potrotz — CS2 Stats

76561198124768102[U:1:164502374]Steam profile ↗✓ No bans

934Tracked matches52%Win rate2020Tracked since

1,561Hours in CS11Hrs last 2 wks

CSDB Rating2.5 Learning

Premier CS Rating3,015Grey band · top ~87.2% of ranked players (population est.)

CSDB Leaderboard#47802 of 61233 tracked

FaceitLevel 3 · 880 ELOTop 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,851), 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 3 median	Level 4 median	vs Level 4
Headshot rate	35.7%	41.8%	42.7%	7.0% short
Shot accuracy	14.4%	11.9%	10.8%	above
Kill/death ratio	0.77	0.97	1.00	0.22 short
Match win rate	36.5%	43.5%	44.1%	7.5% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim13

Positioning33

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY31–65–4Last 10031%Win rateTWWWWLLWWL

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

Player DNA

Aim1.3

Aggression1.9

Utility5.1

Positioning3.3

Opening Duels0.0

Clutch0.0

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 63% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 770ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.3

Positioning3.3

Utility5.1

Mechanics3.0

Opening Duels0.0

Win Impact5.6

Composite 2.5/10 (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-0.03+0.01

first ⅓ avg -0.05 → last ⅓ avg -0.03

Reaction time776ms−18ms

first ⅓ avg 793ms → last ⅓ avg 776ms

Headshot accuracy13.6%−0.1%

first ⅓ avg 13.7% → last ⅓ avg 13.6%

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

0.08Best rating — ancient 13–6

13–2Biggest win — mirage

4Longest win streak

4–13In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 57% over 7anubisWeakest map · 0% over 6

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	22	6–16	27%	-0.05
inferno	D	21	7–14	33%	-0.04
nuke	C	19	8–11	42%	-0.05
overpass	C	10	4–6	40%	-0.07
cache	D	7	1–6	14%	-0.05
dust2	A	7	4–3	57%	-0.04
anubis	D	6	0–6	0%	-0.06
mirage	D	6	1–5	17%	-0.04
train	—	2	0–2	0%	-0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (0% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,806Lifetime kills

0.77K/D

3,206Matches

36.5%Match win rate

35.7%Headshot %

14.4%Shot accuracy · Top 50% of Level 3 players

2,882MVPs

944Hours (in match)

1,868Bombs planted

192Bombs defused

Most-used weapons

M4A4 / M4A1-S4,735

SG 5534,719

AUG3,944

AK-473,072

P2000 / USP-S2,414

XM10141,878

Glock-181,863

P901,744

Galil AR1,521

AWP1,305

Lifetime map wins

3,391inferno

2,484nuke

1,925dust2

1,751office

758assault

746vertigo

726italy

503train

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

Faceit stats

Combat

45Matches

44%Win rate

0.55Avg K/D

53.7ADR

33%Headshot %

Clutches & streaks

14%1v1 clutch win

17%1v2 clutch win

2Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	11	45%	0.49	9.3
Overpass	6	67%	0.51	8.5
Inferno	6	33%	0.52	7.8
Nuke	6	50%	0.69	10.5
Mirage	3	33%	0.65	11.0
Dust2	2	50%	0.62	11.0
Anubis	2	50%	0.66	18.0

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.

13.6%Headshot accuracy

26.1%Accuracy (enemy spotted)

25.7%Spray accuracy

63.3%Counter-strafing

11.7°Preaim

770msReaction time

17.8%T opening success

27.6%CT opening success

0.49Enemies flashed / flash

6.3%Flash assists

12.54HE damage / grenade

5.50Flashes / 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 13.6232% — 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 769.914ms — above the 700ms mark we flag
Aim Training →
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 0.4912 — 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.

0% win rate across 6 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
inferno	15–15	-0.05	20%	30 Aug →
ancient	13–4	-0.01	5%	30 Aug →
ancient	13–6	-0.04	9%	30 Aug →
nuke	13–8	-0.04	23%	28 Aug →
cache	13–9	0.02	7%	28 Aug →
cache	9–13	-0.03	14%	27 Aug →
anubis	11–13	0.02	8%	27 Aug →
ancient	13–10	0.01	21%	27 Aug →
dust2	13–8	-0.03	12%	27 Aug →
cache	11–13	-0.05	18%	26 Aug →
anubis	15–15	-0.08	10%	26 Aug →
dust2	13–9	-0.04	9%	21 Aug →
ancient	13–4	-0.02	20%	21 Aug →
mirage	9–13	-0.03	21%	20 Aug →
ancient	9–13	0.00	13%	6 Aug →
inferno	14–16	-0.04	9%	6 Aug →
nuke	11–13	-0.03	20%	18 Jul →
inferno	13–11	-0.10	3%	18 Jul →
mirage	13–2	0.02	25%	18 Jul →
inferno	13–6	-0.07	13%	9 Jul →
nuke	9–13	-0.00	19%	9 Jul →
ancient	12–16	-0.08	13%	18 Jun →
nuke	13–11	0.01	5%	18 Jun →
inferno	13–8	-0.09	4%	18 Jun →
dust2	11–13	-0.03	21%	4 Jun →
overpass	13–2	0.02	17%	4 Jun →
inferno	12–12	-0.03	19%	4 Jun →
cache	11–13	-0.13	15%	4 Jun →
anubis	5–13	-0.07	5%	2 Jun →
ancient	2–13	-0.11	11%	2 Jun →
inferno	10–13	-0.00	21%	31 May →
nuke	7–13	-0.03	9%	31 May →
ancient	13–6	-0.05	9%	31 May →
cache	11–13	-0.06	10%	28 May →
ancient	8–13	-0.05	12%	18 May →
overpass	16–14	-0.10	8%	13 May →
inferno	9–13	-0.06	6%	13 May →
dust2	13–9	0.01	13%	12 May →
cache	6–13	-0.08	22%	12 May →
cache	6–13	-0.06	13%	12 May →
dust2	11–13	-0.04	22%	10 Apr →
ancient	4–13	-0.10	4%	10 Apr →
dust2	9–13	-0.05	12%	10 Apr →
mirage	7–13	-0.10	3%	9 Apr →
nuke	7–13	-0.02	11%	9 Apr →
overpass	5–13	-0.10	17%	8 Apr →
inferno	13–11	-0.06	11%	8 Apr →
nuke	13–8	-0.01	6%	7 Apr →
inferno	2–13	-0.06	12%	7 Apr →
dust2	13–10	-0.08	24%	5 Apr →
nuke	8–13	-0.11	8%	5 Apr →
overpass	13–8	-0.05	11%	3 Apr →
ancient	10–13	-0.04	11%	3 Apr →
ancient	7–13	-0.04	8%	20 Mar →
nuke	6–13	-0.08	7%	4 Mar →
inferno	3–13	-0.05	10%	23 Feb →
mirage	3–13	-0.08	10%	23 Feb →
nuke	8–13	-0.06	11%	19 Feb →
ancient	5–13	-0.10	12%	15 Feb →
anubis	9–13	-0.10	14%	15 Feb →
anubis	2–13	-0.06	11%	28 Jan →
ancient	5–13	-0.11	4%	28 Jan →
ancient	11–13	-0.09	10%	28 Jan →
nuke	13–8	-0.06	11%	26 Jan →
anubis	11–13	-0.05	18%	26 Jan →
inferno	11–13	-0.01	9%	25 Jan →
ancient	7–13	-0.05	17%	25 Jan →
nuke	8–2	-0.02	29%	23 Jan →
mirage	11–13	-0.05	9%	23 Jan →
nuke	13–9	-0.06	20%	18 Jan →
inferno	15–15	-0.04	11%	18 Jan →
inferno	8–13	-0.03	16%	16 Jan →
inferno	11–13	0.00	15%	12 Jan →
overpass	7–13	-0.05	14%	12 Jan →
overpass	2–13	-0.09	7%	7 Jan →
nuke	13–16	-0.06	17%	6 Jan →
inferno	13–2	0.02	13%	6 Jan →
mirage	10–13	-0.04	10%	1 Jan →
inferno	3–13	-0.09	15%	1 Jan →
inferno	13–2	0.03	10%	1 Jan →
nuke	9–13	-0.06	13%	1 Jan →
ancient	6–13	-0.09	26%	1 Jan →
inferno	6–13	-0.04	24%	29 Dec →
train	2–13	-0.11	11%	29 Dec →
inferno	13–7	-0.04	15%	29 Dec →
ancient	13–6	0.08	16%	29 Dec →
inferno	8–13	-0.04	23%	29 Dec →
overpass	16–13	-0.05	7%	29 Dec →
ancient	9–13	-0.05	14%	28 Dec →
nuke	13–9	-0.06	11%	28 Dec →
overpass	2–13	-0.07	6%	27 Dec →
train	3–13	-0.06	7%	26 Dec →
overpass	5–13	-0.11	5%	26 Dec →
overpass	1–13	-0.10	26%	26 Dec →
nuke	13–9	-0.03	17%	26 Dec →
ancient	4–13	-0.04	10%	26 Dec →
ancient	8–13	-0.04	6%	23 Dec →
nuke	4–13	-0.09	8%	23 Dec →
ancient	8–13	-0.00	11%	17 Dec →
nuke	7–13	-0.08	11%	17 Dec →