toona

toona — CS2 Stats

US76561198082422998[U:1:122157270]Steam profile ↗✓ No bans

1,987Tracked matches39%Win rate2020Tracked since
4,901Hours in CS5Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (39 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,024 → 1,024
+7Tracked matches · now 1,987
+3.6ppWin rate · 35.7% → 39.3%

Rating over time

Premier CS Rating: 21,569 +2,218 26 Nov – 9 Apr · 3 days played
19,35121,569peak 21,56926 Nov9 Apr
21,569Peak Premier in tracked matches
1,024Highest Faceit ELO seen on CSDB
37Days played since 2025-11-25

Faceit ELO

  • At peak — 1,024
  • Next: Level 5 at 1,051 — 27 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-18
  • Level 3 first seen 2026-09-18

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.GGtoonaPEAK ELO1,024csdb.gg/stats

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Performance scores

Aim59
Positioning51
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY39–49–12Last 10039%Win rateWWTWWWLLTW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · −0.5pp headshot accuracy · +12ms reaction

Win rate up 40pp 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

  • 4–0–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 619ms

Last 10

  • 6–2–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 613ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 607ms

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 (+1.7 against its own average).

Aim5.9
Utility5.9
Positioning5.1
Opening Duels1.8
Clutch4.0

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 79% 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. 603ms 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

Aim5.9
Positioning5.1
Utility5.9
Mechanics7.0
Opening Duels0.5
Win Impact1.4

Composite 4.4/10 (Developing), 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+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time615ms−21ms
first ⅓ avg 636ms → last ⅓ avg 615ms
Headshot accuracy17.0%+0.8%
first ⅓ avg 16.2% → last ⅓ avg 17.0%

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

0.12Best match rating · 13–1 · mirage, 9 Apr →
67%Best headshot accuracy · 5–2 · cache, 10 May →
453msFastest reaction time · 8–2 · dust2, 26 Nov →
13–0Biggest win · mirage, 26 Jan →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
2–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 50% over 6infernoWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%-0.03
mirageC208–1240%-0.03
infernoD153–1220%-0.03
ancientB136–746%-0.03
nukeD92–722%-0.02
cacheB63–350%-0.04
anubis—41–325%-0.02
train—21–150%-0.00
overpass—21–150%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

102,707Lifetime kills
0.84K/D
5,626Matches
43.5%Match win rate
46.6%Headshot % · Top 50% of tracked players
12.4%Shot accuracy · Top 50% of tracked players
10,035MVPs
2,723Hours (in match)
10,991Bombs planted
1,499Bombs defused

Most-used weapons

AK-4743,727
AWP3,663
MAC-102,912
P2502,608
FAMAS2,392
MP92,018

Lifetime map wins

10,858dust2
8,598inferno
4,236train
3,653nuke
3,076vertigo
1,191cbble
177office
40lake

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

Faceit stats

Combat

226Matches
46%Win rate
0.78Avg K/D
79.3ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2343%0.8913.4
Dust21833%0.8616.0
Ancient1258%1.3216.4
Inferno838%0.9312.8
Anubis520%0.7112.4
Nuke540%1.0816.4
Overpass250%0.9014.0

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.

16.5%Headshot accuracy
32.5%Accuracy (enemy spotted)
36.2%Spray accuracy
81.6%Counter-strafing
11.3°Preaim
603msReaction time
31.1%T opening success
32.7%CT opening success
0.61Enemies flashed / flash
9.3%Flash assists
10.67HE damage / grenade
11.28Flashes / 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 31.1033% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0518%18 Oct →
dust213–60.0111%18 Oct →
mirage12–12-0.0417%18 Oct →
ancient13–4-0.0625%18 Oct →
dust213–70.0318%18 Oct →
train13–10.028%18 Oct →
dust28–13-0.0723%27 Sept →
nuke7–13-0.028%6 Aug →
anubis15–150.0321%5 Aug →
cache13–10.0313%26 Jul →
inferno8–13-0.079%26 Jul →
mirage7–13-0.1026%28 Jun →
nuke8–13-0.0515%28 Jun →
ancient11–13-0.0615%28 Jun →
mirage8–13-0.0516%28 Jun →
ancient5–13-0.0221%2 Jun →
ancient13–80.0315%1 Jun →
dust29–130.0126%1 Jun →
nuke7–13-0.0114%26 May →
dust213–8-0.0810%24 May →
cache6–13-0.0911%10 May →
cache1–13-0.0111%10 May →
cache5–2-0.0767%10 May →
cache13–11-0.0118%29 Apr →
cache9–13-0.0918%29 Apr →
dust213–10.047%27 Apr →
inferno5–13-0.0115%27 Apr →
ancient8–13-0.029%27 Apr →
dust28–13-0.0113%27 Apr →
dust28–13-0.0122%26 Apr →
inferno12–120.0019%26 Apr →
dust216–120.0211%9 Apr →
mirage13–10.1214%9 Apr →
dust213–6-0.0127%8 Apr →
anubis10–13-0.0610%4 Apr →
dust25–13-0.0710%4 Apr →
nuke13–5-0.0010%4 Apr →
ancient9–13-0.057%4 Apr →
mirage10–13-0.055%4 Apr →
train10–13-0.0216%21 Mar →
ancient12–12-0.0315%21 Mar →
dust212–12-0.0216%21 Mar →
mirage12–12-0.0617%20 Mar →
mirage11–13-0.103%14 Mar →
dust213–8-0.037%14 Mar →
mirage13–40.019%12 Mar →
anubis13–6-0.0310%12 Mar →
nuke12–120.019%12 Mar →
inferno13–9-0.0315%12 Mar →
dust212–12-0.0424%12 Mar →
ancient6–13-0.0316%9 Mar →
mirage8–13-0.0516%9 Mar →
inferno5–13-0.0219%8 Mar →
mirage5–13-0.0511%8 Mar →
dust213–7-0.0510%8 Mar →
inferno5–11-0.0316%8 Mar →
ancient3–13-0.0317%8 Mar →
mirage13–100.0213%6 Mar →
dust24–13-0.0517%6 Mar →
overpass10–13-0.076%6 Mar →
nuke8–13-0.0320%5 Mar →
dust215–150.0115%5 Mar →
mirage11–13-0.1223%5 Mar →
mirage13–6-0.0313%5 Mar →
inferno10–13-0.0817%5 Mar →
anubis1–13-0.043%1 Mar →
dust26–13-0.0819%1 Mar →
ancient13–9-0.0521%1 Mar →
mirage13–70.0215%1 Mar →
dust24–13-0.0811%1 Mar →
ancient13–80.0414%28 Jan →
mirage13–60.0715%28 Jan →
dust213–8-0.0014%28 Jan →
ancient13–5-0.0120%28 Jan →
dust25–13-0.0716%28 Jan →
mirage13–0-0.1025%26 Jan →
dust212–12-0.0521%26 Jan →
nuke9–13-0.038%25 Jan →
inferno13–110.0413%25 Jan →
mirage7–13-0.0417%25 Jan →
inferno6–130.0126%14 Jan →
nuke5–13-0.1014%14 Jan →
overpass13–4-0.038%14 Jan →
dust213–10-0.0323%14 Jan →
inferno11–13-0.0316%6 Jan →
dust212–120.008%6 Jan →
inferno11–130.0024%27 Dec →
inferno13–10-0.0615%9 Dec →
dust212–12-0.0617%9 Dec →
inferno11–13-0.0424%5 Dec →
nuke13–20.0725%3 Dec →
dust213–50.0111%3 Dec →
mirage10–13-0.0621%3 Dec →
ancient13–3-0.086%26 Nov →
mirage13–10-0.0414%26 Nov →
inferno7–13-0.0912%26 Nov →
dust28–2-0.0718%26 Nov →
inferno8–13-0.0014%25 Nov →
dust213–8-0.0217%25 Nov →
mirage11–13-0.0313%25 Nov →

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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