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Toxic_Bunnyza — CS2 Stats

76561198045387073[U:1:85121345]

1,702Tracked matches37%Win rate2020Tracked since
1,783Hours in CS5Hrs last 2 wks
CSDB Rating2.3 Learning
Premier CS Rating1,148Grey band · top ~95.1% of ranked players (population est.)
CSDB Leaderboard#13027 of 16778 tracked
Ladder ranks via Leetify

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CSDB.GGToxic_BunnyzaPREMIER1,148 · Grey bandcsdb.gg/stats

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Performance scores

Aim18
Positioning24
Utility39

0–100 skill scores via Leetify.

Recent form

COLD33–65–2Last 10033%Win rateLLWLLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim1.8
Aggression0.0
Utility3.9
Positioning2.4
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.

Your pro match

NiKo

Plays most like NiKo 59% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 830ms 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

Aim1.8
Positioning2.4
Utility3.9
Mechanics5.7
Opening Duels0.0
Win Impact0.6

Composite 2.3/10 (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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time814ms+1ms
first ⅓ avg 814ms → last ⅓ avg 814ms
Headshot accuracy9.5%+0.6%
first ⅓ avg 8.9% → last ⅓ avg 9.5%

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.

Highlights

0.06Best rating — dust2 13–4
13–0Biggest win — dust2
4Longest win streak
L2Current streak
4–11In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 43% over 21ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D3511–2431%-0.04
infernoD288–2029%-0.04
mirageC219–1243%-0.04
ancientD50–50%-0.08
anubisD51–420%-0.07
nuke—32–167%-0.04
cache—11–0100%-0.03
train—10–10%-0.01
overpass—11–0100%-0.00

Across the last 100 tracked matches.

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

Lifetime stats

28,690Lifetime kills
0.62K/D
2,706Matches
35.3%Match win rate
30.0%Headshot %
8.8%Shot accuracy
2,260MVPs
1,024Hours (in match)
2,440Bombs planted
550Bombs defused

Most-used weapons

M4A4 / M4A1-S6,770
AK-475,491
Galil AR2,308
AUG1,463
Desert Eagle1,377
AWP1,312
Glock-181,309
P901,287
SG 5531,130
P2000 / USP-S1,102

Lifetime map wins

6,973dust2
4,495inferno
556nuke
492vertigo
269train
82cbble
21office
10lake

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.

9.4%Headshot accuracy
28.0%Accuracy (enemy spotted)
28.6%Spray accuracy
75.7%Counter-strafing
10.1°Preaim
830msReaction time
16.6%T opening success
25.3%CT opening success
0.62Enemies flashed / flash
3.0%Flash assists
11.82HE damage / grenade
2.53Flashes / 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 9.3712% — 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 830.1672ms — above the 700ms mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5295 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.107%26 Aug →
inferno2–13-0.068%26 Aug →
dust213–8-0.0519%26 Aug →
mirage8–13-0.116%24 Aug →
inferno6–13-0.096%24 Aug →
inferno3–13-0.068%24 Aug →
dust21–13-0.0711%24 Aug →
mirage11–13-0.035%12 Aug →
inferno6–13-0.080%12 Aug →
dust213–9-0.0611%12 Aug →
mirage10–13-0.039%12 Aug →
inferno5–13-0.069%10 Aug →
dust213–6-0.0417%10 Aug →
dust213–5-0.0313%10 Aug →
dust210–13-0.080%10 Aug →
mirage12–16-0.092%9 Aug →
nuke16–120.0110%9 Aug →
ancient10–13-0.078%9 Aug →
cache13–6-0.0313%9 Aug →
inferno13–9-0.0415%9 Aug →
dust210–13-0.0422%9 Aug →
dust213–5-0.0211%7 Aug →
nuke13–10-0.046%7 Aug →
dust29–13-0.0520%7 Aug →
anubis10–13-0.113%7 Aug →
ancient3–13-0.073%7 Aug →
train1–13-0.0115%7 Aug →
inferno13–8-0.0010%7 Aug →
anubis13–3-0.048%1 Aug →
mirage7–13-0.038%1 Aug →
dust211–130.0312%1 Aug →
inferno6–13-0.067%1 Aug →
ancient3–13-0.059%1 Aug →
inferno7–13-0.0211%30 Jul →
inferno6–13-0.078%30 Jul →
mirage13–10.0323%30 Jul →
inferno11–13-0.0210%27 Jul →
mirage2–13-0.127%27 Jul →
inferno10–13-0.0712%27 Jul →
dust24–13-0.0717%27 Jul →
mirage13–7-0.0318%27 Jul →
dust21–13-0.0714%27 Jul →
nuke3–13-0.080%25 Jul →
anubis13–16-0.089%25 Jul →
mirage2–13-0.110%25 Jul →
inferno2–13-0.060%25 Jul →
dust210–13-0.033%25 Jul →
mirage13–9-0.016%22 Jul →
dust24–13-0.0823%22 Jul →
inferno7–13-0.097%22 Jul →
mirage3–13-0.036%22 Jul →
inferno11–130.0110%22 Jul →
mirage13–9-0.050%21 Jul →
inferno13–100.0011%18 Jul →
dust213–00.0519%18 Jul →
dust211–13-0.0224%18 Jul →
ancient11–13-0.115%18 Jul →
inferno5–13-0.0827%17 Jul →
ancient7–13-0.124%17 Jul →
dust29–13-0.0816%17 Jul →
inferno10–13-0.066%12 Jul →
dust213–6-0.0313%12 Jul →
dust210–13-0.0115%12 Jul →
overpass13–7-0.0016%2 Jul →
inferno13–5-0.0330%2 Jul →
inferno13–10.0132%28 Jun →
dust211–13-0.077%24 Jun →
inferno5–13-0.048%24 Jun →
dust213–110.0318%24 Jun →
dust29–130.0414%24 Jun →
mirage16–14-0.0410%22 Jun →
mirage11–13-0.0912%17 Jun →
mirage11–13-0.0210%17 Jun →
dust213–40.0610%14 Jun →
mirage13–30.055%14 Jun →
inferno13–70.028%13 Jun →
mirage13–4-0.012%13 Jun →
dust22–13-0.096%11 Jun →
mirage13–40.0017%11 Jun →
inferno7–130.038%9 Jun →
anubis6–13-0.035%9 Jun →
inferno13–70.0211%9 Jun →
dust213–16-0.0312%9 Jun →
dust213–10-0.007%27 May →
inferno6–13-0.0410%24 May →
dust213–90.0220%24 May →
dust215–15-0.057%22 May →
dust27–13-0.066%22 May →
anubis6–13-0.106%20 May →
dust215–15-0.059%20 May →
inferno4–13-0.090%20 May →
dust25–13-0.0410%20 May →
dust26–13-0.1111%20 May →
dust23–13-0.115%20 May →
mirage13–11-0.0410%19 May →
dust28–13-0.049%19 May →
inferno13–11-0.1011%15 May →
mirage11–13-0.076%15 May →
dust29–13-0.037%15 May →
inferno11–13-0.043%15 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 →

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