cumothy

cumothy — CS2 Stats

EH76561198072365864[U:1:112100136]Steam profile ↗✓ No bans

2,143Tracked matches34%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
Premier CS Rating20,547Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)
CSDB Leaderboard#76733 of 261531 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (9 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: 20,547 -2,902 4 Jul – 5 Nov · 38 days played
18,64023,449peak 23,4494 Jul5 Nov
Faceit ELO: 1,563 +0 29 Aug – 7 Sept · 2 observations
1,5631,563peak 1,56329 Aug7 Sept
23,449Peak Premier in tracked matches
1,563Highest Faceit ELO seen on CSDB
42Days played since 2026-07-04

Premier CS Rating

  • 2,902 below peak (23,449)
  • -1,616 over 30 days · declining
  • -1,465 over 90 days
  • Next: Red band at 25,000 — 4,453 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.GGcumothyFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,547 · Pink bandPEAK ELO1,563csdb.gg/stats

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Performance scores

Aim74
Positioning66
Utility66

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLTLLLWLLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +1.7pp headshot accuracy · +12ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 527ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 585ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 579ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.4
Utility6.6
Positioning6.6
Opening Duels4.0
Clutch3.8

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 65% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms 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

Aim7.4
Positioning6.6
Utility6.6
Mechanics6.3
Opening Duels6.3
Win Impact0.0

Composite 6.2/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time566ms−34ms
first ⅓ avg 600ms → last ⅓ avg 566ms
Headshot accuracy18.0%−1.2%
first ⅓ avg 19.2% → last ⅓ avg 18.0%

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

0.15Best match rating · 9–13 · dust2, 15 Aug →
37%Best headshot accuracy · 2–13 · dust2, 22 Aug →
438msFastest reaction time · 13–10 · inferno, 26 Oct →
13–1Biggest win · mirage, 13 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
12–5In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 60% over 15infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B2312–1152%0.02
infernoD165–1131%-0.00
cacheA159–660%0.04
anubisD134–931%0.01
mirageB137–654%0.00
nukeC125–742%0.01
ancientC83–538%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

835Matches
50%Win rate
1.17Avg K/D
87.1ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4957%1.1715.8
Dust24351%1.1816.5
Mirage2868%1.2818.4
Nuke1644%1.1617.6
Anubis1450%1.1618.7
Overpass1030%0.9816.0
Train617%1.1116.7

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.

18.6%Headshot accuracy
34.7%Accuracy (enemy spotted)
38.7%Spray accuracy
78.6%Counter-strafing
9.5°Preaim
564msReaction time
65.2%T opening success
44.9%CT opening success
0.61Enemies flashed / flash
5.3%Flash assists
8.81HE damage / grenade
14.50Flashes / match

Recommended for you

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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke10–130.0221%5 Nov →
dust215–150.0118%5 Nov →
anubis9–130.0424%3 Nov →
mirage7–13-0.0020%3 Nov →
cache5–130.019%31 Oct →
ancient13–80.0328%31 Oct →
cache10–130.0225%31 Oct →
anubis2–13-0.0617%31 Oct →
dust27–130.0313%26 Oct →
inferno13–100.0315%26 Oct →
cache10–130.0219%19 Oct →
anubis13–40.0017%17 Oct →
mirage16–140.0117%15 Oct →
ancient11–13-0.0231%15 Oct →
cache13–10-0.0118%12 Oct →
anubis7–13-0.0310%12 Oct →
inferno3–13-0.0717%12 Oct →
ancient10–130.029%12 Oct →
mirage13–100.0415%10 Oct →
inferno11–13-0.0221%10 Oct →
ancient2–13-0.0321%10 Oct →
anubis5–13-0.0424%6 Oct →
inferno8–13-0.0413%5 Oct →
dust213–80.0536%5 Oct →
cache13–60.0421%29 Sept →
nuke9–130.0213%29 Sept →
cache13–110.0721%26 Sept →
cache7–130.0620%26 Sept →
anubis11–13-0.0012%26 Sept →
dust213–8-0.0116%21 Sept →
inferno11–13-0.055%20 Sept →
dust213–110.0316%20 Sept →
nuke8–13-0.0214%20 Sept →
mirage7–13-0.0430%20 Sept →
dust213–100.0617%19 Sept →
nuke13–5-0.0429%15 Sept →
anubis15–150.0111%15 Sept →
anubis15–15-0.0124%13 Sept →
mirage13–1-0.0113%13 Sept →
inferno8–13-0.0227%13 Sept →
anubis4–130.0015%30 Aug →
dust27–13-0.0615%30 Aug →
inferno8–13-0.0715%30 Aug →
mirage15–15-0.0123%30 Aug →
anubis13–80.0523%29 Aug →
mirage13–50.0313%29 Aug →
dust213–110.0419%27 Aug →
inferno8–13-0.0417%27 Aug →
dust210–13-0.0223%24 Aug →
ancient2–13-0.0317%24 Aug →
mirage10–13-0.0320%22 Aug →
nuke8–13-0.0228%22 Aug →
cache13–110.0423%22 Aug →
dust22–13-0.0737%22 Aug →
dust29–130.1528%15 Aug →
cache16–130.0424%15 Aug →
ancient16–140.0415%9 Aug →
inferno4–130.0126%9 Aug →
dust216–140.0314%9 Aug →
ancient13–60.0622%8 Aug →
dust213–110.0315%8 Aug →
nuke13–80.0522%8 Aug →
inferno16–120.0921%3 Aug →
dust29–130.0329%3 Aug →
inferno16–13-0.0414%2 Aug →
mirage13–10-0.0522%2 Aug →
dust27–13-0.0618%2 Aug →
anubis13–60.0831%1 Aug →
inferno10–130.0124%1 Aug →
mirage13–160.0024%1 Aug →
dust27–130.0119%30 Jul →
mirage13–20.1124%30 Jul →
cache13–80.0725%28 Jul →
nuke13–60.0616%28 Jul →
cache16–130.0418%26 Jul →
inferno13–90.0519%25 Jul →
dust213–11-0.0228%25 Jul →
anubis6–13-0.0318%25 Jul →
cache13–110.0616%20 Jul →
nuke6–130.0623%20 Jul →
dust213–8-0.0220%19 Jul →
inferno14–160.0323%19 Jul →
dust25–13-0.0111%19 Jul →
cache5–130.0514%18 Jul →
dust23–13-0.0311%18 Jul →
inferno13–90.0615%18 Jul →
nuke13–11-0.0025%18 Jul →
dust213–70.1025%16 Jul →
nuke13–60.0314%16 Jul →
anubis13–90.0617%14 Jul →
ancient6–13-0.0514%14 Jul →
mirage13–90.0527%11 Jul →
cache13–60.0418%11 Jul →
nuke8–13-0.0113%11 Jul →
dust213–100.0716%9 Jul →
nuke5–130.0213%9 Jul →
cache1–13-0.0427%9 Jul →
inferno15–15-0.0119%6 Jul →
mirage2–13-0.0711%6 Jul →
dust216–140.0313%4 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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