%26 Sept →
dust213–110.0322%26 Sept →
nuke13–9-0.0117%26 Sept →
ancient16–140.0010%26 Sept →
overpass13–50.0823%25 Sept →
vertigo13–110.0522%25 Sept →
ancient7–130.0723%25 Sept →
rush_0017–30.2267%25 Sept →
nuke5–13-0.0314%25 Sept →
inferno11–130.0522%25 Sept →
mirage13–10.0517%25 Sept →
dust28–130.0824%25 Sept →
vertigo13–30.0818%25 Sept →
anubis13–50.0722%20 Sept →
nuke13–20.0825%19 Sept →
mirage13–20.1717%19 Sept →
mirage6–130.0616%19 Sept →
mirage5–130.0519%19 Sept →
nuke13–90.0719%19 Sept →
mirage13–9-0.0622%19 Sept →
dust29–20.0431%19 Sept →
mirage2–13-0.078%19 Sept →
mirage13–4-0.0413%19 Sept →
dust210–13-0.0036%19 Sept →
inferno7–13-0.039%18 Sept →
dust213–100.0419%18 Sept →
mirage15–150.0223%18 Sept →
mirage5–13-0.1011%18 Sept →
ancient11–13-0.0512%18 Sept →
nuke13–50.0625%18 Sept →
mirage13–60.0114%18 Sept →
anubis2–00.000%18 Sept →
anubis8–130.0118%16 Sept →
dust21–13-0.0324%13 Sept →
mirage15–150.0112%13 Sept →
mirage14–160.0619%12 Sept →
inferno7–13-0.0512%12 Sept →
train13–20.0319%12 Sept →
ancient4–130.0120%12 Sept →
nuke10–130.0225%12 Sept →
inferno9–130.1117%12 Sept →
ancient13–80.0123%11 Sept →
shelter11–130.0237%11 Sept →
inferno12–120.0723%11 Sept →
mirage6–13-0.0612%7 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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