BUNNY

BUNNY — CS2 Stats

HU76561198908972369[U:1:948706641]Steam profile ↗✓ No bans

189Tracked matches30%Win rate2021Tracked since
512Hours in CS
CSDB Rating2.8 LearningClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 189 tracked matches. Play, then come back: the next observation lands here.

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. 40 days played since 22 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 3,009 +1,757 22 May25 Jun · 9 days played
1,1493,009peak 3,00922 May25 Jun
3,009Peak Premier in tracked matches
40Days played since 2026-05-22

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.

Performance scores

Aim28
Positioning38
Utility19

0–100 skill scores via Leetify.

Recent form

COLD37558Last 10037%Win rateLLLTWWLLLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · +0.8pp headshot accuracy · +10ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 131 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 700ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 20%
  • Avg reaction 745ms

Last 20

  • 5132 · 25% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 740ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.8 against its own average).

Aim2.8
Utility1.9
Positioning3.8
Opening Duels1.1
Clutch6.0

Limited utility dependence

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

iM

Plays most like iM 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 737ms 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
Positioning3.8
Utility1.9
Mechanics5.5
Opening Duels0.8
Win Impact0.0

Composite 2.8/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time728ms+14ms
first ⅓ avg 715ms → last ⅓ avg 728ms
Headshot accuracy20.7%+5.3%
first ⅓ avg 15.5% → last ⅓ avg 20.7%

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

0.07Best match rating · 12–12 · dust2, 14 Jul
39%Best headshot accuracy · 8–13 · nuke, 14 Jul
430msFastest reaction time · 9–13 · ancient, 27 May
13–1Biggest win · ancient, 12 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
58In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 57% over 21ancientWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoA2112957%-0.04
mirageC2081240%-0.04
nukeC1871139%-0.04
dust2D1741324%-0.03
ancientD81713%-0.05
officeD62433%-0.05
cacheC52340%-0.03
anubis41325%-0.03
vertigo1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,636Lifetime kills
0.60K/D
1,862Matches
33.2%Match win rate
46.4%Headshot % · Top 50% of tracked players
9.0%Shot accuracy
2,462MVPs
512Hours (in match)
941Bombs planted
128Bombs defused

Most-used weapons

Lifetime map wins

2,685inferno
1,265dust2
867nuke
496vertigo
313office
151militia
78lake
73assault

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

Faceit stats

Combat

16Matches
38%Win rate
0.60Avg K/D
62.7ADR
49%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno714%0.508.6
Dust2580%0.7111.8
Ancient250%0.8716.5
Anubis10%0.173.0
Mirage10%0.7512.0

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.

21.2%Headshot accuracy
23.1%Accuracy (enemy spotted)
21.7%Spray accuracy
74.5%Counter-strafing
9.2°Preaim
737msReaction time
33.9%T opening success
32.5%CT opening success
0.38Enemies flashed / flash
3.2%Flash assists
5.80HE damage / grenade
1.52Flashes / 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 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 736.8818ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.3792 — below the 0.5 mark we flag

    Grenade Lineups
  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 33.8616% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–130.0318%13 Aug
mirage8–13-0.0421%13 Aug
nuke6–13-0.0719%11 Aug
nuke12–12-0.087%2 Aug
mirage13–7-0.0328%2 Aug
dust213–6-0.0531%31 Jul
dust27–13-0.0432%31 Jul
dust24–13-0.0614%30 Jul
dust28–13-0.0710%30 Jul
mirage5–13-0.0826%28 Jul
inferno10–13-0.0817%26 Jul
inferno13–4-0.0117%23 Jul
anubis10–13-0.1020%23 Jul
nuke3–13-0.0718%22 Jul
anubis13–50.0419%22 Jul
mirage3–130.0420%21 Jul
dust215–150.0119%21 Jul
ancient6–13-0.0518%21 Jul
inferno13–3-0.0922%21 Jul
dust210–130.0127%21 Jul
inferno2–11-0.0421%21 Jul
dust213–60.0114%18 Jul
dust27–130.0318%18 Jul
nuke13–50.0329%16 Jul
nuke10–13-0.140%15 Jul
nuke11–13-0.0628%15 Jul
nuke8–13-0.0724%14 Jul
dust212–120.0734%14 Jul
nuke8–13-0.0139%14 Jul
inferno13–10-0.0111%14 Jul
anubis4–13-0.0826%13 Jul
mirage13–4-0.0621%12 Jul
ancient13–1-0.0218%12 Jul
ancient7–13-0.0419%10 Jul
nuke13–2-0.0416%10 Jul
inferno13–40.0128%9 Jul
mirage13–3-0.0216%9 Jul
dust212–2-0.0424%9 Jul
nuke13–11-0.0210%6 Jul
dust211–13-0.0319%6 Jul
dust22–13-0.1120%4 Jul
inferno6–13-0.0725%4 Jul
inferno13–11-0.0416%3 Jul
inferno13–8-0.0020%3 Jul
nuke13–9-0.0717%1 Jul
inferno13–11-0.0316%1 Jul
mirage6–13-0.0224%26 Jun
ancient12–12-0.0213%26 Jun
mirage7–13-0.055%26 Jun
dust211–13-0.0619%25 Jun
nuke9–13-0.0518%25 Jun
inferno13–9-0.0313%25 Jun
inferno6–13-0.1015%25 Jun
inferno3–8-0.0319%25 Jun
cache12–12-0.0628%24 Jun
mirage13–2-0.0217%24 Jun
mirage12–12-0.1015%24 Jun
nuke6–130.0021%23 Jun
mirage9–13-0.0513%23 Jun
nuke12–12-0.0621%22 Jun
inferno13–80.0333%21 Jun
nuke9–10.0327%21 Jun
cache13–110.0116%9 Jun
office9–8-0.0018%4 Jun
dust20–6-0.0211%2 Jun
mirage13–7-0.0319%2 Jun
nuke1–13-0.1033%2 Jun
office3–13-0.0613%1 Jun
dust25–13-0.0517%1 Jun
mirage13–1-0.0615%1 Jun
inferno2–5-0.0527%1 Jun
office5–13-0.0616%30 May
office13–10-0.0416%29 May
office9–13-0.0711%29 May
inferno13–60.0212%29 May
inferno4–8-0.0720%29 May
office13–5-0.0712%29 May
mirage10–13-0.0811%29 May
vertigo11–13-0.059%29 May
ancient3–13-0.0920%29 May
cache5–13-0.045%28 May
inferno13–11-0.0517%28 May
mirage3–0-0.000%28 May
mirage13–10-0.0516%28 May
ancient11–13-0.0420%28 May
cache13–5-0.0319%28 May
cache12–12-0.0212%27 May
dust213–8-0.0821%27 May
ancient9–13-0.0517%27 May
nuke16–120.0119%27 May
inferno8–13-0.0424%27 May
nuke13–1-0.0317%27 May
inferno13–6-0.0717%26 May
mirage3–130.0525%26 May
mirage3–13-0.0211%25 May
inferno6–130.0220%25 May
mirage4–13-0.0715%23 May
anubis5–130.0218%23 May
ancient6–13-0.090%22 May
mirage11–13-0.0320%22 May

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 →