Köllin Mörö

Köllin Mörö — CS2 Stats

76561199069022662[U:1:1108756934]Steam profile ↗

983Tracked matches27%Win rate2023Tracked since
834Hours in CS10Hrs last 2 wks
CSDB Rating4.1 Developing
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate48.7%41.2%42.2%above
Shot accuracy2.6%12.5%11.9%9.2% short
Kill/death ratio0.850.960.980.13 short
Match win rate39.4%42.8%43.6%4.1% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKöllin MöröFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim56
Positioning53
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY40564Last 10040%Win rateLWWWLWLLLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim5.6
Aggression7.0
Utility2.8
Positioning5.3
Opening Duels1.9
Clutch6.2

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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 624ms 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

Aim5.6
Positioning5.3
Utility2.8
Mechanics5.3
Opening Duels1.9
Win Impact0.0

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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time613ms−123ms
first ⅓ avg 736ms → last ⅓ avg 613ms
Headshot accuracy22.1%+3.9%
first ⅓ avg 18.1% → 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.

Highlights

0.11Best rating — nuke 13–5
130Biggest win — stronghold
4Longest win streak
78In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 59% over 17ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA1710759%-0.02
infernoC135838%-0.01
mirageD123925%-0.00
anubisC114736%-0.00
overpassB84450%-0.01
dust2C73443%-0.03
cacheD62433%0.04
ancientD61517%-0.01
office42250%0.01
vertigo42250%-0.01
train41325%-0.07
fachwerk2020%-0.10
italy21150%-0.04
poseidon1010%-0.10
shelter1010%0.06
alpine110100%-0.04
stronghold110100%0.06

Across the last 100 tracked matches.

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

Lifetime stats

17,534Lifetime kills
0.85K/D
1,502Matches
39.4%Match win rate
48.7%Headshot % · Top 25% of Level 2 players
2.6%Shot accuracy
2,092MVPs
444Hours (in match)
1,692Bombs planted
261Bombs defused

Most-used weapons

Lifetime map wins

2,031nuke
1,032inferno
963vertigo
744dust2
495train
485office
207italy
26lake

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

Faceit stats

Combat

65Matches
49%Win rate
0.81Avg K/D
62.3ADR
53%Headshot %

Clutches & streaks

51%1v1 clutch win
12%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1942%0.8011.3
Nuke1242%0.8713.1
Ancient956%0.809.9
Dust2729%0.7111.1
Inferno650%0.7211.5
Vertigo5100%0.809.6
Anubis475%0.9215.0
Train333%1.0213.0

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.

20.7%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.9%Spray accuracy
74.0%Counter-strafing
10.0°Preaim
624msReaction time
34.9%T opening success
40.5%CT opening success
0.50Enemies flashed / flash
4.7%Flash assists
9.42HE damage / grenade
2.53Flashes / 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 0.4978 — 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 34.8509% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage14–160.0420%28 Aug
dust213–5-0.0810%28 Aug
mirage13–20.0828%26 Aug
cache13–90.0625%26 Aug
nuke4–9-0.0536%26 Aug
inferno9–60.0519%26 Aug
anubis11–130.0215%25 Aug
mirage1–4-0.029%24 Aug
mirage4–130.0225%21 Aug
mirage5–13-0.0418%20 Aug
mirage0–30.0350%20 Aug
ancient7–13-0.0527%16 Aug
dust29–13-0.0720%15 Aug
mirage12–16-0.0126%14 Aug
poseidon4–9-0.1037%13 Aug
nuke13–110.0122%10 Aug
inferno11–130.0518%10 Aug
ancient10–130.0614%5 Aug
nuke9–13-0.0425%2 Aug
anubis10–130.0217%30 Jul
inferno11–130.0424%30 Jul
mirage10–130.0526%29 Jul
dust213–9-0.0118%29 Jul
anubis3–13-0.0910%24 Jul
inferno6–13-0.0325%24 Jul
fachwerk2–13-0.140%24 Jul
inferno13–11-0.0523%24 Jul
nuke13–70.0219%24 Jul
nuke5–13-0.0519%22 Jul
cache10–13-0.0314%22 Jul
fachwerk0–13-0.0546%13 Jul
shelter7–130.0620%13 Jul
office13–9-0.0222%8 Jul
nuke13–80.0020%22 Jun
overpass13–80.0328%20 Jun
inferno4–13-0.0710%20 Jun
mirage8–13-0.0422%17 Jun
nuke13–30.0228%17 Jun
vertigo13–6-0.0427%12 Jun
anubis13–50.0722%12 Jun
alpine13–11-0.0416%12 Jun
vertigo5–130.0213%10 Jun
train13–9-0.0922%10 Jun
nuke11–13-0.0722%5 Jun
anubis13–30.0320%5 Jun
cache7–110.0916%5 Jun
vertigo13–9-0.0113%5 Jun
office12–12-0.0418%4 Jun
vertigo9–130.0015%4 Jun
cache13–40.0622%29 May
dust213–10-0.0417%29 May
anubis8–13-0.1018%27 May
overpass13–5-0.0416%22 May
ancient6–13-0.0316%22 May
dust27–13-0.0224%20 May
stronghold13–00.0631%20 May
nuke13–1-0.0318%16 May
office13–60.1015%15 May
anubis1–50.0117%15 May
cache8–130.0037%13 May
office7–13-0.0112%13 May
train1–13-0.1333%4 May
inferno13–110.0216%3 May
cache9–130.0521%30 Apr
italy13–5-0.0828%28 Apr
train12–12-0.0418%22 Apr
inferno5–13-0.0321%18 Apr
inferno9–13-0.0821%17 Apr
mirage13–10-0.0222%16 Apr
dust212–120.0325%16 Apr
anubis6–13-0.129%13 Apr
mirage16–14-0.0319%13 Apr
dust211–13-0.0120%13 Apr
inferno6–13-0.0629%13 Apr
nuke13–3-0.0026%13 Apr
overpass16–120.0114%12 Apr
nuke13–50.1117%12 Apr
inferno16–14-0.0114%12 Apr
nuke10–13-0.0820%12 Apr
overpass13–80.0213%12 Apr
nuke13–4-0.0513%12 Apr
overpass6–13-0.0812%11 Apr
nuke15–150.0425%11 Apr
ancient5–13-0.0226%11 Apr
anubis16–14-0.0316%11 Apr
nuke8–13-0.0824%10 Apr
overpass12–16-0.0527%10 Apr
mirage2–13-0.0914%10 Apr
nuke13–4-0.0013%10 Apr
ancient14–16-0.0324%9 Apr
inferno13–60.0317%9 Apr
nuke13–7-0.0813%9 Apr
overpass6–130.0514%9 Apr
italy9–13-0.0121%9 Apr
overpass8–13-0.0418%4 Apr
ancient13–100.037%4 Apr
train8–13-0.0320%1 Apr
anubis13–60.0714%1 Apr
anubis11–130.0712%1 Apr
inferno10–13-0.0317%31 Mar

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 →