flan

flan — CS2 Stats

US76561198115823640[U:1:155557912]Steam profile ↗

1,989Tracked matches50%Win rate2020Tracked since
3,375Hours in CS25Hrs last 2 wks
CSDB Rating4.3 Developing
Premier CS Rating18,409Purple band · top ~14.8% of ranked players (population est.)
CSDB Leaderboard#11293 of 21978 tracked
WingmanMaster Guardian II
Ladder ranks via Leetify

Rating over time

18,409Peak Premier on CSDB
1,352Peak Faceit ELO on CSDB
1Days observed since 2026-08-28

Faceit ELO

  • At peak — 1,352
  • Next: Level 8 at 1,531 179 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-28
  • Level 6 first seen 2026-08-28

Premier CS Rating

  • At peak — 18,409
  • Next: Pink band at 20,000 1,591 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate40.0%44.1%47.2%7.2% short
Shot accuracy10.0%11.4%12.7%2.8% short
Kill/death ratio0.931.031.090.16 short
Match win rate44.4%45.2%46.6%2.2% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGflanPREMIER18,409 · Purple bandPEAK ELO1,352csdb.gg/stats

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Performance scores

Aim54
Positioning39
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY45469Last 10045%Win rateLLTWWWLWTW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.4
Aggression3.6
Utility3.5
Positioning3.9
Opening Duels0.7
Clutch5.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 53% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 591ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.4
Positioning3.9
Utility3.5
Mechanics3.9
Opening Duels2.8
Win Impact5.0

Composite 4.3/10 (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-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time610ms+30ms
first ⅓ avg 580ms → last ⅓ avg 610ms
Headshot accuracy18.5%−2.4%
first ⅓ avg 21.0% → last ⅓ avg 18.5%

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.

Highlights

0.15Best rating — nuke 9–7
132Biggest win — dust2
6Longest win streak
L2Current streak
88In matches decided by ≤2 rounds
6Overtime games

Map breakdown

italyBest map · 67% over 6nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2C2491538%0.00
infernoB178947%0.02
cacheB115645%-0.01
officeA95456%0.01
italyS64267%0.05
nukeD62433%0.02
mirageA53260%0.00
shelter43175%-0.00
vertigo31233%0.02
anubis31233%-0.05
overpass3030%-0.02
ancient21150%-0.04
poseidon2020%-0.19
train21150%-0.02
fachwerk110100%-0.05
eldorado110100%0.02
boulder1010%0.02

Across the last 100 tracked matches.

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

Lifetime stats

66,115Lifetime kills
0.93K/D
3,936Matches
44.4%Match win rate
40.0%Headshot %
10.0%Shot accuracy
8,921MVPs
1,449Hours (in match)
4,177Bombs planted
889Bombs defused

Most-used weapons

AK-4717,800
AWP10,511
P2501,834
MAC-101,785
MAG-71,751
XM10141,413

Lifetime map wins

7,251dust2
6,248inferno
3,113nuke
2,265office
2,142train
1,868vertigo
874cbble
325italy

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

Faceit stats

Combat

105Matches
59%Win rate
1.02Avg K/D
62.2ADR
37%Headshot %

Clutches & streaks

47%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1631%1.0212.7
Dust21173%0.7910.3
Nuke850%0.7811.9
Overpass540%0.638.2
Mirage425%0.9012.5
Vertigo3100%0.8210.7
Ancient333%0.7913.0
Cache333%0.8314.0

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
31.2%Accuracy (enemy spotted)
33.0%Spray accuracy
67.4%Counter-strafing
9.1°Preaim
591msReaction time
12.9%T opening success
52.7%CT opening success
0.52Enemies flashed / flash
2.6%Flash assists
10.44HE damage / grenade
4.72Flashes / 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 12.8558% — below the 40% mark we flag

Spend your practice time on Nuke

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 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
italy11–130.1025%27 Aug
dust24–13-0.0226%27 Aug
inferno12–12-0.0418%27 Aug
shelter13–100.0513%27 Aug
italy13–100.1223%23 Aug
office13–10-0.1116%23 Aug
dust28–13-0.0518%22 Aug
cache13–80.026%22 Aug
dust215–150.0216%22 Aug
cache13–10-0.0315%21 Aug
italy13–70.1017%21 Aug
fachwerk13–9-0.0526%21 Aug
office13–50.0818%21 Aug
dust213–2-0.0729%20 Aug
ancient13–60.0513%20 Aug
cache13–160.0217%18 Aug
dust211–130.0111%17 Aug
vertigo11–13-0.0225%16 Aug
poseidon3–9-0.2120%16 Aug
office8–13-0.0133%16 Aug
cache3–13-0.1117%16 Aug
dust213–110.0124%16 Aug
inferno9–13-0.0225%16 Aug
office6–13-0.077%15 Aug
train6–13-0.0513%15 Aug
vertigo6–13-0.0414%15 Aug
poseidon3–9-0.1725%15 Aug
dust211–130.0114%13 Aug
inferno16–130.0120%13 Aug
cache13–10-0.0211%12 Aug
dust213–50.0119%12 Aug
inferno9–13-0.0622%11 Aug
dust28–13-0.0121%11 Aug
cache8–13-0.0647%10 Aug
dust28–13-0.0311%10 Aug
dust28–13-0.067%9 Aug
italy13–3-0.0136%9 Aug
office13–5-0.0627%9 Aug
mirage13–80.0116%9 Aug
mirage13–110.0024%9 Aug
nuke13–8-0.036%9 Aug
mirage1–7-0.0529%9 Aug
inferno13–30.0822%9 Aug
cache6–13-0.0136%9 Aug
mirage13–100.0217%9 Aug
dust213–7-0.0221%9 Aug
nuke7–130.0313%4 Aug
anubis13–10-0.0241%4 Aug
dust213–60.1120%1 Aug
anubis5–13-0.065%30 Jul
italy12–12-0.0013%30 Jul
shelter12–12-0.1012%30 Jul
dust216–14-0.0028%30 Jul
inferno9–4-0.0633%29 Jul
dust215–150.0516%29 Jul
office11–130.1422%29 Jul
overpass1–13-0.0425%29 Jul
office10–130.047%28 Jul
dust212–12-0.0513%28 Jul
inferno13–50.0419%28 Jul
inferno6–13-0.027%27 Jul
dust29–130.038%27 Jul
eldorado9–60.0221%27 Jul
nuke9–70.1517%26 Jul
inferno5–13-0.0226%23 Jul
dust213–80.0717%23 Jul
inferno4–9-0.0324%21 Jul
dust213–40.0820%18 Jul
inferno13–110.039%18 Jul
dust29–13-0.0128%18 Jul
dust213–10-0.0419%18 Jul
mirage0–70.0415%18 Jul
cache13–70.0035%18 Jul
inferno9–70.1417%18 Jul
inferno5–90.0024%16 Jul
inferno7–90.1027%16 Jul
nuke14–160.0620%16 Jul
inferno13–50.1416%16 Jul
nuke10–130.0527%15 Jul
boulder10–130.0230%15 Jul
office13–4-0.0329%15 Jul
shelter13–10-0.0021%15 Jul
vertigo13–90.1433%15 Jul
cache12–12-0.0013%15 Jul
dust212–120.0616%15 Jul
italy13–40.0248%14 Jul
train13–110.0113%14 Jul
inferno13–50.0328%14 Jul
shelter13–40.0415%14 Jul
cache13–70.0024%8 Jul
dust26–130.0321%8 Jul
inferno7–130.0016%6 Jul
anubis11–13-0.0617%6 Jul
ancient4–13-0.140%5 Jul
dust20–13-0.0511%5 Jul
nuke5–9-0.1127%5 Jul
cache9–130.0617%2 Jul
overpass5–13-0.0121%2 Jul
office13–110.1119%30 Jun
overpass12–12-0.0215%30 Jun

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 →