örnen

örnen — CS2 Stats

76561198063253777[U:1:102988049]Steam profile ↗✓ No bans

428Tracked matches38%Win rate2022Tracked since
CSDB Rating4.1 DevelopingAll-Rounder
WingmanGold Nova III
Ladder ranks via Leetify
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. 31 days played since 30 Mar 2025. Come back after the next session and the change shows above.

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Rating over time

12,510Peak Premier in tracked matches
31Days played since 2025-03-30

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.

Performance scores

Aim52
Positioning42
Utility34

0–100 skill scores via Leetify.

Recent form

COLD45487Last 10045%Win rateTLLWLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −4.4pp headshot accuracy · +26ms reaction

Win rate down 30pp 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

  • 131 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 617ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 593ms

Last 20

  • 7121 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 580ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.2
Utility3.4
Positioning4.2
Opening Duels3.2
Clutch4.0

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

iM

Plays most like iM 90% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 604ms 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

Aim5.2
Positioning4.2
Utility3.4
Mechanics4.9
Opening Duels3.2
Win Impact1.0

Composite 4.1/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time605ms−81ms
first ⅓ avg 686ms → last ⅓ avg 605ms
Headshot accuracy16.4%+1.7%
first ⅓ avg 14.8% → last ⅓ avg 16.4%

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

0.34Best match rating · 9–3 · rooftop, 17 Oct
33%Best headshot accuracy · 13–4 · mirage, 26 Nov
469msFastest reaction time · 2–9 · rooftop, 20 Oct
13–0Biggest win · mirage, 16 Oct

Across the last 100 tracked matches.

Highlights

7Longest win streak
47In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 62% over 13palaisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2112957%0.01
dust2C135838%0.02
infernoA138562%0.05
ancientD113827%0.05
anubisC114736%0.01
vertigoA95456%0.08
nukeC83538%0.08
palaisD61517%-0.03
rooftop43175%0.07
cache1010%-0.03
office1010%-0.08
brewery110100%0.15
dogtown1010%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

17Matches
53%Win rate
1.25Avg K/D
83.4ADR
33%Headshot %

Clutches & streaks

40%1v1 clutch win
50%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno3100%2.7716.7
Ancient367%1.0422.0
Anubis333%1.3918.0
Mirage367%0.9215.3
Train1100%0.8511.0
Nuke10%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.

17.0%Headshot accuracy
29.4%Accuracy (enemy spotted)
32.9%Spray accuracy
71.9%Counter-strafing
9.0°Preaim
604msReaction time
35.6%T opening success
49.8%CT opening success
0.56Enemies flashed / flash
4.5%Flash assists
11.60HE damage / grenade
5.42Flashes / 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

    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 35.6359% — below the 40% mark we flag

Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient12–120.0816%15 Sept
anubis10–13-0.0112%15 Sept
nuke6–13-0.0314%15 Sept
dust213–50.0918%15 Sept
inferno5–130.0315%15 Sept
cache9–13-0.039%30 Aug
anubis10–13-0.0813%30 Aug
inferno13–30.0117%30 Aug
mirage3–13-0.0613%22 Jun
dust22–13-0.1214%21 Jun
ancient4–130.0210%21 Jun
mirage13–100.0718%26 May
dust22–13-0.0123%26 May
mirage13–2-0.018%26 Apr
nuke13–110.1020%1 Dec
inferno13–20.0815%1 Dec
ancient7–130.1120%26 Nov
inferno6–130.0029%26 Nov
mirage13–40.0933%26 Nov
dust22–13-0.069%3 Nov
mirage13–2-0.0314%3 Nov
anubis10–130.0327%3 Nov
dust27–130.0914%23 Oct
dust210–13-0.0719%23 Oct
anubis4–13-0.027%21 Oct
mirage13–20.0124%21 Oct
nuke13–70.0819%20 Oct
rooftop2–9-0.1911%20 Oct
rooftop9–50.0215%20 Oct
dust211–130.0923%19 Oct
mirage3–130.0024%19 Oct
vertigo13–90.0212%17 Oct
dust213–50.049%17 Oct
ancient6–130.047%17 Oct
vertigo13–90.1811%17 Oct
inferno13–40.1316%17 Oct
anubis13–100.1113%17 Oct
mirage13–100.0421%17 Oct
dust213–30.0323%17 Oct
rooftop9–70.106%17 Oct
rooftop9–30.3411%17 Oct
inferno11–130.0316%16 Oct
vertigo4–130.106%16 Oct
anubis13–30.038%16 Oct
mirage13–00.065%16 Oct
vertigo9–130.0420%15 Oct
nuke11–130.1016%15 Oct
inferno13–90.1014%15 Oct
ancient13–110.0714%15 Oct
mirage13–30.0116%15 Oct
anubis12–120.079%15 Oct
vertigo7–130.0410%14 Oct
dust213–100.117%14 Oct
vertigo13–40.119%14 Oct
anubis13–50.0710%14 Oct
inferno7–20.034%14 Oct
nuke13–90.0421%14 Oct
mirage13–10.1112%14 Oct
nuke8–130.1416%13 Oct
ancient10–130.0317%13 Oct
vertigo13–40.0711%13 Oct
mirage11–130.0114%13 Oct
mirage13–60.0817%12 Oct
vertigo11–130.1611%12 Oct
inferno12–120.0320%12 Oct
office3–13-0.0817%12 Oct
nuke6–130.0617%12 Oct
ancient7–130.0410%10 Oct
ancient13–30.1212%10 Oct
mirage7–130.0218%10 Oct
anubis7–13-0.0516%10 Oct
mirage1–130.0518%10 Oct
ancient1–130.058%10 Oct
nuke6–130.1316%10 Oct
dust27–130.0412%10 Oct
vertigo13–110.0312%8 Oct
ancient6–13-0.0523%8 Oct
mirage12–12-0.0519%8 Oct
brewery9–30.1513%25 Sept
dogtown3–9-0.099%25 Sept
mirage12–12-0.0223%2 Jun
mirage13–2-0.0519%1 Jun
mirage13–9-0.0524%22 May
anubis13–9-0.0413%8 Apr
inferno13–40.078%8 Apr
dust213–20.0330%8 Apr
inferno13–40.0017%3 Apr
inferno13–70.0016%2 Apr
mirage8–13-0.0115%2 Apr
mirage11–130.0422%1 Apr
ancient13–70.0310%1 Apr
palais4–90.017%31 Mar
palais5–9-0.126%31 Mar
palais9–60.060%31 Mar
palais7–90.0121%31 Mar
palais6–9-0.065%31 Mar
inferno12–120.098%30 Mar
dust212–120.0320%30 Mar
anubis6–130.0418%30 Mar
palais0–9-0.1019%30 Mar

Match data via Leetify.

Recent teammates

Milestones

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