Furia

Furia — CS2 Stats

PL76561198997630084[U:1:1037364356]Steam profile ↗✓ No bans

696Tracked matches60%Win rate2026Tracked since
415Hours in CS
CSDB Rating3.4 LearningSupport
Premier CS Rating10,879Blue band · top ~50.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (18 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: 10,879 +18 20 Jul – 14 Sept · 5 days played
10,16310,879peak 10,87920 Jul14 Sept
10,879Peak Premier in tracked matches
50Days played since 2026-07-19

Premier CS Rating

  • At peak — 10,879
  • +716 over 30 days · improving
  • Next: Purple band at 15,000 — 4,121 to go
  • Reached: Blue band · Light Blue band

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate41.1%42.0%44.3%3.2% short
Shot accuracy0.1%9.6%11.9%11.8% short
Kill/death ratio0.680.981.030.35 short
Match win rate45.2%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGFuriaPREMIER10,879 · Blue bandcsdb.gg/stats

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Performance scores

Aim28
Positioning26
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLLLWLWWLLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · +1.8pp headshot accuracy · +18ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 703ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 12%
  • Avg reaction 722ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 713ms

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 (+2.4 against its own average).

Aim2.8
Utility4.9
Positioning2.6
Opening Duels0.0

Effective flashes

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

NiKo

Plays most like NiKo 66% 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

Strengths

Flashes. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 726ms 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

Aim2.8
Positioning2.6
Utility4.9
Mechanics4.7
Opening Duels0.0
Win Impact8.3

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.03
first ⅓ avg -0.03 → last ⅓ avg -0.06
Reaction time724ms−45ms
first ⅓ avg 769ms → last ⅓ avg 724ms
Headshot accuracy13.4%−4.2%
first ⅓ avg 17.7% → last ⅓ avg 13.4%

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

0.14Best match rating · 13–2 · nuke, 20 Jul →
45%Best headshot accuracy · 2–13 · mirage, 19 Aug →
422msFastest reaction time · 6–13 · dust2, 12 Sept →
13–0Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
4–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 67% over 21anubisWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC2511–1444%-0.05
dust2C229–1341%-0.04
nukeS2114–767%-0.04
cacheB157–847%-0.06
ancientC104–640%-0.03
anubisD50–50%-0.05
overpass—10–10%-0.28
inferno—11–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,873Lifetime kills
0.68K/D
1,105Matches
45.2%Match win rate · Top 50% of Blue band
41.1%Headshot %
0.1%Shot accuracy
1,655MVPs
415Hours (in match)
1,717Bombs planted
177Bombs defused

Most-used weapons

Lifetime map wins

2,170dust2
827nuke
477inferno
233train
129vertigo
65office
14italy
2ar_shoots

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.

14.0%Headshot accuracy
28.4%Accuracy (enemy spotted)
32.1%Spray accuracy
71.1%Counter-strafing
10.7°Preaim
726msReaction time
23.1%T opening success
29.0%CT opening success
0.81Enemies flashed / flash
2.5%Flash assists
4.96HE 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. 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 13.9887% — below the 15% mark we flag

    Aim Training →
  2. 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 725.7614ms — above the 700ms mark we flag

    Aim Training →
  3. 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 23.0964% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–13-0.047%30 Sept →
cache8–13-0.0713%29 Sept →
cache7–13-0.109%28 Sept →
mirage13–6-0.1217%28 Sept →
mirage6–13-0.035%27 Sept →
nuke13–5-0.0610%24 Sept →
nuke13–8-0.0624%24 Sept →
mirage7–13-0.0913%23 Sept →
overpass1–9-0.280%23 Sept →
mirage13–4-0.0822%23 Sept →
nuke9–13-0.128%22 Sept →
nuke10–13-0.036%20 Sept →
dust213–11-0.0915%18 Sept →
nuke13–11-0.0816%17 Sept →
nuke6–10.020%17 Sept →
nuke13–80.0216%16 Sept →
ancient10–13-0.009%14 Sept →
nuke13–9-0.065%14 Sept →
nuke13–8-0.090%13 Sept →
dust213–10-0.0426%13 Sept →
dust26–13-0.0923%12 Sept →
ancient13–6-0.0517%12 Sept →
dust213–9-0.0717%12 Sept →
mirage13–7-0.0718%10 Sept →
dust213–9-0.0624%9 Sept →
dust24–130.0019%8 Sept →
dust26–13-0.0721%8 Sept →
cache13–30.0121%7 Sept →
dust22–13-0.1017%7 Sept →
ancient13–20.0610%2 Sept →
cache13–8-0.078%28 Aug →
cache11–13-0.1113%28 Aug →
dust28–13-0.0416%25 Aug →
mirage13–11-0.1110%23 Aug →
dust213–60.0925%23 Aug →
mirage7–13-0.058%22 Aug →
mirage12–12-0.093%20 Aug →
cache13–2-0.0217%19 Aug →
mirage2–13-0.0845%19 Aug →
ancient6–13-0.046%19 Aug →
anubis5–13-0.0514%18 Aug →
dust213–2-0.0242%18 Aug →
ancient13–8-0.0217%17 Aug →
anubis11–13-0.078%17 Aug →
cache13–9-0.0713%16 Aug →
mirage10–13-0.1140%16 Aug →
dust25–13-0.0114%15 Aug →
mirage3–13-0.0912%14 Aug →
mirage13–9-0.0526%13 Aug →
mirage13–4-0.0130%12 Aug →
dust210–130.1026%12 Aug →
ancient10–13-0.075%11 Aug →
nuke13–6-0.0312%11 Aug →
cache10–13-0.059%11 Aug →
nuke13–5-0.0813%10 Aug →
dust212–12-0.0513%9 Aug →
mirage12–120.0115%9 Aug →
dust213–0-0.0219%9 Aug →
dust213–16-0.0610%9 Aug →
mirage13–10-0.083%9 Aug →
dust20–3-0.080%9 Aug →
cache13–2-0.0527%8 Aug →
nuke13–6-0.018%7 Aug →
mirage12–12-0.0421%7 Aug →
nuke6–2-0.090%7 Aug →
nuke13–4-0.0017%7 Aug →
nuke10–130.0014%7 Aug →
ancient8–13-0.0215%2 Aug →
mirage11–13-0.0419%2 Aug →
mirage10–13-0.0214%31 Jul →
anubis12–12-0.079%29 Jul →
nuke6–13-0.0817%29 Jul →
dust212–12-0.1110%29 Jul →
anubis6–13-0.047%28 Jul →
dust21–13-0.126%28 Jul →
nuke9–13-0.0316%28 Jul →
nuke13–10-0.0116%27 Jul →
cache1–7-0.080%27 Jul →
mirage13–11-0.0420%27 Jul →
mirage12–12-0.099%26 Jul →
nuke7–13-0.0820%25 Jul →
dust210–13-0.058%24 Jul →
cache12–12-0.0715%24 Jul →
anubis8–13-0.0237%23 Jul →
mirage13–10.1039%23 Jul →
cache13–9-0.0729%23 Jul →
nuke9–13-0.0629%23 Jul →
dust213–5-0.0319%23 Jul →
mirage8–130.0718%22 Jul →
cache6–13-0.0018%21 Jul →
dust213–3-0.0313%21 Jul →
mirage13–70.0220%21 Jul →
ancient4–13-0.078%20 Jul →
nuke13–20.1426%20 Jul →
inferno13–30.0223%20 Jul →
ancient13–9-0.0316%19 Jul →
mirage13–7-0.0228%19 Jul →
cache13–6-0.0917%19 Jul →
mirage10–13-0.0518%19 Jul →
cache11–13-0.0227%19 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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