Bonk — CS2 Stats

US76561198066530164[U:1:106264436]Steam profile ↗✓ No bans

1,209Tracked matches73%Win rate2023Tracked since

657Hours in CS

CSDB Rating5.1 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim53

Positioning49

Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–40–8Last 10052%Win rateLWWLWLWWTW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

Aim5.3

Aggression6.0

Utility3.7

Positioning4.9

Opening Duels1.6

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 b1t 83% playstyle similarity

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

Where you differ: lower utility contribution; 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. 640ms 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

Aim5.3

Positioning4.9

Utility3.7

Mechanics5.7

Opening Duels1.6

Win Impact10.0

Composite 5.1/10 (Developing), 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 rating0.00+0.04

first ⅓ avg -0.03 → last ⅓ avg 0.00

Reaction time653ms+46ms

first ⅓ avg 607ms → last ⅓ avg 653ms

Headshot accuracy17.1%+3.4%

first ⅓ avg 13.7% → last ⅓ avg 17.1%

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 — inferno 13–4

13–0Biggest win — nuke

7Longest win streak

14–7In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 67% over 21ancientWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	22	12–10	55%	-0.03
nuke	S	21	14–7	67%	0.00
inferno	A	13	8–5	62%	-0.01
office	B	11	5–6	45%	-0.01
mirage	A	9	5–4	56%	-0.02
cache	C	7	3–4	43%	-0.02
ancient	D	7	1–6	14%	-0.01
anubis	D	6	2–4	33%	-0.01
vertigo	—	2	2–0	100%	0.03
overpass	—	2	0–2	0%	-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,023Lifetime kills

0.90K/D

2,002Matches

40.4%Match win rate

40.3%Headshot %

2.9%Shot accuracy

3,176MVPs

657Hours (in match)

1,687Bombs planted

327Bombs defused

Most-used weapons

M4A4 / M4A1-S7,188

AK-475,371

AWP3,228

P2000 / USP-S1,269

XM1014989

Glock-18971

MP9896

SSG 08886

MAC-10835

Galil AR772

Lifetime map wins

3,674dust2

2,649nuke

2,069inferno

1,139office

637train

433vertigo

57italy

14cbble

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.1%Headshot accuracy

34.0%Accuracy (enemy spotted)

37.8%Spray accuracy

75.8%Counter-strafing

12.1°Preaim

640msReaction time

31.6%T opening success

41.1%CT opening success

0.53Enemies flashed / flash

8.7%Flash assists

6.06HE damage / grenade

2.59Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0613° — above the 12° mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.5913 — below the 4 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.

14% win rate across 7 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
dust2	10–13	0.01	20%	31 Aug →
inferno	13–4	0.26	16%	29 Aug →
nuke	13–10	0.01	10%	28 Aug →
dust2	5–13	0.01	24%	26 Aug →
nuke	13–5	0.05	19%	26 Aug →
mirage	10–13	0.01	13%	26 Aug →
dust2	13–8	0.01	20%	26 Aug →
office	13–10	-0.03	17%	26 Aug →
office	12–12	-0.01	20%	26 Aug →
cache	13–5	-0.06	14%	26 Aug →
anubis	9–13	0.08	16%	25 Aug →
dust2	12–12	-0.01	13%	25 Aug →
office	13–6	-0.04	18%	25 Aug →
office	13–11	-0.03	18%	22 Aug →
office	12–12	-0.03	28%	22 Aug →
office	12–12	0.05	20%	21 Aug →
office	6–13	-0.07	21%	21 Aug →
dust2	13–6	-0.07	13%	20 Aug →
nuke	13–11	0.05	26%	19 Aug →
nuke	13–5	0.05	13%	19 Aug →
ancient	6–13	0.04	12%	19 Aug →
mirage	13–11	-0.08	17%	19 Aug →
dust2	9–13	-0.02	10%	19 Aug →
nuke	13–4	-0.01	10%	19 Aug →
nuke	13–11	-0.04	13%	18 Aug →
nuke	13–4	0.03	21%	18 Aug →
nuke	13–10	-0.03	13%	18 Aug →
dust2	13–11	0.06	17%	16 Aug →
nuke	13–0	0.11	21%	16 Aug →
dust2	13–4	-0.06	22%	15 Aug →
dust2	12–12	-0.08	28%	13 Aug →
dust2	13–5	-0.03	11%	13 Aug →
office	13–9	-0.02	10%	11 Aug →
office	13–7	0.09	8%	11 Aug →
nuke	13–11	-0.04	7%	11 Aug →
nuke	8–13	-0.05	20%	10 Aug →
inferno	13–4	0.03	18%	10 Aug →
office	9–13	0.00	17%	10 Aug →
office	12–12	-0.03	19%	8 Aug →
ancient	3–13	-0.02	21%	6 Aug →
ancient	10–13	0.00	19%	5 Aug →
nuke	13–11	0.06	12%	4 Aug →
cache	6–13	-0.02	21%	4 Aug →
inferno	1–13	-0.02	9%	4 Aug →
ancient	10–13	0.01	6%	4 Aug →
nuke	13–10	0.07	14%	4 Aug →
cache	13–11	-0.01	14%	4 Aug →
mirage	13–7	0.04	18%	4 Aug →
nuke	7–9	-0.09	5%	2 Aug →
mirage	12–12	0.05	16%	31 Jul →
dust2	13–11	-0.03	11%	28 Jul →
anubis	3–13	-0.07	9%	28 Jul →
cache	3–13	-0.01	14%	28 Jul →
nuke	13–6	0.02	13%	28 Jul →
mirage	5–13	-0.09	29%	28 Jul →
dust2	11–13	-0.04	20%	27 Jul →
cache	9–13	-0.01	17%	27 Jul →
nuke	12–12	0.01	11%	26 Jul →
ancient	13–5	0.01	23%	25 Jul →
inferno	13–5	0.06	21%	23 Jul →
mirage	13–6	-0.04	15%	22 Jul →
inferno	4–9	0.02	29%	20 Jul →
dust2	13–11	-0.07	17%	20 Jul →
ancient	3–13	-0.11	8%	13 Jul →
inferno	9–7	-0.06	3%	13 Jul →
anubis	11–13	-0.09	15%	11 Jul →
dust2	13–3	0.03	22%	11 Jul →
anubis	13–9	-0.03	15%	8 Jul →
mirage	13–1	-0.07	13%	8 Jul →
inferno	7–13	-0.07	24%	8 Jul →
nuke	11–13	-0.08	21%	7 Jul →
mirage	13–10	-0.03	24%	6 Jul →
dust2	8–2	-0.08	17%	6 Jul →
dust2	9–3	-0.01	19%	6 Jul →
dust2	13–4	0.01	15%	6 Jul →
dust2	13–11	-0.04	13%	5 Jul →
nuke	13–2	0.01	16%	5 Jul →
anubis	3–13	-0.08	6%	2 Jul →
vertigo	9–1	0.01	17%	1 Jul →
cache	13–6	-0.04	10%	1 Jul →
dust2	13–16	-0.04	17%	30 Jun →
overpass	14–16	0.00	15%	29 Jun →
mirage	9–13	0.02	13%	29 Jun →
inferno	9–6	0.00	18%	26 Jun →
inferno	9–7	-0.14	9%	26 Jun →
nuke	11–13	-0.02	8%	24 Jun →
dust2	8–13	-0.08	16%	24 Jun →
inferno	6–13	-0.10	11%	24 Jun →
inferno	16–14	-0.02	6%	24 Jun →
dust2	14–16	-0.04	11%	24 Jun →
anubis	13–5	0.12	12%	24 Jun →
inferno	13–8	-0.03	6%	24 Jun →
ancient	9–13	0.03	6%	23 Jun →
vertigo	13–5	0.04	7%	23 Jun →
inferno	1–9	-0.10	8%	23 Jun →
cache	2–13	0.01	11%	23 Jun →
overpass	5–9	-0.16	10%	23 Jun →
dust2	3–13	-0.03	21%	22 Jun →
nuke	8–13	-0.03	18%	22 Jun →
nuke	4–13	-0.05	22%	20 Jun →