Bunnyduck — CS2 Stats

FI76561198072542920[U:1:112277192]Steam profile ↗

1,611Tracked matches55%Win rate2020Tracked since

CSDB Rating5.5 Solid

Premier CS Rating21,655Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim59

Positioning50

Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53–46–1Last 10053%Win rateLLLWWLWWWL

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim5.9

Aggression4.5

Utility5.7

Positioning5.0

Opening Duels0.9

Clutch2.0

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

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 598ms 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

Positioning5.0

Utility5.7

Mechanics6.6

Opening Duels0.9

Win Impact6.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time601ms−32ms

first ⅓ avg 633ms → last ⅓ avg 601ms

Headshot accuracy14.8%−0.1%

first ⅓ avg 14.9% → last ⅓ avg 14.8%

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.

Highlights

0.11Best rating — inferno 13–9

13–2Biggest win — ancient

4Longest win streak

L3Current streak

8–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

ancientBest map · 75% over 20cacheWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	A	23	13–10	57%	-0.01
ancient	S	20	15–5	75%	-0.01
dust2	C	17	6–11	35%	-0.02
inferno	B	14	7–7	50%	-0.00
mirage	S	9	6–3	67%	-0.02
overpass	B	8	4–4	50%	-0.00
cache	D	7	2–5	29%	-0.02
anubis	—	2	0–2	0%	-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

276Matches

45%Win rate

0.88Avg K/D

66.4ADR

39%Headshot %

Clutches & streaks

30%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsWLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	44	45%	0.91	14.0
Ancient	36	47%	0.82	12.1
Inferno	28	39%	0.84	13.5
Dust2	18	39%	0.72	12.7
Overpass	16	50%	0.85	13.1
Mirage	12	33%	0.93	13.9
Anubis	4	25%	0.77	11.8
Train	3	33%	0.83	7.7

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.

14.7%Headshot accuracy

32.0%Accuracy (enemy spotted)

35.7%Spray accuracy

79.8%Counter-strafing

9.9°Preaim

598msReaction time

29.7%T opening success

37.3%CT opening success

0.66Enemies flashed / flash

4.6%Flash assists

10.27HE damage / grenade

10.28Flashes / 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.

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 14.7274% — below the 15% mark we flag
Aim Training →
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 29.7083% — below the 40% mark we flag

Spend your practice time on Cache

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	8–13	-0.02	9%	24 Aug →
cache	8–13	-0.08	26%	24 Aug →
cache	11–13	-0.06	14%	23 Aug →
ancient	13–4	0.04	14%	23 Aug →
nuke	13–9	-0.00	26%	23 Aug →
nuke	5–13	-0.06	7%	16 Aug →
inferno	13–11	-0.06	20%	14 Aug →
mirage	13–7	-0.01	13%	14 Aug →
dust2	13–5	-0.06	6%	14 Aug →
ancient	8–13	0.00	14%	14 Aug →
ancient	13–10	-0.04	8%	12 Aug →
inferno	10–13	-0.05	20%	12 Aug →
mirage	11–13	-0.04	21%	11 Aug →
cache	8–13	-0.03	11%	11 Aug →
ancient	13–2	0.01	6%	11 Aug →
inferno	10–13	-0.07	21%	7 Aug →
cache	13–6	0.01	19%	7 Aug →
ancient	13–6	0.04	12%	7 Aug →
mirage	13–8	-0.00	12%	7 Aug →
nuke	13–10	0.03	15%	7 Aug →
mirage	10–13	-0.01	30%	4 Aug →
inferno	7–13	0.04	8%	4 Aug →
cache	13–10	0.03	23%	4 Aug →
nuke	16–12	-0.03	7%	3 Aug →
dust2	13–2	0.03	16%	3 Aug →
ancient	13–10	-0.05	11%	3 Aug →
cache	15–15	-0.01	19%	3 Aug →
anubis	9–13	-0.02	10%	31 Jul →
mirage	13–11	-0.02	4%	31 Jul →
dust2	8–13	0.01	13%	31 Jul →
nuke	13–7	-0.02	9%	31 Jul →
ancient	13–11	-0.02	20%	31 Jul →
ancient	13–2	0.03	24%	30 Jul →
cache	11–13	-0.00	17%	30 Jul →
inferno	13–9	0.03	15%	30 Jul →
dust2	9–13	-0.02	13%	5 Jul →
ancient	13–4	-0.03	13%	5 Jul →
nuke	13–10	-0.04	20%	5 Jul →
nuke	7–13	-0.09	11%	29 Mar →
mirage	13–10	-0.03	26%	29 Mar →
nuke	13–8	0.04	13%	27 Mar →
overpass	13–11	0.05	12%	26 Mar →
nuke	4–13	-0.05	8%	26 Mar →
inferno	14–16	0.04	11%	26 Mar →
dust2	13–11	-0.05	25%	26 Mar →
dust2	10–13	-0.05	23%	26 Mar →
dust2	13–10	-0.02	26%	25 Mar →
dust2	8–13	-0.00	17%	25 Mar →
ancient	9–13	-0.05	8%	25 Mar →
inferno	13–10	0.05	9%	25 Mar →
nuke	3–8	-0.04	5%	25 Mar →
inferno	13–9	0.11	21%	25 Mar →
dust2	9–13	-0.05	19%	22 Mar →
mirage	13–5	-0.04	25%	22 Mar →
nuke	7–13	0.01	12%	21 Mar →
overpass	3–13	-0.02	33%	21 Mar →
mirage	13–11	-0.01	16%	21 Mar →
overpass	13–16	0.04	16%	20 Mar →
inferno	13–10	-0.01	16%	20 Mar →
dust2	14–16	0.02	25%	20 Mar →
overpass	8–13	-0.02	16%	19 Mar →
nuke	13–7	0.02	12%	19 Mar →
ancient	13–11	-0.01	9%	19 Mar →
overpass	16–14	0.02	14%	18 Mar →
ancient	13–7	-0.01	11%	18 Mar →
nuke	7–13	0.01	12%	18 Mar →
ancient	13–3	0.01	13%	18 Mar →
nuke	13–6	0.00	14%	18 Mar →
nuke	11–13	0.02	24%	17 Mar →
nuke	3–13	-0.10	13%	17 Mar →
ancient	13–8	-0.02	16%	16 Mar →
ancient	13–9	0.05	10%	16 Mar →
nuke	10–13	-0.03	9%	15 Mar →
inferno	13–10	-0.08	23%	15 Mar →
anubis	8–13	-0.02	7%	14 Mar →
nuke	13–7	0.06	13%	14 Mar →
dust2	13–16	-0.06	20%	14 Mar →
overpass	13–7	-0.01	16%	14 Mar →
inferno	8–13	0.05	24%	14 Mar →
nuke	13–10	-0.02	20%	14 Mar →
ancient	10–13	-0.01	15%	14 Mar →
dust2	10–13	-0.08	11%	14 Mar →
inferno	6–13	-0.06	9%	14 Mar →
overpass	8–13	-0.03	15%	13 Mar →
mirage	8–13	-0.05	11%	13 Mar →
inferno	10–13	-0.05	11%	13 Mar →
dust2	7–13	0.03	22%	13 Mar →
nuke	13–6	0.02	8%	13 Mar →
nuke	13–7	-0.01	12%	12 Mar →
dust2	13–7	-0.06	9%	12 Mar →
ancient	13–16	-0.06	16%	12 Mar →
ancient	4–13	-0.03	17%	9 Mar →
dust2	8–13	-0.02	9%	9 Mar →
inferno	13–4	-0.00	29%	9 Mar →
dust2	13–10	-0.01	24%	7 Mar →
ancient	13–8	-0.00	26%	7 Mar →
nuke	9–13	-0.06	10%	7 Mar →
nuke	13–6	-0.01	10%	7 Mar →
ancient	13–10	0.01	18%	6 Mar →
overpass	13–3	-0.05	2%	6 Mar →