badass09 — CS2 Stats

GR76561199046880197[U:1:1086614469]Steam profile ↗✓ No bans

3,492Tracked matches50%Win rate2020Tracked since

5,543Hours in CS67Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

FaceitLevel 10 · 2,285 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	43.3%	52.0%
Shot accuracy	14.6%	13.7%
Kill/death ratio	0.98	1.08
Match win rate	50.3%	48.8%

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Performance scores

Aim85

Positioning56

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWWLWLLLWW

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

Player DNA

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

Aim8.5

Aggression7.2

Utility4.2

Positioning5.6

Opening Duels4.0

Clutch3.6

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 93% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

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. 553ms 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

Aim8.5

Positioning5.6

Utility4.2

Mechanics6.6

Opening Duels4.0

Win Impact5.0

Composite 6.2/10 (Solid), 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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time556ms−3ms

first ⅓ avg 558ms → last ⅓ avg 556ms

Headshot accuracy21.9%−0.8%

first ⅓ avg 22.6% → last ⅓ avg 21.9%

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

0.10Best rating — ancient 13–16

13–2Biggest win — mirage

5Longest win streak

10–14In matches decided by ≤2 rounds

18Overtime games

Map breakdown

ancientBest map · 57% over 21anubisWeakest map · 42% over 24

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	24	10–14	42%	0.02
ancient	A	21	12–9	57%	0.00
mirage	B	20	9–11	45%	-0.01
nuke	B	15	7–8	47%	0.01
cache	A	9	5–4	56%	-0.00
dust2	—	4	2–2	50%	-0.00
overpass	—	4	2–2	50%	-0.01
inferno	—	2	0–2	0%	0.04
vertigo	—	1	0–1	0%	0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

155,542Lifetime kills

0.98K/D

7,506Matches

50.3%Match win rate · Top 50% of Level 10 players

43.3%Headshot %

14.6%Shot accuracy · Top 50% of Level 10 players

25,048MVPs

3,299Hours (in match)

8,259Bombs planted

1,925Bombs defused

Most-used weapons

AK-4749,544

M4A4 / M4A1-S30,864

AWP28,092

P2000 / USP-S8,137

Desert Eagle7,751

Glock-186,831

Knife4,005

Galil AR3,317

FAMAS2,824

MAC-102,823

Lifetime map wins

11,225nuke

9,231inferno

7,341dust2

7,273vertigo

4,028train

909cbble

67office

63lake

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

Faceit stats

Combat

4,874Matches

50%Win rate

1.20Avg K/D

86.7ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

22%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	584	49%	1.14	18.0
Anubis	478	47%	1.14	18.0
Nuke	372	52%	1.21	18.5
Mirage	370	47%	1.08	17.0
Overpass	229	56%	1.31	19.8
Dust2	205	50%	1.10	16.6
Vertigo	131	56%	1.19	18.7
Inferno	123	44%	1.07	16.9

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.

20.5%Headshot accuracy

39.8%Accuracy (enemy spotted)

40.6%Spray accuracy

79.6%Counter-strafing

8.8°Preaim

553msReaction time

40.1%T opening success

52.0%CT opening success

0.39Enemies flashed / flash

7.2%Flash assists

6.16HE damage / grenade

8.54Flashes / 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 0.3941 — below the 0.5 mark we flag
Grenade Lineups →

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.

42% win rate across 24 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
anubis	11–13	0.01	26%	27 Aug →
ancient	13–7	0.02	25%	22 Aug →
cache	19–17	0.01	25%	21 Aug →
anubis	11–13	-0.01	26%	21 Aug →
ancient	16–13	0.00	21%	19 Aug →
vertigo	6–13	0.04	13%	17 Aug →
mirage	1–13	-0.09	19%	15 Aug →
anubis	10–13	0.00	31%	15 Aug →
ancient	13–9	0.01	22%	12 Aug →
nuke	13–6	0.04	14%	11 Aug →
mirage	19–17	-0.00	25%	11 Aug →
cache	6–13	-0.03	18%	10 Aug →
cache	13–9	-0.05	19%	7 Aug →
ancient	13–8	0.01	24%	6 Aug →
anubis	5–13	0.00	19%	5 Aug →
cache	13–11	0.01	32%	5 Aug →
ancient	13–10	-0.02	12%	3 Aug →
anubis	6–13	-0.05	14%	3 Aug →
dust2	13–8	-0.00	25%	1 Aug →
dust2	10–13	-0.01	25%	31 Jul →
cache	10–13	-0.00	14%	31 Jul →
anubis	9–13	0.02	17%	31 Jul →
ancient	13–10	-0.03	17%	30 Jul →
nuke	7–13	-0.04	17%	29 Jul →
mirage	16–13	-0.05	15%	28 Jul →
ancient	13–4	0.09	26%	28 Jul →
anubis	13–6	0.09	16%	27 Jul →
anubis	9–13	-0.03	14%	27 Jul →
mirage	23–25	-0.01	17%	26 Jul →
cache	8–13	-0.04	22%	25 Jul →
mirage	3–13	-0.05	26%	24 Jul →
anubis	13–8	0.05	30%	23 Jul →
mirage	13–8	0.00	57%	22 Jul →
anubis	8–13	0.01	13%	21 Jul →
mirage	14–16	0.03	30%	18 Jul →
ancient	11–13	0.01	28%	18 Jul →
ancient	13–16	0.02	18%	18 Jul →
anubis	4–13	-0.08	26%	18 Jul →
mirage	9–13	-0.02	19%	17 Jul →
inferno	14–16	0.03	25%	13 Jul →
cache	6–13	0.00	28%	13 Jul →
cache	16–14	-0.00	13%	13 Jul →
nuke	9–13	0.02	20%	12 Jul →
mirage	13–7	-0.01	16%	11 Jul →
anubis	9–13	-0.03	15%	11 Jul →
ancient	5–13	-0.04	26%	9 Jul →
anubis	13–9	0.06	31%	9 Jul →
mirage	13–2	0.02	24%	9 Jul →
nuke	9–13	-0.01	14%	6 Jul →
nuke	9–13	-0.01	11%	5 Jul →
anubis	13–10	0.03	15%	5 Jul →
mirage	10–13	0.01	22%	4 Jul →
anubis	10–13	0.03	31%	3 Jul →
ancient	7–13	-0.05	31%	3 Jul →
anubis	13–9	0.06	15%	1 Jul →
ancient	13–11	0.04	23%	30 Jun →
nuke	13–8	0.00	18%	27 Jun →
anubis	6–13	-0.05	16%	26 Jun →
nuke	11–13	-0.04	29%	25 Jun →
anubis	13–11	-0.01	23%	25 Jun →
mirage	13–11	0.03	19%	22 Jun →
anubis	13–9	0.06	15%	17 Jun →
nuke	15–15	0.00	33%	14 Jun →
nuke	13–7	-0.05	26%	13 Jun →
nuke	13–10	-0.02	22%	13 Jun →
ancient	19–15	0.00	22%	12 Jun →
overpass	16–12	-0.03	19%	10 Jun →
dust2	13–8	0.04	21%	10 Jun →
mirage	6–13	-0.05	33%	4 Jun →
overpass	14–16	-0.04	15%	3 Jun →
mirage	8–13	-0.03	31%	3 Jun →
nuke	11–13	-0.02	18%	30 May →
ancient	13–16	0.10	20%	30 May →
dust2	7–13	-0.04	6%	28 May →
mirage	13–10	0.01	10%	23 May →
overpass	5–13	-0.01	37%	20 May →
ancient	8–13	-0.09	12%	18 May →
cache	13–9	0.06	20%	13 May →
anubis	13–7	0.08	26%	13 May →
mirage	12–16	-0.01	18%	9 May →
mirage	13–11	0.05	40%	8 May →
overpass	22–20	0.03	21%	4 May →
nuke	13–9	0.09	17%	4 May →
ancient	13–6	0.07	24%	1 May →
nuke	13–4	0.10	22%	1 May →
ancient	11–13	-0.02	13%	30 Apr →
nuke	11–13	0.03	44%	28 Apr →
ancient	10–13	-0.07	11%	28 Apr →
nuke	13–11	-0.00	11%	28 Apr →
mirage	14–16	0.05	25%	27 Apr →
anubis	10–13	-0.04	24%	27 Apr →
anubis	13–7	0.07	22%	26 Apr →
mirage	11–13	0.02	22%	26 Apr →
ancient	9–13	-0.01	18%	25 Apr →
anubis	13–10	0.08	22%	17 Apr →
mirage	13–8	-0.02	20%	14 Apr →
inferno	11–13	0.05	27%	3 Apr →
ancient	13–9	-0.02	28%	31 Mar →
anubis	2–5	0.05	47%	23 Mar →
ancient	16–12	0.06	20%	22 Mar →