BEARZILLA -- — CS2 Stats

76561197987289098[U:1:27023370]Steam profile ↗✓ No bans

1,625Tracked matches54%Win rate2020Tracked since

CSDB Rating7.1 StrongAggressive Rifler

Premier CS Rating23,123Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.1% of ranked players (population est.)

CSDB Leaderboard#7272 of 31918 tracked

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning52

Utility74

0–100 skill scores via Leetify.

Recent form

HOT50–44–6Last 10050%Win rateWWLWWWWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.4

Aggression9.9

Utility7.4

Positioning5.2

Opening Duels4.2

Clutch10.0

Strong CT-side openerReliable in 1v1s

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 device 93% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim8.4

Positioning5.2

Utility7.4

Mechanics8.2

Opening Duels4.2

Win Impact6.2

Composite 7.1/10 (Strong), 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 rating0.02+0.02

first ⅓ avg 0.00 → last ⅓ avg 0.02

Reaction time598ms−60ms

first ⅓ avg 657ms → last ⅓ avg 598ms

Headshot accuracy16.9%−0.1%

first ⅓ avg 17.0% → last ⅓ avg 16.9%

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

0.14Best rating — dust2 13–9

13–1Biggest win — cache

5Longest win streak

W2Current streak

9–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 64% over 11mirageWeakest map · 36% over 14

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	33	18–15	55%	0.01
cache	B	18	9–9	50%	-0.00
mirage	C	14	5–9	36%	0.01
anubis	A	11	7–4	64%	0.01
ancient	B	10	5–5	50%	0.00
inferno	A	9	5–4	56%	0.03
nuke	—	3	1–2	33%	-0.03
overpass	—	2	0–2	0%	-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

201Matches

55%Win rate

1.15Avg K/D

83.7ADR

39%Headshot %

Clutches & streaks

86%1v1 clutch win

14%1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	17	47%	1.10	17.4
Dust2	9	67%	1.35	19.4
Ancient	8	62%	1.45	19.0
Anubis	7	57%	1.41	18.7
Inferno	6	50%	1.13	16.0
Overpass	4	50%	1.43	19.3
Vertigo	3	100%	1.18	21.7
Nuke	2	100%	1.04	15.5

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.

17.2%Headshot accuracy

36.5%Accuracy (enemy spotted)

42.5%Spray accuracy

86.9%Counter-strafing

7.2°Preaim

609msReaction time

36.2%T opening success

57.0%CT opening success

0.69Enemies flashed / flash

9.2%Flash assists

11.04HE damage / grenade

13.81Flashes / 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.

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 36.2219% — below the 40% mark we flag

Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–11	0.02	19%	29 Aug →
anubis	13–10	0.02	4%	28 Aug →
dust2	8–13	-0.02	13%	28 Aug →
mirage	13–8	0.01	19%	28 Aug →
inferno	11–2	0.08	21%	28 Aug →
cache	13–5	0.13	16%	28 Aug →
ancient	7–1	-0.02	25%	28 Aug →
mirage	10–13	0.01	27%	28 Aug →
mirage	9–13	0.03	14%	26 Aug →
inferno	13–8	0.06	27%	26 Aug →
nuke	8–13	-0.03	24%	25 Aug →
dust2	13–7	-0.00	10%	25 Aug →
anubis	13–9	0.04	19%	25 Aug →
dust2	13–11	0.04	24%	24 Aug →
ancient	15–15	0.06	15%	24 Aug →
dust2	11–13	-0.00	22%	23 Aug →
dust2	13–9	0.14	19%	23 Aug →
dust2	7–13	-0.07	20%	23 Aug →
cache	13–9	0.13	17%	23 Aug →
anubis	13–5	-0.01	18%	21 Aug →
anubis	7–13	-0.03	13%	21 Aug →
cache	11–13	0.05	15%	21 Aug →
mirage	15–15	0.00	16%	21 Aug →
dust2	13–3	0.01	11%	20 Aug →
dust2	7–13	0.04	19%	20 Aug →
cache	9–13	-0.05	13%	20 Aug →
ancient	13–7	0.01	17%	18 Aug →
anubis	2–13	-0.04	5%	18 Aug →
inferno	14–16	0.01	19%	18 Aug →
mirage	2–13	-0.01	13%	17 Aug →
anubis	13–5	0.06	14%	17 Aug →
inferno	13–8	0.07	18%	17 Aug →
ancient	10–13	-0.09	8%	16 Aug →
anubis	10–13	-0.00	21%	16 Aug →
cache	7–13	-0.04	10%	16 Aug →
dust2	5–13	-0.06	20%	16 Aug →
ancient	13–4	0.05	25%	15 Aug →
mirage	7–13	0.06	21%	15 Aug →
anubis	11–13	-0.04	7%	15 Aug →
mirage	13–8	0.00	15%	14 Aug →
dust2	11–13	-0.03	23%	14 Aug →
dust2	13–10	-0.00	20%	14 Aug →
ancient	4–13	-0.05	24%	14 Aug →
cache	6–13	-0.03	18%	14 Aug →
dust2	13–7	-0.01	9%	13 Aug →
dust2	13–4	0.05	16%	13 Aug →
mirage	8–13	0.00	23%	13 Aug →
dust2	13–10	0.03	23%	13 Aug →
dust2	9–13	-0.04	11%	12 Aug →
anubis	13–7	-0.00	17%	12 Aug →
mirage	13–8	0.05	13%	12 Aug →
dust2	8–13	-0.00	23%	12 Aug →
inferno	8–13	0.01	22%	12 Aug →
ancient	13–7	0.10	23%	11 Aug →
cache	4–13	-0.06	8%	11 Aug →
dust2	16–14	-0.01	18%	11 Aug →
mirage	13–10	-0.04	9%	10 Aug →
cache	13–3	0.04	15%	10 Aug →
cache	8–13	-0.02	7%	4 Aug →
dust2	5–13	-0.06	9%	4 Aug →
dust2	4–13	-0.01	38%	4 Aug →
dust2	13–6	0.08	18%	3 Aug →
dust2	13–9	0.11	22%	2 Aug →
anubis	13–11	0.03	8%	2 Aug →
cache	13–11	0.00	12%	30 Jul →
dust2	13–11	0.05	16%	30 Jul →
cache	12–12	-0.05	9%	29 Jul →
inferno	5–13	-0.03	13%	29 Jul →
dust2	11–13	-0.01	17%	28 Jul →
cache	13–1	0.02	23%	28 Jul →
mirage	14–16	-0.01	16%	28 Jul →
dust2	13–11	-0.02	15%	27 Jul →
cache	13–8	-0.05	17%	26 Jul →
ancient	15–15	-0.08	6%	26 Jul →
inferno	13–8	0.04	18%	26 Jul →
dust2	13–11	0.01	13%	24 Jul →
nuke	10–13	0.00	23%	22 Jul →
cache	15–15	-0.03	9%	22 Jul →
ancient	13–5	0.05	19%	22 Jul →
mirage	13–6	0.09	29%	22 Jul →
dust2	13–11	-0.02	14%	5 Jun →
dust2	13–4	0.02	17%	5 Jun →
mirage	10–13	0.05	13%	1 Jun →
dust2	14–16	0.05	10%	31 May →
dust2	7–13	-0.04	20%	26 May →
dust2	12–12	0.10	15%	20 May →
anubis	13–5	0.04	17%	18 May →
overpass	7–13	0.04	12%	18 May →
cache	7–13	0.02	19%	30 Apr →
cache	13–7	0.00	20%	30 Apr →
cache	13–6	-0.14	8%	30 Apr →
nuke	13–8	-0.05	23%	25 Apr →
dust2	13–6	0.08	17%	25 Apr →
dust2	10–13	-0.04	3%	11 Apr →
inferno	9–13	0.01	19%	11 Apr →
mirage	4–13	-0.09	23%	5 Apr →
dust2	13–8	0.02	32%	5 Apr →
ancient	11–13	0.02	15%	5 Apr →
inferno	13–8	0.05	19%	5 Apr →
overpass	12–16	-0.06	24%	25 Mar →