co$mo

co$mo — CS2 Stats

FI76561198978889957[U:1:1018624229]Steam profile ↗✓ No bans

840Tracked matches62%Win rate2020Tracked since
CSDB Rating7.1 StrongAll-Rounder
Premier CS Rating22,698Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47294 of 260013 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (20 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: 22,698 +256 15 Dec – 16 Oct · 3 days played
22,44222,730peak 22,73015 Dec16 Oct
22,730Peak Premier in tracked matches
41Days played since 2025-07-10

Premier CS Rating

  • 32 below peak (22,730)
  • Next: Red band at 25,000 — 2,302 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGco$moPREMIER22,698 · Pink bandcsdb.gg/stats

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Performance scores

Aim81
Positioning61
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY61–35–4Last 10061%Win rateWLWLLLWLWL

Last 10 vs previous 10: −50pp win rate · −0.04 avg rating · −0.3pp headshot accuracy · −76ms reaction

Win rate down 50pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 500ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 518ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 556ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim8.1
Utility5.4
Positioning6.1
Opening Duels6.4
Clutch5.0

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

device

Plays most like device 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; 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

Reaction time. 556ms 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

Aim8.1
Positioning6.1
Utility5.4
Mechanics6.7
Opening Duels5.6
Win Impact9.0

Composite 7.1/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time545ms−11ms
first ⅓ avg 556ms → last ⅓ avg 545ms
Headshot accuracy20.0%−6.8%
first ⅓ avg 26.8% → last ⅓ avg 20.0%

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

0.14Best match rating · 8–1 · nuke, 5 Oct →
100%Best headshot accuracy · 10–1 · nuke, 6 Oct →
375msFastest reaction time · 10–1 · nuke, 22 Sept →
13–1Biggest win · dust2, 9 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 88% over 17ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2714–1352%0.02
nukeS2316–770%0.03
dust2S1715–288%0.03
ancientD103–730%-0.02
anubisA74–357%0.00
cache—42–250%0.02
vertigo—32–167%0.04
overpass—32–167%0.04
inferno—31–233%-0.00
train—32–167%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

322Matches
55%Win rate
1.17Avg K/D
80.3ADR
45%Headshot %

Clutches & streaks

45%1v1 clutch win
6%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1040%1.0417.1
Ancient933%1.2115.9
Nuke7100%1.7219.4
Vertigo475%1.6119.3
Anubis250%1.0616.5
Inferno2100%2.0421.0
Dust2250%1.2418.5
Overpass250%1.5623.5

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.

20.2%Headshot accuracy
36.1%Accuracy (enemy spotted)
38.0%Spray accuracy
80.0%Counter-strafing
8.4°Preaim
556msReaction time
48.5%T opening success
56.1%CT opening success
0.61Enemies flashed / flash
7.5%Flash assists
7.63HE damage / grenade
5.89Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0726%16 Oct →
mirage8–13-0.019%16 Oct →
dust213–100.0416%16 Oct →
ancient2–13-0.0613%16 Oct →
anubis2–13-0.0422%16 Oct →
mirage10–13-0.0517%13 Oct →
nuke13–50.0626%13 Oct →
cache9–13-0.0428%13 Oct →
nuke13–80.0118%9 Oct →
mirage3–13-0.0621%9 Oct →
dust213–10.0117%9 Oct →
nuke13–9-0.0123%9 Oct →
cache13–100.049%9 Oct →
anubis13–9-0.0725%5 Oct →
nuke8–10.1425%5 Oct →
cache16–140.0416%5 Oct →
dust213–110.0535%5 Oct →
nuke13–4-0.0111%5 Oct →
mirage5–130.0514%22 Sept →
anubis13–50.1025%22 Sept →
nuke10–10.0811%22 Sept →
mirage13–60.0930%22 Sept →
mirage11–130.0418%22 Sept →
nuke13–100.0025%14 Sept →
nuke13–90.0215%25 Aug →
nuke8–130.0420%25 Aug →
mirage13–50.0233%25 Aug →
nuke10–130.0329%25 Aug →
cache12–120.028%29 Apr →
ancient6–13-0.0723%29 Apr →
ancient11–13-0.0628%23 Apr →
mirage11–2-0.020%21 Apr →
vertigo13–10.0724%21 Apr →
dust27–13-0.0333%21 Apr →
anubis13–11-0.0111%10 Apr →
dust213–8-0.0227%10 Apr →
vertigo10–130.0213%10 Apr →
nuke13–20.0219%14 Mar →
dust213–10-0.0011%14 Mar →
mirage10–13-0.0114%4 Mar →
anubis4–13-0.0231%1 Mar →
mirage11–13-0.0313%17 Feb →
overpass16–130.0613%17 Feb →
mirage13–30.1327%17 Feb →
dust213–100.0423%17 Feb →
inferno9–13-0.0317%16 Feb →
dust213–90.0421%16 Feb →
nuke13–70.0727%16 Feb →
inferno16–130.0211%15 Feb →
nuke13–60.0524%15 Feb →
anubis3–13-0.0224%15 Feb →
ancient16–140.0610%15 Feb →
nuke13–80.0020%24 Jan →
mirage13–70.0717%24 Jan →
ancient6–13-0.0120%13 Jan →
nuke13–70.0518%16 Dec →
train9–13-0.0827%16 Dec →
inferno11–130.0123%15 Dec →
train13–40.0624%15 Dec →
overpass5–130.0223%15 Dec →
mirage13–30.1026%13 Dec →
ancient5–13-0.059%13 Dec →
mirage13–80.0322%8 Dec →
ancient11–130.0215%16 Nov →
dust213–11-0.0416%16 Nov →
mirage13–70.0118%23 Oct →
dust213–50.0028%23 Oct →
dust213–110.0110%16 Oct →
ancient5–13-0.0219%13 Oct →
nuke12–120.0514%9 Oct →
mirage5–13-0.0421%9 Oct →
ancient13–6-0.0118%9 Oct →
train13–60.0327%9 Oct →
nuke13–60.0422%9 Oct →
ancient13–110.0117%6 Oct →
overpass13–90.0427%6 Oct →
nuke10–10.11100%6 Oct →
nuke4–13-0.0517%6 Oct →
mirage11–13-0.0121%4 Oct →
nuke13–40.0419%4 Oct →
mirage13–10-0.0229%28 Sept →
dust213–110.0523%27 Sept →
vertigo13–100.0317%18 Sept →
mirage11–13-0.0025%8 Sept →
nuke12–120.0323%25 Aug →
nuke10–130.0122%25 Aug →
mirage13–110.0116%25 Aug →
dust213–50.1226%31 Jul →
mirage13–30.1128%31 Jul →
dust213–30.0720%31 Jul →
mirage11–130.0633%29 Jul →
nuke5–13-0.0216%28 Jul →
dust24–130.0057%28 Jul →
mirage12–120.1029%28 Jul →
mirage9–20.0738%19 Jul →
anubis13–40.0823%11 Jul →
dust213–90.0939%11 Jul →
dust213–3-0.0135%10 Jul →
mirage2–13-0.0420%10 Jul →
mirage13–6-0.0232%10 Jul →

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 →

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