Tuge

Tuge — CS2 Stats

FI76561198285225217[U:1:324959489]Steam profile ↗✓ No bans

1,711Tracked matches47%Win rate2020Tracked since
6,835Hours in CS
CSDB Rating5.8 SolidSupport
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,622 -4,295 6 Feb – 16 May · 28 days played
18,62223,219peak 23,2196 Feb16 May
23,322Peak Premier in tracked matches
53Days played since 2026-02-06

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 Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate55.0%46.8%48.2%above
Shot accuracy14.4%13.0%13.2%above
Kill/death ratio0.811.061.070.26 short
Match win rate43.2%46.3%46.9%3.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTugeFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning48
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–55–1Last 10044%Win rateWWWLWLLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.7pp headshot accuracy · +76ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 653ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 628ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 590ms

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 (+1.8 against its own average).

Aim7.6
Utility5.5
Positioning4.8
Opening Duels1.9
Clutch2.8

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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 574ms 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

Aim7.6
Positioning4.8
Utility5.5
Mechanics7.0
Opening Duels2.7
Win Impact3.9

Composite 5.8/10 (Solid), 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 -0.01 → last ⅓ avg -0.01
Reaction time575ms−106ms
first ⅓ avg 682ms → last ⅓ avg 575ms
Headshot accuracy21.8%−6.6%
first ⅓ avg 28.4% → last ⅓ avg 21.8%

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 · inferno, 21 Sept →
50%Best headshot accuracy · 13–2 · inferno, 21 Sept →
438msFastest reaction time · 8–13 · mirage, 14 Oct →
13–2Biggest win · ancient, 14 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
W3Current streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC2610–1638%-0.01
ancientA1810–856%-0.02
nukeA138–562%0.00
infernoC135–838%-0.00
dust2B115–645%-0.02
anubisD101–910%-0.03
cacheA53–260%-0.01
overpass—42–250%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

229,164Lifetime kills
0.81K/D
9,593Matches
43.2%Match win rate
55.0%Headshot % · Top 25% of Level 8 players
14.4%Shot accuracy · Top 50% of Level 8 players
25,972MVPs
6,835Hours (in match)
13,105Bombs planted
3,171Bombs defused

Most-used weapons

AK-4780,084
AWP30,857
P2505,310
Knife3,620
FAMAS3,314

Lifetime map wins

14,733inferno
10,298train
9,774dust2
7,474nuke
3,854vertigo
1,151cbble
271office
91lake

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

Faceit stats

Combat

2,939Matches
51%Win rate
0.97Avg K/D
71.7ADR
49%Headshot %

Clutches & streaks

34%1v1 clutch win
18%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9056%1.0215.0
Ancient4257%1.0414.1
Nuke3653%0.9314.6
Inferno3342%0.9214.6
Dust23361%1.0716.9
Anubis2236%0.8613.7
Train1377%0.8513.3
Vertigo1258%1.1516.8

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.

21.4%Headshot accuracy
31.6%Accuracy (enemy spotted)
35.2%Spray accuracy
81.4%Counter-strafing
7.7°Preaim
574msReaction time
42.7%T opening success
39.2%CT opening success
0.48Enemies flashed / flash
5.3%Flash assists
8.79HE damage / grenade
13.49Flashes / 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. 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 0.4776 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.1888% — 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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.016%5 Nov →
nuke13–100.0228%5 Nov →
mirage13–60.0126%26 Oct →
dust211–13-0.0043%21 Oct →
ancient13–10-0.0418%21 Oct →
mirage7–13-0.0119%21 Oct →
nuke9–13-0.0621%20 Oct →
inferno8–13-0.099%20 Oct →
ancient13–11-0.108%20 Oct →
nuke19–150.0641%20 Oct →
nuke13–11-0.0314%18 Oct →
anubis4–13-0.0618%17 Oct →
dust213–80.0024%17 Oct →
mirage5–13-0.0124%15 Oct →
mirage5–13-0.0524%15 Oct →
ancient13–20.0719%14 Oct →
mirage8–13-0.0235%14 Oct →
inferno19–150.0615%12 Oct →
ancient2–12-0.0323%11 Oct →
mirage11–13-0.0117%11 Oct →
cache13–40.0126%10 Oct →
cache13–90.0520%9 Oct →
ancient16–14-0.0716%9 Oct →
inferno8–13-0.0836%8 Oct →
mirage3–13-0.0116%8 Oct →
ancient13–6-0.0314%7 Oct →
ancient20–22-0.0412%6 Oct →
inferno7–13-0.0628%6 Oct →
mirage11–130.0130%6 Oct →
mirage8–13-0.0314%5 Oct →
mirage13–90.057%5 Oct →
cache6–13-0.0318%28 Sept →
inferno13–20.1450%21 Sept →
mirage13–9-0.0321%16 Sept →
cache3–13-0.0627%15 Sept →
mirage3–130.0250%10 Sept →
ancient16–130.0014%2 Sept →
mirage13–5-0.0319%2 Sept →
mirage13–8-0.0832%1 Sept →
ancient5–13-0.0530%2 Aug →
ancient13–30.1129%16 May →
anubis6–13-0.0130%16 May →
anubis2–13-0.0715%2 Apr →
mirage13–110.0522%2 Apr →
anubis6–13-0.0335%26 Mar →
ancient8–13-0.0529%23 Mar →
inferno10–13-0.0525%23 Mar →
dust213–9-0.0030%23 Mar →
dust213–7-0.0530%21 Mar →
inferno8–13-0.0223%21 Mar →
ancient11–13-0.0431%21 Mar →
mirage13–80.0232%19 Mar →
ancient8–13-0.0230%17 Mar →
overpass13–90.0230%17 Mar →
nuke7–13-0.0423%15 Mar →
overpass6–13-0.0224%14 Mar →
anubis1–13-0.0416%13 Mar →
anubis5–13-0.035%13 Mar →
nuke13–9-0.0221%13 Mar →
inferno13–80.0321%12 Mar →
overpass13–90.0720%12 Mar →
anubis12–16-0.0322%11 Mar →
nuke13–40.0316%11 Mar →
overpass8–13-0.0729%11 Mar →
mirage13–9-0.0113%10 Mar →
inferno13–90.0323%10 Mar →
dust28–13-0.0442%10 Mar →
inferno11–13-0.0229%10 Mar →
mirage8–130.0933%5 Mar →
anubis6–13-0.0123%5 Mar →
ancient13–11-0.0425%4 Mar →
nuke13–60.0333%24 Feb →
ancient9–13-0.0118%22 Feb →
mirage6–13-0.0429%22 Feb →
ancient6–130.0124%21 Feb →
mirage11–13-0.0126%20 Feb →
dust28–13-0.0034%19 Feb →
anubis9–13-0.0533%19 Feb →
nuke13–70.0125%17 Feb →
mirage15–150.0529%17 Feb →
mirage6–13-0.0330%16 Feb →
dust216–14-0.0621%16 Feb →
inferno11–130.0130%14 Feb →
dust26–13-0.0232%12 Feb →
nuke3–13-0.0430%12 Feb →
mirage13–9-0.0632%12 Feb →
inferno5–130.0125%12 Feb →
anubis13–40.0013%12 Feb →
dust26–13-0.0546%11 Feb →
nuke10–130.1016%11 Feb →
dust26–130.0224%10 Feb →
ancient16–130.0433%10 Feb →
mirage4–13-0.1020%10 Feb →
dust213–80.0336%9 Feb →
mirage13–11-0.0035%9 Feb →
mirage8–13-0.0821%8 Feb →
nuke6–13-0.0750%8 Feb →
ancient16–130.0222%8 Feb →
nuke13–90.0226%8 Feb →
inferno13–9-0.0031%6 Feb →

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 →

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