-beep- — CS2 Stats

76561198991695791[U:1:1031430063]Steam profile ↗✓ No bans

4,229Tracked matches50%Win rate2020Tracked since

3,787Hours in CS32Hrs last 2 wks

CSDB Rating3.7 Learning

Premier CS Rating9,220Light Blue band · top ~58.6% of ranked players (population est.)

CSDB Leaderboard#37459 of 51291 tracked

FaceitLevel 1Top 100.0% of ranked FACEIT players

WingmanSilver III

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=230), 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 1 median	Level 2 median	vs Level 2
Headshot rate	31.1%	41.1%	41.2%	10.0% short
Shot accuracy	11.1%	14.1%	12.5%	1.5% short
Kill/death ratio	0.70	0.97	0.96	0.27 short
Match win rate	46.7%	41.9%	42.8%	above

This profile matches the typical Level 2 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim35

Positioning38

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY42–55–3Last 10042%Win rateWWLWLLWTLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim3.5

Aggression4.6

Utility5.2

Positioning3.8

Opening Duels0.8

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 NiKo 75% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 707ms 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

Aim3.5

Positioning3.8

Utility5.2

Mechanics6.2

Opening Duels0.8

Win Impact5.0

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.02

first ⅓ avg -0.06 → last ⅓ avg -0.04

Reaction time702ms+14ms

first ⅓ avg 688ms → last ⅓ avg 702ms

Headshot accuracy9.1%−0.1%

first ⅓ avg 9.3% → last ⅓ avg 9.1%

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

0.07Best rating — dust2 9–13

12–1Biggest win — cache

5Longest win streak

W2Current streak

7–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

infernoBest map · 86% over 7anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	10–13	43%	-0.05
mirage	C	19	8–11	42%	-0.04
cache	B	16	8–8	50%	-0.03
ancient	C	14	5–9	36%	-0.04
nuke	D	13	3–10	23%	-0.04
inferno	S	7	6–1	86%	-0.04
anubis	D	7	1–6	14%	-0.04
train	—	1	1–0	100%	-0.13

Across the last 100 tracked matches.

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

Lifetime stats

72,081Lifetime kills

0.70K/D

6,355Matches

46.7%Match win rate · Top 25% of Level 1 players

31.1%Headshot %

11.1%Shot accuracy

7,416MVPs

2,122Hours (in match)

6,057Bombs planted

980Bombs defused

Most-used weapons

P9012,215

M4A4 / M4A1-S7,453

Galil AR6,912

Negev6,288

MP74,796

AK-474,577

PP-Bizon4,200

AWP3,537

Dual Berettas2,586

AUG2,126

Lifetime map wins

7,742dust2

6,569vertigo

5,407nuke

4,275inferno

1,374train

88lake

86office

84bank

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.

9.2%Headshot accuracy

32.5%Accuracy (enemy spotted)

44.3%Spray accuracy

77.7%Counter-strafing

13.7°Preaim

707msReaction time

32.0%T opening success

34.8%CT opening success

0.59Enemies flashed / flash

4.6%Flash assists

8.05HE damage / grenade

7.89Flashes / 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 13.6959° — above the 12° mark we flag
Aim Training →
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 9.2192% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 706.7367ms — above the 700ms mark we flag
Aim Training →

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.

14% win rate across 7 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
dust2	16–12	-0.01	9%	30 Aug →
nuke	13–9	-0.05	5%	30 Aug →
nuke	9–13	-0.04	13%	29 Aug →
ancient	13–10	-0.06	6%	29 Aug →
mirage	6–13	0.01	8%	29 Aug →
cache	6–13	-0.02	8%	27 Aug →
inferno	13–11	-0.04	11%	27 Aug →
nuke	15–15	-0.04	6%	27 Aug →
ancient	9–13	0.02	13%	27 Aug →
dust2	13–6	-0.02	10%	26 Aug →
nuke	11–13	-0.02	11%	26 Aug →
cache	13–7	-0.01	9%	25 Aug →
nuke	13–10	-0.04	8%	25 Aug →
inferno	13–5	-0.02	2%	25 Aug →
ancient	13–3	0.00	14%	25 Aug →
mirage	13–5	-0.02	7%	25 Aug →
cache	11–13	-0.04	11%	24 Aug →
dust2	13–11	-0.07	10%	24 Aug →
mirage	13–10	-0.02	4%	24 Aug →
ancient	2–13	-0.08	9%	24 Aug →
mirage	6–13	-0.08	18%	23 Aug →
anubis	4–13	-0.08	7%	23 Aug →
mirage	12–16	-0.10	6%	23 Aug →
ancient	11–13	-0.04	11%	23 Aug →
dust2	10–13	-0.09	5%	23 Aug →
mirage	13–6	-0.03	11%	23 Aug →
dust2	13–9	-0.05	17%	23 Aug →
cache	6–13	-0.06	14%	23 Aug →
nuke	15–15	0.01	6%	21 Aug →
anubis	11–13	-0.05	11%	21 Aug →
anubis	4–13	-0.04	6%	20 Aug →
ancient	7–13	-0.04	9%	20 Aug →
nuke	2–13	-0.02	5%	20 Aug →
ancient	13–7	-0.03	11%	19 Aug →
dust2	9–13	-0.03	11%	19 Aug →
ancient	16–14	-0.03	15%	18 Aug →
dust2	9–13	0.07	11%	18 Aug →
nuke	6–13	-0.04	9%	18 Aug →
nuke	13–8	-0.02	10%	18 Aug →
dust2	16–13	-0.02	13%	17 Aug →
mirage	13–6	-0.08	9%	17 Aug →
ancient	12–16	-0.03	7%	17 Aug →
cache	12–1	-0.08	11%	15 Aug →
cache	13–4	0.03	7%	15 Aug →
ancient	9–13	-0.04	9%	15 Aug →
cache	13–6	-0.03	13%	15 Aug →
mirage	8–13	-0.04	7%	14 Aug →
dust2	8–13	-0.14	4%	14 Aug →
inferno	13–10	0.01	13%	13 Aug →
mirage	9–13	-0.02	5%	13 Aug →
nuke	9–13	-0.10	2%	13 Aug →
cache	13–3	0.04	13%	13 Aug →
cache	6–13	-0.09	11%	12 Aug →
mirage	10–13	-0.02	8%	12 Aug →
dust2	13–9	0.04	8%	11 Aug →
cache	8–13	0.01	9%	11 Aug →
anubis	8–13	-0.02	4%	11 Aug →
dust2	4–13	-0.05	7%	11 Aug →
inferno	13–2	0.00	14%	11 Aug →
nuke	5–13	-0.08	9%	11 Aug →
mirage	13–2	-0.06	13%	11 Aug →
ancient	8–13	-0.05	9%	11 Aug →
anubis	13–6	-0.04	11%	11 Aug →
cache	7–13	-0.03	13%	11 Aug →
dust2	13–6	-0.05	10%	10 Aug →
mirage	13–4	-0.04	10%	10 Aug →
cache	13–8	-0.01	10%	10 Aug →
dust2	13–7	-0.08	13%	10 Aug →
mirage	10–13	-0.04	7%	10 Aug →
anubis	6–13	-0.00	7%	8 Aug →
inferno	13–5	-0.07	6%	8 Aug →
cache	6–13	-0.03	3%	8 Aug →
dust2	7–13	-0.04	7%	8 Aug →
dust2	8–13	-0.03	10%	7 Aug →
mirage	10–13	-0.03	7%	7 Aug →
ancient	11–13	-0.07	17%	7 Aug →
dust2	11–13	-0.08	7%	7 Aug →
anubis	9–13	-0.07	9%	6 Aug →
dust2	3–13	-0.09	5%	6 Aug →
ancient	8–13	-0.01	9%	6 Aug →
nuke	5–13	-0.05	5%	5 Aug →
nuke	2–13	-0.06	7%	5 Aug →
cache	3–13	-0.08	8%	5 Aug →
train	13–9	-0.13	5%	5 Aug →
mirage	13–10	-0.05	19%	5 Aug →
inferno	1–7	-0.08	33%	5 Aug →
dust2	13–11	-0.03	9%	5 Aug →
mirage	12–12	-0.01	8%	3 Aug →
cache	13–7	-0.04	6%	3 Aug →
inferno	13–11	-0.08	14%	3 Aug →
mirage	7–13	-0.10	18%	30 Jul →
mirage	4–13	-0.09	3%	30 Jul →
ancient	13–11	-0.08	11%	30 Jul →
dust2	6–13	-0.04	9%	30 Jul →
dust2	13–11	-0.06	5%	27 Jul →
cache	13–4	-0.05	10%	27 Jul →
dust2	7–13	-0.06	11%	27 Jul →
dust2	8–13	-0.10	5%	27 Jul →
mirage	13–5	-0.02	7%	27 Jul →
dust2	10–13	-0.05	7%	27 Jul →