1v9 suicidal potato — CS2 Stats

ZA76561198272251909[U:1:311986181]Steam profile ↗✓ No bans

2,344Tracked matches59%Win rate2021Tracked since

3,637Hours in CS33Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating24,999Top 50% of 819 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#2532 of 15531 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning53

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY63–35–2Last 10063%Win rateWLLLWLWWWW

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.

Aim9.0

Aggression7.1

Utility7.0

Positioning5.3

Opening Duels2.9

Clutch4.2

Sharp aimerExcellent counter-strafingStrong 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 Twistzz 95% playstyle similarity

Most alike: utility contribution, 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0

Positioning5.3

Utility7.0

Mechanics8.5

Opening Duels3.0

Win Impact7.9

Composite 7.3/10 (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 rating0.01−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time498ms−75ms

first ⅓ avg 574ms → last ⅓ avg 498ms

Headshot accuracy13.0%−4.4%

first ⅓ avg 17.3% → last ⅓ avg 13.0%

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

0.22Best rating — cache 13–0

13–0Biggest win — cache

4Longest win streak

8–7In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 86% over 7anubisWeakest map · 55% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	23	14–9	61%	0.02
mirage	A	22	14–8	64%	0.01
inferno	A	15	9–6	60%	-0.01
ancient	A	11	7–4	64%	0.01
anubis	A	11	6–5	55%	0.02
cache	A	11	7–4	64%	0.02
nuke	S	7	6–1	86%	0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

123,679Lifetime kills

1.58K/D · Top 10% of Pink band

4,528Matches

51.9%Match win rate · Top 25% of Pink band

51.3%Headshot % · Top 50% of Pink band

9.7%Shot accuracy

13,583MVPs

2,130Hours (in match)

4,140Bombs planted

3,231Bombs defused

Most-used weapons

AK-4755,475

M4A4 / M4A1-S18,213

AWP17,515

Desert Eagle8,143

P2000 / USP-S6,404

Glock-182,806

MP92,763

Galil AR1,885

FAMAS1,421

P2501,338

Lifetime map wins

10,258dust2

8,836inferno

2,891vertigo

2,442nuke

540train

56cbble

29lake

12ar_shoots

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

Faceit stats

Combat

40Matches

58%Win rate

0.90Avg K/D

68.0ADR

41%Headshot %

Clutches & streaks

41%1v1 clutch win

38%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	46%	0.91	12.0
Anubis	8	75%	0.88	13.5
Dust2	6	67%	1.14	13.0
Ancient	3	100%	0.91	14.3
Inferno	3	33%	0.89	13.3
Vertigo	2	50%	0.78	13.0
Nuke	1	100%	0.67	12.0

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.

12.2%Headshot accuracy

42.4%Accuracy (enemy spotted)

40.6%Spray accuracy

88.1%Counter-strafing

7.6°Preaim

499msReaction time

29.8%T opening success

53.6%CT opening success

0.60Enemies flashed / flash

8.4%Flash assists

10.88HE damage / grenade

13.49Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.1698% — below the 15% mark we flag
Aim Training →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 29.7965% — below the 40% mark we flag

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	0.01	6%	25 Aug →
ancient	11–13	0.03	7%	25 Aug →
dust2	9–13	0.05	15%	25 Aug →
ancient	7–13	-0.03	19%	25 Aug →
inferno	13–6	-0.00	12%	25 Aug →
anubis	3–13	-0.08	11%	25 Aug →
cache	13–0	0.22	19%	25 Aug →
anubis	13–4	0.08	20%	25 Aug →
mirage	13–2	0.04	9%	25 Aug →
inferno	16–12	0.01	8%	25 Aug →
mirage	15–15	0.06	8%	24 Aug →
dust2	13–7	0.01	19%	24 Aug →
ancient	13–11	-0.01	6%	24 Aug →
ancient	6–13	-0.04	11%	22 Aug →
mirage	13–5	0.00	12%	22 Aug →
mirage	13–6	0.09	19%	22 Aug →
dust2	13–11	-0.03	7%	22 Aug →
ancient	6–13	-0.05	17%	21 Aug →
anubis	13–5	0.07	12%	21 Aug →
anubis	4–13	-0.02	9%	21 Aug →
mirage	13–6	-0.03	10%	21 Aug →
cache	2–13	-0.08	13%	21 Aug →
mirage	6–13	-0.08	14%	21 Aug →
inferno	2–13	-0.08	14%	21 Aug →
nuke	13–9	-0.01	5%	21 Aug →
dust2	10–13	0.02	11%	18 Aug →
dust2	3–13	0.01	32%	17 Aug →
cache	13–8	-0.02	9%	17 Aug →
dust2	13–10	0.04	17%	17 Aug →
dust2	13–7	0.04	11%	16 Aug →
nuke	13–9	0.07	22%	16 Aug →
dust2	6–13	-0.04	6%	16 Aug →
nuke	13–11	-0.05	19%	16 Aug →
mirage	8–13	-0.02	22%	16 Aug →
cache	16–13	-0.07	3%	16 Aug →
cache	13–0	0.13	16%	16 Aug →
anubis	15–15	0.09	15%	12 Aug →
mirage	13–11	-0.04	24%	12 Aug →
ancient	13–11	-0.00	7%	11 Aug →
mirage	6–13	-0.06	18%	11 Aug →
dust2	13–4	0.02	15%	11 Aug →
anubis	13–3	0.03	9%	11 Aug →
inferno	6–13	-0.04	18%	11 Aug →
nuke	13–2	0.11	13%	11 Aug →
dust2	13–3	-0.00	17%	11 Aug →
inferno	13–10	0.04	8%	11 Aug →
dust2	16–14	-0.05	17%	7 Aug →
cache	8–13	-0.03	19%	7 Aug →
dust2	13–10	0.01	14%	7 Aug →
mirage	13–5	0.03	17%	7 Aug →
dust2	13–5	0.07	11%	7 Aug →
mirage	13–4	0.13	26%	7 Aug →
dust2	6–13	0.03	44%	3 Aug →
inferno	6–13	-0.03	11%	3 Aug →
mirage	13–9	-0.06	14%	3 Aug →
anubis	6–13	-0.08	13%	3 Aug →
inferno	16–14	0.04	14%	3 Aug →
nuke	11–13	-0.05	8%	3 Aug →
inferno	13–8	-0.01	24%	3 Aug →
inferno	13–10	-0.05	14%	31 Jul →
anubis	13–8	0.02	29%	31 Jul →
dust2	14–16	-0.06	13%	31 Jul →
nuke	13–5	0.08	6%	31 Jul →
cache	8–13	-0.07	8%	31 Jul →
inferno	11–13	0.03	16%	31 Jul →
ancient	13–8	0.01	23%	31 Jul →
mirage	2–13	-0.03	14%	31 Jul →
anubis	13–6	0.05	10%	29 Jul →
mirage	12–16	0.01	22%	29 Jul →
mirage	13–1	0.02	24%	29 Jul →
cache	13–7	0.03	12%	29 Jul →
dust2	13–3	0.08	14%	28 Jul →
inferno	10–13	-0.04	17%	28 Jul →
inferno	13–5	0.01	39%	28 Jul →
dust2	13–2	0.00	10%	27 Jul →
mirage	13–8	0.02	15%	27 Jul →
ancient	16–13	-0.03	10%	27 Jul →
mirage	11–13	-0.03	9%	26 Jul →
inferno	13–2	0.01	15%	26 Jul →
mirage	16–13	-0.00	15%	26 Jul →
mirage	13–9	0.05	29%	26 Jul →
inferno	4–13	0.02	16%	23 Jul →
anubis	13–8	0.07	14%	23 Jul →
anubis	11–13	-0.00	16%	22 Jul →
dust2	13–3	0.09	10%	22 Jul →
nuke	13–8	0.05	19%	22 Jul →
dust2	11–13	0.05	17%	22 Jul →
mirage	13–8	0.06	22%	22 Jul →
ancient	13–6	0.07	13%	22 Jul →
dust2	9–13	-0.05	23%	22 Jul →
dust2	13–5	0.08	11%	22 Jul →
cache	7–13	-0.03	13%	22 Jul →
dust2	6–13	-0.01	9%	22 Jul →
ancient	13–2	0.10	15%	22 Jul →
ancient	13–4	0.03	25%	22 Jul →
mirage	8–13	-0.02	17%	22 Jul →
mirage	13–9	0.01	18%	22 Jul →
cache	13–5	0.08	30%	20 Jul →
dust2	13–5	0.07	22%	20 Jul →
cache	13–11	0.04	21%	20 Jul →