SEP. 11 — CS2 Stats

US76561198001286406[U:1:41020678]Steam profile ↗✓ No bans

1,432Tracked matches26%Win rate2020Tracked since

2,866Hours in CS48Hrs last 2 wks

CSDB Rating2.8 Learning

Premier CS Rating11,683Blue band · top ~46% of ranked players (population est.)

CSDB Leaderboard#12949 of 18144 tracked

WingmanSilver Elite Master

Ladder ranks via Leetify

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Performance scores

Aim36

Positioning33

Utility46

0–100 skill scores via Leetify.

Recent form

COLD39–56–5Last 10039%Win rateLLWLWLWTTL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.6

Aggression1.5

Utility4.6

Positioning3.3

Opening Duels0.0

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 69% 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. 578ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.6

Positioning3.3

Utility4.6

Mechanics3.6

Opening Duels0.2

Win Impact0.0

Composite 2.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time583ms−54ms

first ⅓ avg 637ms → last ⅓ avg 583ms

Headshot accuracy15.7%+3.6%

first ⅓ avg 12.1% → last ⅓ avg 15.7%

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 — mirage 13–2

13–1Biggest win — cache

3Longest win streak

L2Current streak

10–12In matches decided by ≤2 rounds

15Overtime games

Map breakdown

dust2Best map · 43% over 21infernoWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	21	9–12	43%	-0.03
cache	C	17	6–11	35%	-0.02
mirage	C	17	7–10	41%	-0.03
ancient	C	12	5–7	42%	-0.02
nuke	C	12	5–7	42%	-0.01
inferno	D	9	2–7	22%	-0.03
anubis	C	7	3–4	43%	-0.03
office	—	2	1–1	50%	-0.03
train	—	2	1–1	50%	-0.03
fachwerk	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,336Lifetime kills

0.68K/D

3,859Matches

36.0%Match win rate

39.8%Headshot %

8.2%Shot accuracy

3,693MVPs

1,258Hours (in match)

3,668Bombs planted

517Bombs defused

Most-used weapons

AK-4712,588

M4A4 / M4A1-S10,960

P902,285

AWP2,006

P2000 / USP-S1,870

Glock-181,628

MP91,510

P2501,274

AUG1,264

MAC-101,125

Lifetime map wins

4,045dust2

3,601inferno

2,442nuke

1,537train

1,239vertigo

1,003cbble

749office

340lake

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.

15.2%Headshot accuracy

30.4%Accuracy (enemy spotted)

34.7%Spray accuracy

66.3%Counter-strafing

13.5°Preaim

578msReaction time

21.1%T opening success

31.2%CT opening success

0.47Enemies flashed / flash

4.3%Flash assists

9.13HE damage / grenade

10.48Flashes / 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 13.4861° — above the 12° 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 0.4661 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	2–13	-0.10	7%	28 Aug →
dust2	11–13	0.05	12%	27 Aug →
ancient	16–13	0.03	15%	27 Aug →
cache	6–13	-0.01	8%	26 Aug →
mirage	13–11	0.01	18%	25 Aug →
inferno	6–13	-0.02	12%	25 Aug →
cache	13–1	0.07	44%	25 Aug →
office	12–12	-0.05	7%	25 Aug →
cache	12–12	-0.02	20%	25 Aug →
inferno	4–13	-0.07	20%	25 Aug →
ancient	7–13	0.00	21%	25 Aug →
mirage	11–13	-0.03	16%	24 Aug →
cache	6–13	-0.03	12%	24 Aug →
cache	6–13	-0.02	20%	23 Aug →
dust2	10–13	-0.05	15%	23 Aug →
mirage	5–13	0.00	18%	23 Aug →
mirage	16–12	-0.05	6%	23 Aug →
anubis	8–13	-0.04	14%	23 Aug →
inferno	13–2	-0.02	17%	23 Aug →
dust2	13–10	0.02	15%	22 Aug →
dust2	13–11	-0.02	19%	22 Aug →
nuke	11–13	-0.06	13%	22 Aug →
fachwerk	10–13	-0.07	11%	22 Aug →
dust2	5–13	-0.06	13%	22 Aug →
inferno	15–15	-0.02	17%	21 Aug →
mirage	6–13	-0.06	17%	21 Aug →
nuke	6–13	-0.05	7%	21 Aug →
inferno	6–13	-0.00	26%	20 Aug →
nuke	8–13	0.02	19%	20 Aug →
cache	4–13	-0.02	9%	20 Aug →
train	9–13	-0.02	16%	18 Aug →
cache	9–13	-0.02	18%	18 Aug →
ancient	13–4	0.01	19%	17 Aug →
mirage	13–8	-0.05	19%	17 Aug →
inferno	8–13	-0.05	9%	17 Aug →
mirage	5–13	-0.02	7%	17 Aug →
cache	13–16	-0.08	4%	16 Aug →
ancient	13–11	-0.04	4%	16 Aug →
inferno	9–13	-0.05	13%	16 Aug →
mirage	3–13	-0.06	8%	16 Aug →
nuke	7–13	-0.01	6%	16 Aug →
dust2	13–6	0.01	16%	16 Aug →
dust2	13–11	-0.05	11%	16 Aug →
anubis	16–12	-0.00	6%	16 Aug →
cache	11–13	-0.07	14%	15 Aug →
dust2	10–13	-0.04	14%	15 Aug →
cache	13–8	0.05	17%	15 Aug →
anubis	6–13	-0.06	12%	14 Aug →
nuke	13–10	-0.04	24%	14 Aug →
office	13–4	-0.01	8%	14 Aug →
cache	3–7	-0.05	29%	14 Aug →
inferno	13–11	0.02	14%	14 Aug →
mirage	13–5	-0.07	6%	14 Aug →
ancient	0–13	-0.08	19%	14 Aug →
dust2	13–4	0.07	16%	14 Aug →
train	13–6	-0.05	12%	14 Aug →
mirage	16–13	-0.02	8%	14 Aug →
ancient	7–13	-0.02	29%	13 Aug →
nuke	11–13	0.01	14%	12 Aug →
mirage	5–13	-0.06	17%	12 Aug →
ancient	8–13	-0.02	17%	12 Aug →
cache	1–13	-0.12	10%	12 Aug →
anubis	13–7	0.00	18%	12 Aug →
cache	13–11	0.05	17%	11 Aug →
mirage	9–13	-0.01	14%	11 Aug →
dust2	13–6	-0.03	11%	11 Aug →
nuke	4–13	-0.06	8%	10 Aug →
inferno	14–16	-0.03	19%	9 Aug →
mirage	13–11	0.02	17%	9 Aug →
nuke	13–6	-0.00	16%	9 Aug →
anubis	5–13	-0.05	7%	9 Aug →
dust2	14–16	-0.01	15%	9 Aug →
cache	8–8	-0.09	11%	9 Aug →
mirage	13–2	0.10	18%	9 Aug →
nuke	13–8	0.04	16%	9 Aug →
mirage	8–13	-0.06	15%	8 Aug →
cache	13–4	-0.02	9%	8 Aug →
dust2	11–13	-0.07	15%	8 Aug →
ancient	7–13	0.01	11%	8 Aug →
ancient	13–11	-0.10	11%	8 Aug →
dust2	16–13	-0.09	10%	8 Aug →
mirage	14–16	-0.03	8%	8 Aug →
dust2	13–8	0.01	6%	8 Aug →
ancient	11–13	-0.01	18%	8 Aug →
dust2	14–16	-0.02	19%	8 Aug →
cache	13–3	0.06	6%	8 Aug →
nuke	13–9	0.01	17%	8 Aug →
ancient	13–5	0.04	10%	7 Aug →
anubis	11–13	-0.02	10%	7 Aug →
mirage	9–13	-0.03	11%	7 Aug →
dust2	7–13	-0.10	11%	6 Aug →
nuke	13–4	-0.00	8%	5 Aug →
dust2	13–16	-0.02	12%	5 Aug →
dust2	4–13	-0.01	14%	4 Aug →
dust2	15–15	-0.03	17%	3 Aug →
nuke	15–15	0.02	9%	2 Aug →
anubis	13–9	-0.04	17%	2 Aug →
cache	5–13	-0.06	9%	2 Aug →
ancient	4–13	-0.09	4%	2 Aug →
dust2	16–14	-0.07	5%	2 Aug →