bonkerz — CS2 Stats

76561198070466608[U:1:110200880]Steam profile ↗

2,985Tracked matches60%Win rate2020Tracked since

6,510Hours in CS6Hrs last 2 wks

CSDB Rating7.5 StrongAggressive Rifler

Premier CS Rating24,491Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.6% of ranked players (population est.)

CSDB Leaderboard#3900 of 22501 tracked

FaceitLevel 10 · 2,566 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	43.5%	52.0%
Shot accuracy	12.1%	13.7%
Kill/death ratio	1.27	1.08
Match win rate	48.0%	48.8%

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Performance scores

Aim87

Positioning73

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY54–39–7Last 10054%Win rateLWLWLLWLWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

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

Aim8.7

Aggression10.0

Utility5.8

Positioning7.3

Opening Duels5.8

Clutch3.2

Sharp aimerStrong CT-side opener

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 donk 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 572ms 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

Aim8.7

Positioning7.3

Utility5.8

Mechanics6.7

Opening Duels5.8

Win Impact8.3

Composite 7.5/10 (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 rating0.04−0.01

first ⅓ avg 0.05 → last ⅓ avg 0.04

Reaction time575ms+4ms

first ⅓ avg 570ms → last ⅓ avg 575ms

Headshot accuracy22.9%−2.9%

first ⅓ avg 25.8% → last ⅓ avg 22.9%

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

0.26Best rating — vertigo 13–10

13–1Biggest win — mirage

5Longest win streak

3–3In matches decided by ≤2 rounds

3Overtime games

Map breakdown

vertigoBest map · 70% over 10anubisWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	21	14–7	67%	0.06
mirage	B	21	11–10	52%	0.05
inferno	B	12	6–6	50%	0.04
vertigo	S	10	7–3	70%	0.03
anubis	C	10	4–6	40%	0.05
cache	A	9	5–4	56%	0.06
ancient	B	8	4–4	50%	0.04
nuke	C	5	2–3	40%	0.05
train	—	2	1–1	50%	0.10
shelter	—	1	0–1	0%	0.06
overpass	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

172,674Lifetime kills

1.27K/D · Top 25% of Level 10 players

7,971Matches

48.0%Match win rate

43.5%Headshot %

12.1%Shot accuracy

26,609MVPs

3,050Hours (in match)

6,832Bombs planted

2,606Bombs defused

Most-used weapons

AK-4754,082

AWP30,779

M4A4 / M4A1-S25,037

Desert Eagle11,812

P2000 / USP-S10,494

Glock-186,227

P2503,656

SSG 083,492

Tec-93,462

MP92,672

Lifetime map wins

20,625dust2

10,616inferno

4,628vertigo

3,279nuke

2,051train

864cbble

305bank

252lake

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

Faceit stats

Combat

588Matches

54%Win rate

1.31Avg K/D

88.5ADR

47%Headshot %

Clutches & streaks

36%1v1 clutch win

26%1v2 clutch win

8Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	114	61%	1.24	17.9
Dust2	69	58%	1.42	18.1
Inferno	46	57%	1.31	17.4
Overpass	20	45%	1.01	16.8
Anubis	14	57%	1.43	20.6
Ancient	12	75%	1.61	20.2
Vertigo	9	56%	1.25	18.3
Nuke	7	43%	1.06	20.3

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.

22.8%Headshot accuracy

39.6%Accuracy (enemy spotted)

42.5%Spray accuracy

80.3%Counter-strafing

8.5°Preaim

572msReaction time

44.6%T opening success

61.5%CT opening success

0.54Enemies flashed / flash

7.9%Flash assists

11.56HE damage / grenade

10.77Flashes / match

Recommended for you

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	0–13	-0.07	50%	22 Aug →
inferno	13–6	0.07	15%	22 Aug →
cache	10–13	0.09	25%	22 Aug →
vertigo	13–11	-0.03	22%	22 Aug →
dust2	5–13	-0.06	31%	17 Aug →
mirage	10–13	-0.03	17%	16 Aug →
ancient	13–8	0.01	34%	1 Aug →
mirage	7–13	0.00	27%	1 Aug →
dust2	13–9	0.01	17%	1 Aug →
dust2	13–8	0.06	19%	28 Jul →
ancient	13–8	0.13	23%	27 Jul →
mirage	13–1	0.04	50%	26 Jul →
mirage	13–4	0.09	30%	26 Jul →
inferno	4–9	-0.09	12%	26 Jul →
inferno	9–5	0.15	15%	26 Jul →
vertigo	5–13	-0.08	10%	26 Jul →
anubis	10–13	-0.02	28%	25 Jul →
dust2	9–13	0.03	14%	25 Jul →
nuke	13–10	0.10	28%	24 Jul →
ancient	11–13	0.06	21%	24 Jul →
inferno	13–6	0.02	14%	24 Jul →
vertigo	13–8	0.03	20%	24 Jul →
anubis	13–8	0.11	23%	24 Jul →
mirage	13–6	0.09	23%	24 Jul →
dust2	13–7	0.19	23%	24 Jul →
anubis	10–13	0.03	23%	22 Jul →
mirage	6–13	-0.04	10%	22 Jul →
mirage	13–7	0.13	22%	22 Jul →
vertigo	13–6	0.03	25%	22 Jul →
anubis	13–4	0.03	12%	22 Jul →
nuke	8–13	0.03	30%	22 Jul →
ancient	13–9	0.04	15%	22 Jul →
vertigo	13–8	0.06	27%	22 Jul →
mirage	3–13	-0.06	18%	21 Jul →
dust2	13–9	0.05	20%	21 Jul →
dust2	13–3	0.19	18%	21 Jul →
mirage	13–7	0.17	18%	21 Jul →
mirage	13–4	0.20	19%	21 Jul →
anubis	3–13	0.08	31%	21 Jul →
train	8–13	0.13	36%	21 Jul →
dust2	13–8	0.03	26%	20 Jul →
ancient	6–13	-0.01	20%	20 Jul →
cache	13–3	0.12	13%	20 Jul →
dust2	13–7	0.11	23%	20 Jul →
dust2	10–13	-0.05	16%	20 Jul →
mirage	13–6	0.03	11%	20 Jul →
dust2	13–5	0.12	25%	20 Jul →
dust2	13–11	0.11	25%	19 Jul →
shelter	4–13	0.06	42%	19 Jul →
ancient	6–13	-0.05	18%	18 Jul →
nuke	8–13	0.08	10%	18 Jul →
inferno	9–13	-0.03	26%	15 Jul →
mirage	13–8	0.12	20%	15 Jul →
mirage	8–13	0.01	19%	13 Jul →
vertigo	6–13	-0.01	31%	13 Jul →
inferno	16–13	0.04	23%	13 Jul →
anubis	13–9	0.08	26%	13 Jul →
cache	4–13	-0.02	23%	13 Jul →
dust2	12–12	-0.01	15%	10 Jul →
cache	10–13	-0.06	17%	9 Jul →
cache	16–12	0.06	26%	9 Jul →
cache	13–7	0.09	28%	9 Jul →
dust2	13–4	0.14	21%	9 Jul →
inferno	14–16	0.11	18%	9 Jul →
mirage	7–13	-0.01	42%	9 Jul →
anubis	13–7	0.06	26%	7 Jul →
mirage	12–12	0.02	27%	7 Jul →
cache	13–6	0.08	31%	7 Jul →
dust2	13–9	0.12	33%	7 Jul →
vertigo	12–12	0.02	30%	1 Jul →
cache	12–12	0.04	37%	1 Jul →
mirage	13–2	0.02	20%	1 Jul →
vertigo	13–10	-0.04	26%	30 Jun →
dust2	13–5	0.09	50%	30 Jun →
anubis	10–13	0.02	29%	30 Jun →
vertigo	13–7	0.03	36%	30 Jun →
inferno	13–8	0.08	20%	30 Jun →
dust2	5–13	-0.05	13%	30 Jun →
inferno	9–13	0.02	24%	29 Jun →
mirage	9–13	0.02	22%	29 Jun →
mirage	12–12	0.07	18%	29 Jun →
anubis	12–12	0.07	19%	29 Jun →
ancient	12–12	0.09	28%	29 Jun →
dust2	13–7	0.04	23%	28 Jun →
inferno	3–13	-0.00	30%	27 Jun →
vertigo	13–10	0.26	33%	27 Jun →
anubis	4–13	0.07	18%	27 Jun →
train	13–11	0.07	24%	27 Jun →
mirage	13–6	0.09	28%	27 Jun →
overpass	11–13	0.02	38%	27 Jun →
cache	13–1	0.12	23%	27 Jun →
dust2	8–13	0.05	29%	27 Jun →
mirage	7–13	0.06	31%	26 Jun →
nuke	13–8	0.01	34%	26 Jun →
mirage	13–10	0.03	19%	26 Jun →
dust2	13–8	0.06	19%	26 Jun →
inferno	13–4	0.02	8%	26 Jun →
ancient	13–5	0.04	13%	25 Jun →
nuke	7–13	0.04	22%	25 Jun →
inferno	5–13	0.03	22%	25 Jun →