Flannel

Flannel — CS2 Stats

CA76561197961936170[U:1:1670442]Steam profile ↗✓ No bans

2,294Tracked matches53%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
Premier CS Rating23,600Top 25% of 180,525 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#32591 of 224520 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (5 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.

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. 32 days played since 31 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 23,600 -46 31 May13 Sept · 14 days played
21,97724,487peak 24,48731 May13 Sept
24,487Peak Premier in tracked matches
1,558Highest Faceit ELO seen on CSDB
32Days played since 2026-05-31

Premier CS Rating

  • 887 below peak (24,487)
  • +1,123 over 30 days · improving
  • +1,202 over 90 days
  • Next: Red band at 25,000 1,400 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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.GGFlannelFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,600 · Pink bandPEAK ELO1,558csdb.gg/stats

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Performance scores

Aim68
Positioning40
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateWLLWWLLLWL

Last 10 vs previous 10: −10pp win rate · +0.06 avg rating · −2.6pp headshot accuracy · −33ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 562ms

Last 10

  • 46 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 548ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 564ms

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: SupportUtility contribution stands above the rest of this profile (+1.9 against its own average).

Aim6.8
Utility6.2
Positioning4.0
Opening Duels1.6
Clutch5.6

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 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 550ms 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

Aim6.8
Positioning4.0
Utility6.2
Mechanics7.2
Opening Duels0.9
Win Impact6.1

Composite 5.7/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time551ms−11ms
first ⅓ avg 561ms → last ⅓ avg 551ms
Headshot accuracy18.3%+1.3%
first ⅓ avg 17.0% → last ⅓ avg 18.3%

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

0.13Best match rating · 13–2 · nuke, 19 Jul
35%Best headshot accuracy · 5–13 · dust2, 5 Sept
359msFastest reaction time · 8–4 · dust2, 29 Aug
13–2Biggest win · dust2, 27 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
58In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B39201951%0.02
mirageB168850%-0.02
ancientS107370%0.01
infernoD92722%0.02
cacheD93633%-0.01
nukeA85363%0.01
anubis2020%-0.02
vertigo21150%-0.05
overpass220100%0.05
shelter1010%0.03
alpine110100%0.02
warden110100%-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

304Matches
55%Win rate
1.23Avg K/D
77.9ADR
44%Headshot %

Clutches & streaks

48%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1258%1.0916.2
Inferno1050%1.0214.2
Dust2580%0.7110.6
Nuke560%1.0017.8
Anubis367%1.2512.3
Cache3100%0.9715.0
Overpass333%0.7814.7
Train250%1.0128.0

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.

18.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
32.3%Spray accuracy
82.4%Counter-strafing
10.8°Preaim
550msReaction time
33.5%T opening success
33.9%CT opening success
0.63Enemies flashed / flash
10.7%Flash assists
9.35HE damage / grenade
6.62Flashes / 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 33.4858% — below the 40% mark we flag

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 & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke16–140.0221%13 Sept
dust28–130.0719%13 Sept
dust210–130.0723%13 Sept
dust213–60.0117%13 Sept
dust27–10.0721%12 Sept
mirage10–13-0.0219%7 Sept
inferno10–130.0518%7 Sept
cache9–13-0.0016%7 Sept
ancient13–10-0.0212%7 Sept
inferno9–13-0.0115%7 Sept
dust213–50.0231%7 Sept
dust21–13-0.0923%7 Sept
dust213–50.0020%7 Sept
dust25–13-0.0235%5 Sept
dust22–13-0.0626%5 Sept
nuke4–6-0.119%5 Sept
cache13–9-0.0414%30 Aug
dust28–40.0414%29 Aug
cache10–13-0.0220%29 Aug
mirage13–8-0.1014%29 Aug
mirage13–60.014%23 Aug
nuke13–90.0323%23 Aug
cache13–7-0.0019%22 Aug
dust29–13-0.0321%22 Aug
mirage16–13-0.0713%18 Aug
inferno13–80.0421%18 Aug
mirage13–6-0.068%18 Aug
inferno10–130.0530%18 Aug
ancient13–60.0311%18 Aug
mirage9–13-0.019%13 Aug
ancient13–9-0.0316%13 Aug
mirage13–10-0.0123%12 Aug
nuke13–60.0220%12 Aug
dust213–110.029%12 Aug
dust213–80.0317%12 Aug
dust213–80.0624%12 Aug
mirage0–6-0.028%12 Aug
dust27–130.0121%12 Aug
dust213–60.0516%12 Aug
dust213–60.1023%10 Aug
dust213–50.0826%10 Aug
dust212–12-0.0119%10 Aug
dust213–50.1221%9 Aug
dust29–130.0015%9 Aug
dust213–40.1111%9 Aug
dust28–13-0.0327%9 Aug
dust24–13-0.0111%9 Aug
ancient11–13-0.0119%3 Aug
cache11–130.0622%3 Aug
mirage13–90.0022%3 Aug
mirage4–13-0.0710%3 Aug
inferno9–13-0.087%1 Aug
dust213–70.0721%27 Jul
dust213–2-0.0233%27 Jul
ancient13–100.058%26 Jul
ancient13–60.036%26 Jul
shelter10–130.0316%26 Jul
cache13–40.0220%19 Jul
dust26–13-0.0013%19 Jul
anubis6–13-0.0318%19 Jul
nuke13–20.139%19 Jul
nuke5–13-0.0210%19 Jul
dust215–15-0.0120%13 Jul
dust213–7-0.038%13 Jul
dust213–100.0916%13 Jul
dust213–110.0216%13 Jul
mirage10–130.0113%12 Jul
mirage12–12-0.017%6 Jul
inferno1–13-0.0411%5 Jul
dust27–13-0.0323%5 Jul
dust211–13-0.0316%5 Jul
ancient6–13-0.0410%4 Jul
ancient4–13-0.0218%4 Jul
dust213–100.0218%4 Jul
nuke13–70.0314%4 Jul
cache3–13-0.0319%4 Jul
cache1–130.0120%2 Jul
ancient13–70.0113%1 Jul
ancient13–20.0819%1 Jul
inferno11–130.1012%1 Jul
vertigo13–11-0.0315%1 Jul
mirage13–10-0.0617%1 Jul
dust24–130.0123%1 Jul
alpine13–70.0220%22 Jun
warden13–8-0.0212%22 Jun
inferno13–90.0833%20 Jun
vertigo5–13-0.0716%20 Jun
nuke9–130.0420%13 Jun
inferno11–130.0124%13 Jun
dust211–130.0615%12 Jun
dust23–13-0.0122%12 Jun
cache1–13-0.0626%12 Jun
mirage13–110.0928%7 Jun
overpass13–30.039%7 Jun
anubis6–13-0.0020%7 Jun
mirage5–13-0.0312%7 Jun
mirage3–13-0.0016%6 Jun
dust214–16-0.0015%6 Jun
dust213–4-0.035%31 May
overpass13–60.0712%31 May

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 →