Bonk — CS2 Stats

US76561198145737039[U:1:185471311]Steam profile ↗

655Tracked matches46%Win rate2020Tracked since

1,046Hours in CS

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating21,144Pink band · top ~7.2% of ranked players (population est.)

CSDB Leaderboard#6678 of 17858 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim77

Positioning64

Utility35

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLTLWLLWWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim7.7

Aggression8.1

Utility3.5

Positioning6.4

Opening Duels4.1

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.

Your pro match

Plays most like ropz 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 628ms 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

Aim7.7

Positioning6.4

Utility3.5

Mechanics8.0

Opening Duels4.1

Win Impact3.8

Composite 6.2/10 (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-0.00+0.00

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time629ms−22ms

first ⅓ avg 651ms → last ⅓ avg 629ms

Headshot accuracy24.6%+2.0%

first ⅓ avg 22.7% → last ⅓ avg 24.6%

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

0.16Best rating — vertigo 13–6

13–3Biggest win — mirage

5Longest win streak

10–11In matches decided by ≤2 rounds

18Overtime games

Map breakdown

mirageBest map · 58% over 26ancientWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	-0.00
cache	B	22	11–11	50%	-0.00
ancient	D	16	5–11	31%	0.00
dust2	C	14	5–9	36%	-0.03
anubis	C	10	4–6	40%	-0.01
inferno	C	8	3–5	38%	-0.02
vertigo	—	2	1–1	50%	0.10
nuke	—	1	1–0	100%	-0.05
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,028Lifetime kills

1.18K/D · Top 50% of Pink band

2,469Matches

45.4%Match win rate

40.9%Headshot %

15.1%Shot accuracy · Top 50% of Pink band

6,795MVPs

1,046Hours (in match)

1,788Bombs planted

631Bombs defused

Most-used weapons

AK-4714,506

AWP12,498

M4A4 / M4A1-S8,083

P2000 / USP-S3,177

Glock-182,238

Desert Eagle2,165

Galil AR2,038

P901,819

MP91,624

FAMAS1,558

Lifetime map wins

5,559dust2

1,113vertigo

1,044inferno

772train

595nuke

169cbble

27lake

10aztec

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

Faceit stats

Combat

124Matches

56%Win rate

1.12Avg K/D

—ADR

44%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

6Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	48%	1.08	18.5
Vertigo	15	93%	1.26	19.6
Ancient	12	50%	1.06	15.6
Anubis	12	67%	1.28	21.1
Overpass	8	25%	0.88	14.3
Inferno	2	0%	0.81	13.0
Nuke	1	0%	0.37	7.0

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.

24.8%Headshot accuracy

33.3%Accuracy (enemy spotted)

32.2%Spray accuracy

85.8%Counter-strafing

8.5°Preaim

628msReaction time

42.0%T opening success

50.5%CT opening success

0.49Enemies flashed / flash

5.8%Flash assists

6.25HE damage / grenade

2.98Flashes / 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.

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 0.4899 — below the 0.5 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	0.00	33%	7 Aug →
anubis	12–16	-0.04	21%	7 Aug →
anubis	15–15	-0.01	26%	7 Aug →
ancient	10–13	-0.00	35%	6 Aug →
vertigo	13–6	0.16	29%	2 Aug →
inferno	6–13	-0.05	24%	2 Aug →
ancient	8–13	0.02	33%	2 Aug →
nuke	13–4	-0.05	23%	2 Aug →
mirage	16–14	0.06	20%	1 Aug →
inferno	16–14	0.02	25%	1 Aug →
dust2	13–16	-0.01	11%	1 Aug →
mirage	13–3	-0.01	15%	1 Aug →
cache	7–13	0.05	26%	1 Aug →
ancient	5–13	-0.03	30%	1 Aug →
mirage	13–5	0.02	29%	31 Jul →
cache	13–7	0.05	17%	31 Jul →
dust2	16–14	-0.05	15%	31 Jul →
anubis	7–13	-0.03	26%	30 Jul →
mirage	13–7	-0.05	23%	30 Jul →
ancient	7–13	0.01	23%	30 Jul →
mirage	9–13	-0.07	37%	30 Jul →
ancient	13–3	-0.01	29%	30 Jul →
anubis	11–13	-0.01	33%	29 Jul →
cache	13–9	0.03	34%	29 Jul →
inferno	4–13	-0.06	15%	29 Jul →
mirage	9–13	0.02	23%	28 Jul →
mirage	13–5	0.01	17%	28 Jul →
anubis	14–16	-0.01	23%	28 Jul →
ancient	15–15	-0.01	25%	28 Jul →
ancient	13–16	0.01	27%	27 Jul →
dust2	5–13	-0.03	24%	27 Jul →
inferno	11–13	0.02	17%	27 Jul →
cache	6–13	-0.07	21%	27 Jul →
anubis	13–10	0.05	32%	27 Jul →
anubis	13–4	0.04	29%	27 Jul →
ancient	1–13	-0.05	18%	26 Jul →
dust2	10–13	0.02	30%	26 Jul →
mirage	14–16	0.07	44%	26 Jul →
cache	13–10	0.05	21%	26 Jul →
cache	11–13	0.06	27%	26 Jul →
mirage	13–11	-0.01	21%	26 Jul →
cache	13–9	-0.00	23%	26 Jul →
mirage	13–5	-0.01	14%	26 Jul →
mirage	0–2	-0.01	0%	20 Jul →
dust2	4–13	-0.08	36%	20 Jul →
anubis	6–13	-0.11	4%	20 Jul →
mirage	13–4	-0.00	10%	20 Jul →
dust2	13–7	0.00	34%	19 Jul →
ancient	13–9	0.07	35%	19 Jul →
cache	13–6	0.07	33%	19 Jul →
anubis	13–11	-0.03	14%	19 Jul →
ancient	9–13	0.00	20%	19 Jul →
cache	11–13	-0.03	19%	19 Jul →
mirage	7–13	-0.08	18%	19 Jul →
cache	14–16	-0.03	26%	19 Jul →
cache	13–9	-0.02	31%	18 Jul →
ancient	13–10	0.01	23%	18 Jul →
mirage	13–8	0.01	29%	18 Jul →
cache	9–13	0.06	30%	18 Jul →
mirage	5–13	-0.01	15%	18 Jul →
mirage	13–7	-0.01	19%	18 Jul →
cache	13–11	-0.07	35%	17 Jul →
mirage	10–13	-0.01	39%	17 Jul →
inferno	13–11	-0.05	22%	17 Jul →
dust2	6–13	-0.05	17%	17 Jul →
dust2	15–15	-0.02	19%	16 Jul →
cache	13–9	-0.00	23%	16 Jul →
ancient	5–13	-0.01	24%	16 Jul →
cache	13–10	-0.05	30%	15 Jul →
dust2	13–11	-0.00	15%	15 Jul →
mirage	13–7	0.03	16%	15 Jul →
cache	13–10	-0.02	39%	15 Jul →
dust2	5–13	-0.05	26%	15 Jul →
cache	5–13	0.03	25%	11 Jul →
ancient	15–15	0.06	21%	11 Jul →
mirage	2–13	-0.00	30%	11 Jul →
inferno	14–16	-0.01	15%	11 Jul →
cache	4–13	-0.07	18%	11 Jul →
ancient	13–10	0.01	16%	10 Jul →
cache	15–15	-0.02	36%	10 Jul →
dust2	13–6	-0.01	17%	10 Jul →
cache	10–13	-0.07	40%	9 Jul →
ancient	7–13	-0.08	24%	9 Jul →
mirage	4–13	-0.01	23%	9 Jul →
mirage	13–11	-0.01	17%	9 Jul →
cache	13–5	0.02	22%	9 Jul →
cache	7–13	-0.02	31%	9 Jul →
dust2	4–13	-0.07	16%	6 Jul →
mirage	16–13	0.01	18%	5 Jul →
mirage	13–3	0.05	26%	5 Jul →
dust2	13–9	0.00	21%	5 Jul →
ancient	13–7	0.05	20%	5 Jul →
anubis	13–7	0.05	12%	5 Jul →
mirage	14–16	-0.02	16%	5 Jul →
inferno	11–13	0.01	15%	5 Jul →
train	13–3	0.06	34%	5 Jul →
vertigo	12–12	0.05	27%	5 Jul →
dust2	8–13	-0.03	23%	4 Jul →
inferno	16–14	-0.04	17%	4 Jul →
mirage	10–13	-0.03	18%	4 Jul →