flan

flan — CS2 Stats

US76561199720301861[U:1:1760036133]Steam profile ↗✓ No bans

476Tracked matches48%Win rate2026Tracked since
291Hours in CS
CSDB Rating5.6 SolidOpening Duellist
Premier CS Rating20,000Top 50% of 205,052 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#80934 of 252242 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (25 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: 20,000 +2,570 31 Jul – 21 Sept · 13 days played
17,43020,683peak 20,68331 Jul21 Sept
20,683Peak Premier in tracked matches
28Days played since 2026-07-31

Premier CS Rating

  • 683 below peak (20,683)
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches2——
Win rate0%——
K/D0.41——
Headshot %42%——

Measured 11 Sep 2026 → 16 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 5 among CSDB-tracked players (n=13,918), 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 5 medianLevel 6 medianvs Level 6
Headshot rate44.9%43.7%44.8%meets
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio1.111.021.03above
Match win rate52.1%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGflanFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,000 · Pink bandcsdb.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

Aim82
Positioning47
Utility34

0–100 skill scores via Leetify.

Recent form

COLD53–39–8Last 10053%Win rateLLLLWWTTWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.7pp headshot accuracy · −9ms 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 -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 544ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 566ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.2
Utility3.4
Positioning4.7
Opening Duels5.3
Clutch4.0

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

s1mple

Plays most like s1mple 81% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 596ms 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

Aim8.2
Positioning4.7
Utility3.4
Mechanics5.2
Opening Duels3.9
Win Impact4.4

Composite 5.6/10 (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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time600ms−17ms
first ⅓ avg 617ms → last ⅓ avg 600ms
Headshot accuracy14.7%−0.5%
first ⅓ avg 15.2% → last ⅓ avg 14.7%

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

0.17Best match rating · 13–9 · vertigo, 16 Aug →
34%Best headshot accuracy · 12–12 · dust2, 5 Sept →
422msFastest reaction time · 3–13 · office, 8 Aug →
13–1Biggest win · shelter, 16 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
7–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

officeBest map · 57% over 35ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
officeA3520–1557%0.02
mirageC156–940%0.00
dust2B157–847%0.02
infernoB84–450%-0.01
ancientC83–538%-0.01
nukeA74–357%0.01
cache—41–325%0.00
fachwerk—33–0100%-0.00
anubis—22–0100%-0.06
vertigo—11–0100%0.17
italy—11–0100%-0.00
shelter—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,777Lifetime kills
1.11K/D · Top 50% of Level 5 players
726Matches
52.1%Match win rate · Top 10% of Level 5 players
44.9%Headshot % · Top 50% of Level 5 players
0.0%Shot accuracy
2,290MVPs
291Hours (in match)
471Bombs planted
198Bombs defused

Most-used weapons

Lifetime map wins

1,694dust2
916inferno
862office
660nuke
129vertigo
39train
13italy
1ar_shoots

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

Faceit stats

Combat

240Matches
47%Win rate
1.14Avg K/D
80.2ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7043%1.1416.7
Dust25751%1.0716.8
Cache2642%1.1616.8
Inferno2650%1.1815.9
Ancient2335%1.1018.0
Anubis1765%1.3217.5
Nuke1753%1.1816.9
Overpass333%1.1513.7

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.

15.2%Headshot accuracy
44.8%Accuracy (enemy spotted)
47.1%Spray accuracy
73.3%Counter-strafing
9.2°Preaim
596msReaction time
39.9%T opening success
51.3%CT opening success
0.44Enemies flashed / flash
4.8%Flash assists
11.18HE damage / grenade
3.54Flashes / 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 0.443 — 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 39.9241% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage0–13-0.066%21 Sept →
dust25–13-0.0225%11 Sept →
inferno8–130.0110%8 Sept →
dust22–13-0.1012%7 Sept →
dust213–10-0.0210%6 Sept →
dust213–40.1213%6 Sept →
dust212–120.0634%5 Sept →
nuke12–12-0.029%5 Sept →
nuke16–130.0216%5 Sept →
dust210–130.0318%30 Aug →
inferno13–8-0.0224%30 Aug →
cache8–130.0029%29 Aug →
cache13–100.0217%28 Aug →
nuke11–130.0714%28 Aug →
inferno5–13-0.0113%28 Aug →
inferno9–13-0.0113%20 Aug →
office6–13-0.0415%20 Aug →
office13–30.0313%20 Aug →
office7–130.039%20 Aug →
mirage13–50.0912%19 Aug →
mirage12–120.0110%18 Aug →
mirage10–20.1313%18 Aug →
office3–130.0124%17 Aug →
nuke13–110.048%17 Aug →
mirage5–13-0.007%17 Aug →
vertigo13–90.1717%16 Aug →
italy13–3-0.0015%16 Aug →
shelter13–10.0717%16 Aug →
office8–130.0217%16 Aug →
fachwerk13–10-0.0212%16 Aug →
office10–13-0.003%16 Aug →
fachwerk13–7-0.0113%16 Aug →
office9–130.0617%16 Aug →
office13–10.015%15 Aug →
office10–10.0911%15 Aug →
office13–20.1623%15 Aug →
office13–50.1311%15 Aug →
office13–10.0816%15 Aug →
anubis13–10-0.0911%15 Aug →
office13–11-0.0414%14 Aug →
office13–70.1417%14 Aug →
office12–12-0.0213%13 Aug →
office7–13-0.076%13 Aug →
dust28–130.0726%11 Aug →
office13–7-0.0816%11 Aug →
ancient7–130.0211%10 Aug →
office13–2-0.0119%10 Aug →
office13–70.0714%10 Aug →
office7–13-0.0711%10 Aug →
office12–120.0119%9 Aug →
office12–120.0019%9 Aug →
office11–13-0.0021%9 Aug →
ancient10–13-0.0111%8 Aug →
dust213–90.0311%8 Aug →
office3–13-0.046%8 Aug →
fachwerk13–50.0317%8 Aug →
office9–13-0.0311%8 Aug →
office13–110.0722%8 Aug →
office13–80.1116%8 Aug →
office13–70.018%7 Aug →
office13–7-0.0217%7 Aug →
dust215–190.0010%7 Aug →
office13–6-0.0112%6 Aug →
office10–00.0213%6 Aug →
office6–130.0820%6 Aug →
office13–100.0922%6 Aug →
office13–90.0314%6 Aug →
mirage18–22-0.0210%6 Aug →
mirage12–16-0.0111%5 Aug →
mirage13–8-0.058%5 Aug →
office13–10-0.0018%5 Aug →
mirage13–90.014%3 Aug →
dust213–100.0511%3 Aug →
ancient11–13-0.0216%3 Aug →
ancient13–7-0.033%3 Aug →
inferno1–13-0.0618%2 Aug →
mirage15–15-0.0210%2 Aug →
nuke5–13-0.0116%2 Aug →
inferno13–80.0321%2 Aug →
cache3–13-0.0411%2 Aug →
ancient16–140.0014%2 Aug →
mirage13–100.0320%2 Aug →
mirage13–50.0113%2 Aug →
anubis16–14-0.0310%2 Aug →
nuke13–11-0.0610%2 Aug →
nuke13–50.0519%1 Aug →
ancient5–13-0.0312%1 Aug →
mirage0–13-0.0332%1 Aug →
dust215–15-0.0219%1 Aug →
inferno13–8-0.0216%1 Aug →
dust213–50.1024%1 Aug →
dust213–5-0.0013%1 Aug →
mirage3–13-0.0313%31 Jul →
ancient7–13-0.0532%31 Jul →
inferno13–110.0012%31 Jul →
ancient13–60.0518%31 Jul →
cache11–130.0217%31 Jul →
dust213–70.008%31 Jul →
mirage6–130.0223%31 Jul →
dust29–130.0523%31 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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