Tusse

Tusse — CS2 Stats

76561198106891148[U:1:146625420]Steam profile ↗✓ No bans

334Tracked matches48%Win rate2020Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating15,617Purple band · top ~25.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,617 → 15,617
0Faceit ELO · 1,522 → 1,522
+5Tracked matches · now 334
0.0ppWin rate · 48.1% → 48.1%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 18 Jan 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,617 +903 26 Jan1 Sept · 14 days played
14,71418,721peak 18,72126 Jan1 Sept
18,721Peak Premier in tracked matches
1,522Highest Faceit ELO seen on CSDB
38Days played since 2025-01-18

Faceit ELO

  • At peak — 1,522
  • Next: Level 8 at 1,531 9 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 3,104 below peak (18,721)
  • Next: Pink band at 20,000 4,383 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTussePREMIER15,617 · Purple bandPEAK ELO1,522csdb.gg/stats

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Performance scores

Aim54
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY46495Last 10046%Win rateWWLWLWLLLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.0pp headshot accuracy · −91ms 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

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 608ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

Last 20

  • 6113 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 641ms

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: SupportUtility contribution stands above the rest of this profile (+1.3 against its own average).

Aim5.4
Utility5.8
Positioning5.8
Opening Duels1.5
Clutch5.0

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 72% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 621ms 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

Aim5.4
Positioning5.8
Utility5.8
Mechanics4.9
Opening Duels1.2
Win Impact4.4

Composite 4.9/10 (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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time623ms−9ms
first ⅓ avg 632ms → last ⅓ avg 623ms
Headshot accuracy15.7%−1.3%
first ⅓ avg 17.0% → last ⅓ avg 15.7%

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

0.21Best match rating · 13–0 · dust2, 19 Feb
40%Best headshot accuracy · 10–13 · dust2, 15 Feb
484msFastest reaction time · 7–13 · inferno, 17 Feb
13–0Biggest win · dust2, 19 Feb

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
65In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 67% over 21dust2Weakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC2291341%-0.01
ancientS2114767%0.01
infernoB158753%-0.00
nukeC156940%-0.01
dust2D91811%0.01
overpassS64267%0.00
trainC52340%-0.01
anubis2020%-0.04
vertigo2020%-0.02
cache110100%-0.01
stronghold110100%0.01
brewery1010%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

641Matches
52%Win rate
1.02Avg K/D
68.4ADR
38%Headshot %

Clutches & streaks

45%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient2669%1.0616.8
Inferno1457%0.8514.1
Nuke1450%0.8912.6
Mirage1164%1.0216.9
Overpass862%1.0716.5
Dust2729%0.9614.3
Train650%0.6612.0
Anubis540%0.7211.6

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.

16.0%Headshot accuracy
36.3%Accuracy (enemy spotted)
36.6%Spray accuracy
72.3%Counter-strafing
11.7°Preaim
621msReaction time
29.5%T opening success
39.7%CT opening success
0.59Enemies flashed / flash
9.2%Flash assists
8.45HE damage / grenade
8.88Flashes / 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 29.5018% — below the 40% mark we flag

Spend your practice time on Dust 2

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–4-0.016%16 Sept
inferno13–8-0.0018%28 Apr
nuke5–13-0.0720%28 Apr
mirage13–8-0.0313%11 Mar
dust29–13-0.0519%11 Mar
inferno13–40.0319%11 Mar
nuke1–13-0.0816%10 Mar
dust28–130.0716%10 Mar
mirage6–130.0124%10 Mar
ancient7–13-0.0014%6 Mar
inferno11–130.0211%6 Mar
dust25–130.0025%6 Mar
mirage15–15-0.0113%6 Mar
nuke16–120.0720%6 Mar
anubis15–15-0.0318%6 Mar
mirage10–130.0521%5 Mar
nuke7–13-0.0518%5 Mar
ancient15–15-0.089%5 Mar
inferno13–9-0.039%5 Mar
ancient10–130.0621%5 Mar
ancient13–110.0721%3 Mar
inferno16–130.027%3 Mar
ancient13–80.0413%1 Mar
anubis8–13-0.0510%1 Mar
inferno10–130.0522%1 Mar
nuke13–30.0221%1 Mar
inferno19–150.0115%1 Mar
mirage13–90.0914%28 Feb
ancient16–120.0213%28 Feb
mirage7–13-0.0422%27 Feb
nuke13–100.0112%27 Feb
inferno5–13-0.048%27 Feb
ancient5–13-0.029%27 Feb
mirage14–16-0.0011%27 Feb
inferno13–70.0122%26 Feb
nuke13–7-0.0114%26 Feb
mirage6–13-0.0415%25 Feb
mirage13–70.0423%25 Feb
ancient13–20.1913%25 Feb
inferno8–13-0.0412%25 Feb
mirage6–13-0.0616%25 Feb
mirage13–11-0.0225%24 Feb
overpass16–130.0110%23 Feb
mirage13–20.0623%23 Feb
ancient13–11-0.029%23 Feb
ancient13–60.0415%23 Feb
overpass13–80.0315%19 Feb
dust213–00.2126%19 Feb
mirage13–10-0.0513%17 Feb
ancient13–10-0.0517%17 Feb
inferno7–13-0.0615%17 Feb
overpass5–13-0.0321%16 Feb
dust210–13-0.0740%15 Feb
ancient13–60.0722%15 Feb
mirage10–13-0.0617%15 Feb
nuke13–50.0219%15 Feb
dust211–130.0320%3 Feb
ancient13–6-0.0611%3 Feb
overpass9–13-0.0220%3 Feb
dust23–13-0.0619%3 Feb
mirage10–130.0116%2 Feb
ancient7–13-0.0218%2 Feb
mirage5–13-0.0410%2 Feb
inferno8–13-0.0524%2 Feb
mirage13–50.0516%2 Feb
inferno4–13-0.0525%28 Jan
mirage4–13-0.0339%28 Jan
ancient13–8-0.0425%28 Jan
inferno13–30.0333%28 Jan
mirage13–8-0.0317%28 Jan
mirage5–13-0.0515%28 Jan
dust26–13-0.0414%28 Jan
stronghold13–60.0129%27 Jan
overpass13–8-0.018%22 Nov
nuke15–15-0.0326%18 Nov
dust28–13-0.0412%7 Nov
ancient9–130.0310%23 Oct
vertigo12–12-0.0114%21 Oct
inferno7–20.100%21 Oct
nuke13–60.0116%18 Oct
ancient13–100.0716%11 Oct
train13–10-0.0124%20 Sept
nuke6–90.0810%15 Sept
brewery4–90.0222%15 Sept
mirage13–11-0.0221%1 Feb
nuke14–16-0.0515%31 Jan
train8–13-0.0124%31 Jan
train14–16-0.0320%31 Jan
mirage7–13-0.0011%29 Jan
ancient13–11-0.0013%29 Jan
ancient13–20.008%26 Jan
nuke13–16-0.0220%26 Jan
ancient6–13-0.0821%21 Jan
train13–8-0.019%21 Jan
nuke6–13-0.0623%21 Jan
ancient16–14-0.0117%20 Jan
train8–13-0.0118%20 Jan
overpass13–20.0328%18 Jan
nuke7–13-0.0210%18 Jan
vertigo4–13-0.0213%18 Jan

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 →