Funktas

Funktas — CS2 Stats

NE76561198037912357[U:1:77646629]Steam profile ↗✓ No bans

1,086Tracked matches41%Win rate2020Tracked since
809Hours in CS
CSDB Rating2.1 LearningSupport
Premier CS Rating2,616Grey band · top ~88.9% of ranked players (population est.)
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Jun 2026 (143 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: 2,616 -527 20 May – 24 Jun · 26 days played
2,4533,553peak 3,55320 May24 Jun
3,572Peak Premier in tracked matches
28Days played since 2026-05-20

Premier CS Rating

  • 937 below peak (3,553)
  • -801 over 30 days · declining
  • Next: Light Blue band at 5,000 — 2,384 to go

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate39.4%38.2%39.9%meets
Shot accuracy6.2%3.6%7.0%0.7% short
Kill/death ratio0.950.830.92above
Match win rate44.3%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGFunktasPREMIER2,616 · Grey bandcsdb.gg/stats

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Performance scores

Aim12
Positioning36
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLWWWLLTL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +6.2pp headshot accuracy · −83ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 725ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 693ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 735ms

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 (+1.9 against its own average).

Aim1.2
Utility4.7
Positioning3.6
Opening Duels0.0

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 54% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 711ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim1.2
Positioning3.6
Utility4.7
Mechanics2.2
Opening Duels0.0
Win Impact2.1

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time695ms−17ms
first ⅓ avg 712ms → last ⅓ avg 695ms
Headshot accuracy12.0%−1.1%
first ⅓ avg 13.1% → last ⅓ avg 12.0%

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

0.14Best match rating · 13–1 · nuke, 20 May →
26%Best headshot accuracy · 9–13 · dust2, 31 May →
500msFastest reaction time · 13–6 · ancient, 24 May →
13–1Biggest win · ancient, 31 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
6–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 64% over 11nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3514–2140%-0.02
dust2B178–947%-0.01
infernoB168–850%-0.02
cacheA117–464%-0.04
ancientB115–645%-0.01
nukeD72–529%-0.00
anubis—31–233%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,717Lifetime kills
0.95K/D · Top 25% of Grey band
2,331Matches
44.3%Match win rate · Top 25% of Grey band
39.4%Headshot % · Top 50% of Grey band
6.2%Shot accuracy · Top 50% of Grey band
3,600MVPs
809Hours (in match)
1,694Bombs planted
503Bombs defused

Most-used weapons

AK-478,626
AWP2,610
MP72,373
MP91,115
P90841

Lifetime map wins

4,852dust2
3,036inferno
989nuke
574office
342italy
271train
187lake
160safehouse

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
27.0%Accuracy (enemy spotted)
29.2%Spray accuracy
59.8%Counter-strafing
13.3°Preaim
711msReaction time
25.4%T opening success
23.9%CT opening success
0.48Enemies flashed / flash
2.5%Flash assists
9.64HE damage / grenade
7.49Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.2782° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.0606% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 710.549ms — above the 700ms mark we flag

    Aim Training →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–11-0.0413%24 Jun →
dust213–6-0.0122%24 Jun →
cache5–13-0.0516%24 Jun →
cache13–2-0.0017%24 Jun →
mirage13–6-0.038%24 Jun →
inferno13–90.0221%24 Jun →
mirage5–110.0514%23 Jun →
mirage5–13-0.0514%23 Jun →
nuke15–15-0.0419%23 Jun →
mirage13–14-0.0315%22 Jun →
dust213–110.017%22 Jun →
mirage14–16-0.0214%21 Jun →
cache5–13-0.069%21 Jun →
mirage2–13-0.087%20 Jun →
mirage13–5-0.059%20 Jun →
inferno10–13-0.0017%20 Jun →
inferno5–13-0.098%20 Jun →
dust213–70.068%19 Jun →
nuke13–11-0.0610%19 Jun →
ancient9–130.008%18 Jun →
mirage13–60.099%18 Jun →
dust210–13-0.0310%18 Jun →
mirage3–13-0.058%18 Jun →
inferno4–13-0.093%18 Jun →
cache13–9-0.0517%18 Jun →
dust211–13-0.0116%18 Jun →
inferno10–13-0.044%17 Jun →
mirage6–130.076%17 Jun →
cache4–13-0.0420%17 Jun →
anubis13–10-0.038%17 Jun →
mirage13–4-0.045%16 Jun →
ancient2–13-0.0811%16 Jun →
nuke15–150.0425%16 Jun →
ancient13–50.065%16 Jun →
mirage9–13-0.075%16 Jun →
cache13–20.0014%16 Jun →
cache13–4-0.0011%15 Jun →
cache11–130.028%14 Jun →
dust26–13-0.0113%14 Jun →
mirage13–11-0.006%14 Jun →
mirage13–100.0710%14 Jun →
anubis5–13-0.049%14 Jun →
inferno8–13-0.075%13 Jun →
inferno4–13-0.0116%13 Jun →
nuke5–130.0312%12 Jun →
mirage15–15-0.076%12 Jun →
dust28–13-0.0813%12 Jun →
mirage11–13-0.0112%12 Jun →
inferno11–4-0.047%11 Jun →
mirage4–13-0.115%2 Jun →
mirage13–60.0311%2 Jun →
inferno13–60.0312%1 Jun →
ancient3–13-0.047%1 Jun →
mirage11–13-0.017%1 Jun →
inferno13–60.015%31 May →
dust29–13-0.0326%31 May →
ancient13–10.0714%31 May →
dust24–130.014%30 May →
ancient6–13-0.057%30 May →
ancient8–13-0.038%30 May →
dust213–70.0119%30 May →
nuke8–13-0.0412%30 May →
inferno13–4-0.0120%29 May →
dust213–60.0811%29 May →
ancient3–13-0.0411%28 May →
mirage5–13-0.0510%28 May →
mirage13–60.0312%28 May →
inferno13–2-0.026%28 May →
dust213–110.0419%28 May →
mirage13–4-0.056%28 May →
dust28–13-0.089%28 May →
mirage4–13-0.0614%27 May →
mirage13–90.0113%27 May →
anubis2–13-0.0214%27 May →
mirage4–13-0.0612%27 May →
inferno13–70.109%26 May →
dust210–13-0.0015%26 May →
inferno8–10.0321%25 May →
dust213–80.0011%25 May →
inferno8–13-0.099%25 May →
mirage13–40.0513%25 May →
cache13–11-0.0211%24 May →
mirage12–8-0.0225%24 May →
mirage6–13-0.0210%24 May →
ancient13–30.0021%24 May →
ancient13–6-0.0113%24 May →
nuke4–13-0.1013%24 May →
mirage13–80.029%23 May →
cache13–1-0.1110%23 May →
mirage6–13-0.0811%23 May →
ancient16–130.0014%23 May →
mirage1–13-0.074%22 May →
inferno10–13-0.0018%22 May →
dust24–13-0.1125%21 May →
mirage9–13-0.0914%21 May →
mirage8–130.0211%21 May →
mirage8–13-0.1212%20 May →
cache13–10-0.0917%20 May →
dust213–50.0520%20 May →
nuke13–10.147%20 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 →

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