bon kwi kwi — CS2 Stats

76561198066068155[U:1:105802427]Steam profile ↗

252Tracked matches65%Win rate2020Tracked since

844Hours in CS

CSDB Rating7.2 StrongAggressive Rifler

WingmanMaster Guardian I

Ladder ranks via Leetify

Performance scores

Aim87

Positioning63

Utility45

0–100 skill scores via Leetify.

Recent form

STEADY56–34–10Last 10056%Win rateWLWWWLLLWW

Last 10 vs previous 10: +20pp win rate · -0.04 avg rating

Player DNA

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

Aim8.7

Aggression9.6

Utility4.5

Positioning6.3

Opening Duels4.8

Sharp aimer

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 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: higher 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

Strengths

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

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.8° off target when enemies appear — placement, not flicking, is the bigger win available.

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

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

Aim8.7

Positioning6.3

Utility4.5

Mechanics7.6

Opening Duels4.8

Win Impact10.0

Composite 7.2/10 (Strong), 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 rating0.03−0.01

first ⅓ avg 0.04 → last ⅓ avg 0.03

Reaction time611ms−61ms

first ⅓ avg 672ms → last ⅓ avg 611ms

Headshot accuracy29.0%+2.7%

first ⅓ avg 26.3% → last ⅓ avg 29.0%

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

0.38Best rating — overpass 9–1

13–0Biggest win — office

4Longest win streak

4–12In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 88% over 8ancientWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	0.01
mirage	S	19	14–5	74%	0.05
anubis	S	12	8–4	67%	-0.00
vertigo	B	10	5–5	50%	0.04
nuke	A	10	6–4	60%	0.05
inferno	S	8	7–1	88%	0.03
ancient	C	5	2–3	40%	0.03
office	—	4	1–3	25%	-0.00
overpass	—	4	2–2	50%	0.11
train	—	2	1–1	50%	0.07
cache	—	2	0–2	0%	0.07
sanctum	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

53,252Lifetime kills

1.28K/D · Top 25% of tracked players

2,273Matches

38.4%Match win rate

53.7%Headshot % · Top 25% of tracked players

19.2%Shot accuracy · Top 10% of tracked players

5,666MVPs

844Hours (in match)

1,553Bombs planted

502Bombs defused

Most-used weapons

AK-4713,841

M4A4 / M4A1-S9,240

P2000 / USP-S4,076

Desert Eagle2,743

AWP2,672

Glock-182,397

FAMAS2,004

Five-SeveN1,775

Galil AR1,708

MP71,494

Lifetime map wins

3,707dust2

1,878nuke

1,448inferno

1,091vertigo

357office

182train

138cbble

43lake

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.

29.2%Headshot accuracy

37.3%Accuracy (enemy spotted)

45.3%Spray accuracy

84.2%Counter-strafing

10.8°Preaim

598msReaction time

51.5%T opening success

46.6%CT opening success

0.49Enemies flashed / flash

3.1%Flash assists

4.82HE damage / grenade

9.69Flashes / 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 0.491 — 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.

40% win rate across 5 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	0.05	20%	25 Aug →
dust2	8–13	0.06	37%	25 Aug →
inferno	13–9	-0.06	26%	23 Aug →
dust2	13–4	0.01	21%	22 Aug →
vertigo	13–5	0.04	34%	22 Aug →
office	11–13	0.01	22%	22 Aug →
office	5–13	-0.01	28%	22 Aug →
mirage	2–13	-0.05	38%	22 Aug →
dust2	13–11	-0.00	35%	22 Aug →
office	13–0	0.03	43%	18 Aug →
inferno	12–12	0.07	15%	18 Aug →
train	9–13	0.05	15%	18 Aug →
nuke	12–12	0.02	20%	17 Aug →
train	13–1	0.10	50%	17 Aug →
mirage	13–8	0.02	27%	17 Aug →
cache	11–13	0.05	37%	16 Aug →
dust2	8–13	-0.04	27%	16 Aug →
cache	12–12	0.09	36%	11 Aug →
mirage	13–7	0.06	26%	4 Aug →
inferno	13–10	0.01	34%	4 Aug →
nuke	12–12	0.05	25%	4 Aug →
dust2	13–10	-0.02	30%	4 Aug →
ancient	13–9	0.07	32%	4 Aug →
dust2	11–13	-0.00	24%	2 Aug →
inferno	13–10	0.05	36%	2 Aug →
mirage	13–2	0.11	25%	1 Aug →
nuke	13–10	0.07	45%	1 Aug →
dust2	13–8	0.01	20%	1 Aug →
office	5–13	-0.06	25%	1 Aug →
mirage	13–5	0.07	39%	28 Jul →
anubis	13–3	0.04	33%	28 Jul →
nuke	13–9	0.08	14%	28 Jul →
mirage	13–10	0.02	20%	28 Jul →
dust2	12–12	0.07	33%	28 Jul →
dust2	11–13	0.02	20%	25 Jul →
mirage	13–1	0.03	33%	25 Jul →
nuke	13–3	0.06	21%	22 Jul →
anubis	4–13	-0.05	32%	22 Jul →
mirage	13–2	0.10	35%	18 Jul →
dust2	13–10	-0.04	22%	18 Jul →
dust2	12–12	-0.01	24%	18 Jul →
mirage	12–12	-0.05	32%	18 Jul →
anubis	13–11	-0.03	18%	8 Mar →
dust2	10–13	-0.03	16%	8 Mar →
mirage	15–15	0.05	18%	2 Mar →
sanctum	6–9	0.00	20%	2 Mar →
mirage	13–5	0.16	18%	1 Feb →
dust2	13–10	0.01	31%	20 Jul →
dust2	11–13	0.04	33%	15 Jul →
anubis	13–9	0.02	16%	13 Jul →
inferno	13–10	0.01	20%	13 Jul →
anubis	11–13	0.07	31%	4 Jul →
dust2	11–13	0.03	22%	4 Jul →
dust2	13–1	0.15	16%	29 Jun →
dust2	12–12	0.11	17%	29 Jun →
anubis	11–13	-0.06	14%	28 Jun →
nuke	4–13	0.00	11%	24 Jun →
dust2	13–4	-0.04	29%	24 Jun →
nuke	13–4	0.06	14%	22 Jun →
anubis	13–10	-0.02	28%	21 Jun →
dust2	9–13	0.04	24%	21 Jun →
anubis	13–9	0.03	18%	21 Jun →
ancient	6–13	-0.01	19%	20 Jun →
dust2	13–7	0.02	28%	20 Jun →
mirage	4–13	0.04	33%	15 Jun →
mirage	13–6	0.15	25%	15 Jun →
dust2	11–13	-0.06	17%	7 Jun →
anubis	13–7	-0.03	23%	7 Jun →
mirage	13–7	0.02	29%	7 Jun →
dust2	11–13	0.01	25%	3 Jun →
mirage	13–8	-0.04	22%	17 Jun →
vertigo	13–6	0.04	16%	17 Jun →
nuke	7–4	0.05	25%	16 Jun →
mirage	13–2	0.09	29%	14 Jun →
vertigo	11–13	0.00	32%	10 Jun →
anubis	4–13	-0.03	27%	9 Jun →
overpass	9–1	0.38	30%	9 Jun →
vertigo	5–13	-0.06	16%	3 Jun →
dust2	13–5	0.00	11%	3 Jun →
overpass	6–9	-0.03	21%	6 May →
ancient	4–13	0.05	23%	21 Mar →
ancient	5–13	-0.07	21%	27 Feb →
anubis	13–6	0.04	20%	27 Feb →
vertigo	9–6	0.18	30%	20 Feb →
anubis	13–9	-0.03	20%	18 Feb →
inferno	9–3	0.19	20%	10 Feb →
vertigo	7–9	0.18	33%	10 Feb →
inferno	9–7	0.03	30%	4 Feb →
vertigo	4–9	-0.05	35%	4 Feb →
vertigo	13–11	0.05	23%	3 Feb →
mirage	13–7	0.15	43%	3 Feb →
vertigo	9–5	0.06	37%	3 Feb →
vertigo	8–8	-0.00	24%	19 Jan →
mirage	6–13	0.02	38%	29 Nov →
overpass	13–6	0.10	32%	28 Nov →
inferno	13–8	-0.02	25%	28 Nov →
nuke	13–0	0.15	34%	27 Nov →
nuke	5–9	-0.09	23%	21 Nov →
ancient	13–4	0.10	25%	20 Nov →
overpass	4–9	-0.03	24%	19 Nov →