flattie

flattie — CS2 Stats

76561198451954121[U:1:491688393]Steam profile ↗✓ No bans

1,298Tracked matches57%Win rate2020Tracked since
1,025Hours in CS
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,298 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,156 +3,907 26 Apr – 31 Aug · 17 days played
13,05619,276peak 19,27626 Apr31 Aug
19,276Peak Premier in tracked matches
36Days played since 2026-04-25

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

Compare periods

Last 7 days vs previous 7

No matches recorded between 4 Oct 2026 and 11 Oct 2026.

Measured 4 Oct 2026 → 11 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

No matches recorded between 16 Sep 2026 and 11 Oct 2026.

Measured 16 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,051), 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 3 medianLevel 4 medianvs Level 4
Headshot rate48.3%41.8%42.7%above
Shot accuracy17.5%12.2%11.3%above
Kill/death ratio0.870.980.990.12 short
Match win rate41.4%43.3%43.9%2.5% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGflattieFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim61
Positioning46
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLLWLLWLLWW

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −2.4pp headshot accuracy · −92ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 628ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 600ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim6.1
Utility3.7
Positioning4.6
Opening Duels1.8

Limited utility dependence

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 634ms 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

Aim6.1
Positioning4.6
Utility3.7
Mechanics7.3
Opening Duels1.5
Win Impact7.2

Composite 5.3/10 (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-0.01−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time649ms−19ms
first ⅓ avg 667ms → last ⅓ avg 649ms
Headshot accuracy19.4%+2.1%
first ⅓ avg 17.3% → last ⅓ avg 19.4%

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

0.21Best match rating · 1–5 · dust2, 25 Jul →
44%Best headshot accuracy · 5–13 · dust2, 25 Jul →
445msFastest reaction time · 13–9 · dust2, 26 Jul →
13–0Biggest win · mirage, 24 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 65% over 17ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3417–1750%-0.02
dust2B3016–1453%-0.01
cacheS1711–665%-0.01
ancientD93–633%-0.01
inferno—42–250%0.05
nuke—21–150%-0.00
overpass—22–0100%0.00
anubis—10–10%-0.04
vertigo—10–10%-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,031Lifetime kills
0.87K/D
2,653Matches
41.4%Match win rate
48.3%Headshot % · Top 25% of Level 3 players
17.5%Shot accuracy · Top 25% of Level 3 players
3,329MVPs
1,025Hours (in match)
1,862Bombs planted
508Bombs defused

Most-used weapons

Lifetime map wins

7,244dust2
1,438inferno
903vertigo
434nuke
178train
11office
8cbble
6italy

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

Faceit stats

Combat

72Matches
47%Win rate
0.83Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage30%0.8313.3
Inferno250%0.8013.0
Vertigo10%0.9416.0

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.

18.9%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.3%Spray accuracy
82.9%Counter-strafing
10.5°Preaim
634msReaction time
34.2%T opening success
38.0%CT opening success
0.48Enemies flashed / flash
3.6%Flash assists
7.43HE damage / grenade
2.92Flashes / 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 0.4804 — 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 34.1905% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0910%1 Sept →
dust26–13-0.0324%9 Aug →
dust213–50.0234%9 Aug →
nuke13–16-0.0215%2 Aug →
ancient14–160.0120%29 Jul →
dust213–11-0.0431%29 Jul →
dust25–13-0.0214%27 Jul →
mirage7–13-0.068%27 Jul →
dust213–9-0.066%26 Jul →
cache16–13-0.0323%26 Jul →
dust213–11-0.0216%26 Jul →
ancient10–13-0.0526%26 Jul →
dust25–13-0.0244%25 Jul →
dust29–130.0319%25 Jul →
dust21–50.2119%25 Jul →
mirage13–50.0220%25 Jul →
mirage13–5-0.0126%24 Jul →
ancient11–13-0.0210%24 Jul →
dust213–8-0.0120%24 Jul →
mirage13–110.019%24 Jul →
dust216–13-0.0217%24 Jul →
mirage13–00.0324%24 Jul →
mirage13–60.0125%22 Jul →
dust213–70.0322%21 Jul →
mirage13–11-0.0517%21 Jul →
dust27–13-0.0316%21 Jul →
mirage13–70.0220%20 Jul →
ancient13–7-0.034%19 Jul →
inferno5–13-0.0019%11 Jul →
cache13–90.0718%11 Jul →
mirage13–10-0.0523%11 Jul →
mirage8–13-0.1111%10 Jul →
mirage13–80.0528%7 Jul →
dust213–70.0215%7 Jul →
mirage8–13-0.0317%6 Jul →
ancient12–16-0.037%3 Jul →
mirage5–13-0.0221%6 Jun →
mirage2–13-0.0917%6 Jun →
mirage13–50.0425%6 Jun →
overpass13–5-0.0312%6 Jun →
ancient3–13-0.0119%6 Jun →
dust20–13-0.050%6 Jun →
cache13–9-0.0231%5 Jun →
anubis9–13-0.0418%5 Jun →
mirage11–13-0.0419%5 Jun →
mirage11–130.0318%28 May →
dust213–100.0515%28 May →
cache13–8-0.0119%27 May →
nuke13–110.0126%27 May →
dust214–16-0.0118%27 May →
dust213–40.0215%26 May →
mirage13–00.0221%26 May →
dust213–11-0.0610%26 May →
mirage3–13-0.0620%26 May →
mirage6–13-0.0711%25 May →
dust210–130.0126%25 May →
mirage6–13-0.0520%25 May →
mirage7–00.0213%25 May →
cache7–13-0.0910%17 May →
dust29–13-0.0516%12 May →
cache13–6-0.0712%12 May →
cache9–130.0123%9 May →
mirage12–120.0417%9 May →
cache13–8-0.0110%9 May →
cache13–7-0.0518%9 May →
cache12–12-0.0313%9 May →
mirage7–130.017%9 May →
cache11–13-0.0410%7 May →
vertigo12–12-0.0217%5 May →
mirage10–13-0.0310%5 May →
cache13–20.0219%5 May →
ancient13–50.0410%5 May →
mirage3–13-0.0718%4 May →
dust26–13-0.0824%4 May →
ancient7–13-0.0212%4 May →
mirage13–3-0.0321%4 May →
cache13–20.035%4 May →
mirage13–10-0.0115%1 May →
dust213–60.0615%1 May →
cache13–30.1139%1 May →
cache12–12-0.0523%1 May →
cache13–30.038%30 Apr →
ancient13–70.0219%30 Apr →
dust26–13-0.0611%30 Apr →
mirage13–5-0.0417%30 Apr →
cache9–13-0.0413%29 Apr →
inferno5–130.0215%28 Apr →
dust213–8-0.0528%28 Apr →
mirage13–2-0.0222%27 Apr →
mirage13–50.0013%26 Apr →
inferno9–40.2023%26 Apr →
overpass9–30.0318%26 Apr →
dust27–130.0038%26 Apr →
inferno13–9-0.0319%26 Apr →
mirage12–12-0.0311%26 Apr →
dust29–50.0520%26 Apr →
dust213–11-0.0114%26 Apr →
mirage2–13-0.0811%26 Apr →
mirage10–13-0.0612%26 Apr →
dust213–100.0119%25 Apr →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.