Anwend — CS2 Stats

76561198124412622[U:1:164146894]

2,585Tracked matches34%Win rate2020Tracked since

3,961Hours in CS42Hrs last 2 wks

CSDB Rating4.2 Developing

Premier CS Rating14,028Blue band · top ~33.5% of ranked players (population est.)

CSDB Leaderboard#30394 of 47735 tracked

FaceitLevel 4 · 1,017 ELOTop 81.0% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 4 median	Level 5 median	vs Level 5
Headshot rate	41.9%	42.7%	44.0%	2.1% short
Shot accuracy	6.5%	10.8%	11.6%	5.2% short
Kill/death ratio	1.00	1.00	1.03	0.02 short
Match win rate	31.8%	44.1%	45.1%	13.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim50

Positioning43

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateWLLLLWLWWL

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

Player DNA

Aim5.0

Aggression4.6

Utility6.5

Positioning4.3

Opening Duels0.9

Clutch2.2

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 82% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 634ms 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

Aim5.0

Positioning4.3

Utility6.5

Mechanics6.5

Opening Duels1.0

Win Impact0.0

Composite 4.2/10 (Developing), 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-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time639ms−55ms

first ⅓ avg 694ms → last ⅓ avg 639ms

Headshot accuracy21.3%+0.9%

first ⅓ avg 20.4% → last ⅓ avg 21.3%

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

0.13Best rating — office 13–5

13–0Biggest win — dust2

6Longest win streak

6–11In matches decided by ≤2 rounds

6Overtime games

Map breakdown

nukeBest map · 60% over 15trainWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	20	8–12	40%	-0.01
nuke	A	15	9–6	60%	0.00
inferno	B	13	6–7	46%	-0.02
anubis	A	10	6–4	60%	0.00
cache	B	10	5–5	50%	-0.01
office	C	9	4–5	44%	-0.00
mirage	B	8	4–4	50%	-0.00
ancient	B	6	3–3	50%	-0.04
train	D	6	1–5	17%	-0.03
vertigo	—	3	1–2	33%	-0.03

Across the last 100 tracked matches.

Lifetime stats

142,272Lifetime kills

1.00K/D · Top 50% of Level 4 players

9,065Matches

31.8%Match win rate

41.9%Headshot %

6.5%Shot accuracy

9,729MVPs

2,159Hours (in match)

3,811Bombs planted

1,134Bombs defused

Most-used weapons

AK-4730,380

M4A4 / M4A1-S22,695

AWP9,360

P2000 / USP-S5,689

MAC-105,070

Desert Eagle4,654

Galil AR4,486

Glock-184,320

MP93,979

MP73,915

Lifetime map wins

6,794inferno

5,668nuke

5,003dust2

3,343vertigo

2,318office

1,685train

1,191italy

293ar_shoots

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

Faceit stats

Combat

54Matches

52%Win rate

0.92Avg K/D

80.3ADR

49%Headshot %

Clutches & streaks

31%1v1 clutch win

28%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	13	62%	0.97	14.9
Inferno	10	50%	0.69	10.7
Dust2	7	43%	1.03	15.6
Vertigo	6	50%	0.65	10.2
Ancient	6	33%	1.12	18.7
Nuke	5	80%	1.31	16.4
Anubis	4	25%	0.93	17.3
Overpass	1	100%	0.75	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.

21.1%Headshot accuracy

29.0%Accuracy (enemy spotted)

29.7%Spray accuracy

79.2%Counter-strafing

11.4°Preaim

634msReaction time

29.2%T opening success

37.7%CT opening success

0.65Enemies flashed / flash

4.9%Flash assists

6.62HE damage / grenade

15.54Flashes / 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.

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 29.1591% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–9	-0.01	18%	29 Aug →
dust2	6–13	0.03	25%	29 Aug →
anubis	2–6	-0.08	15%	29 Aug →
inferno	9–13	-0.06	26%	29 Aug →
cache	1–13	0.00	42%	29 Aug →
inferno	13–4	0.05	21%	29 Aug →
inferno	2–13	-0.06	20%	28 Aug →
nuke	13–10	0.09	19%	28 Aug →
nuke	13–8	0.10	28%	28 Aug →
anubis	8–13	-0.06	29%	28 Aug →
mirage	7–13	-0.03	14%	28 Aug →
ancient	11–13	-0.04	8%	27 Aug →
dust2	7–13	-0.00	12%	27 Aug →
cache	13–6	-0.01	26%	27 Aug →
ancient	6–13	-0.06	16%	26 Aug →
cache	7–13	-0.01	16%	26 Aug →
inferno	12–12	0.06	18%	25 Aug →
vertigo	13–11	-0.03	25%	25 Aug →
nuke	13–7	-0.04	18%	24 Aug →
mirage	9–13	-0.05	16%	24 Aug →
nuke	10–13	-0.01	38%	24 Aug →
office	6–13	-0.08	21%	24 Aug →
mirage	13–3	0.03	19%	24 Aug →
dust2	6–13	-0.04	15%	24 Aug →
nuke	11–13	-0.00	26%	24 Aug →
ancient	7–13	-0.04	21%	24 Aug →
inferno	10–13	-0.04	14%	23 Aug →
cache	13–8	0.08	16%	23 Aug →
office	13–4	0.04	17%	23 Aug →
vertigo	2–13	0.00	42%	23 Aug →
inferno	5–13	-0.00	11%	23 Aug →
nuke	12–12	0.04	23%	22 Aug →
office	9–13	-0.08	31%	22 Aug →
inferno	5–5	-0.10	8%	22 Aug →
anubis	8–13	-0.04	10%	22 Aug →
cache	11–13	-0.02	18%	18 Aug →
nuke	10–1	0.01	33%	18 Aug →
dust2	16–13	-0.05	24%	18 Aug →
dust2	7–13	-0.02	12%	18 Aug →
inferno	13–5	-0.02	19%	18 Aug →
office	12–12	-0.02	18%	17 Aug →
anubis	13–4	0.11	11%	17 Aug →
mirage	11–13	-0.03	18%	17 Aug →
dust2	16–12	-0.03	18%	17 Aug →
dust2	13–1	0.11	20%	17 Aug →
inferno	13–5	0.01	13%	17 Aug →
inferno	13–10	-0.01	22%	16 Aug →
office	13–6	-0.04	30%	16 Aug →
office	13–3	-0.01	12%	16 Aug →
train	9–13	-0.02	32%	16 Aug →
dust2	13–10	0.04	17%	16 Aug →
anubis	13–3	0.02	17%	16 Aug →
nuke	11–13	0.01	17%	16 Aug →
ancient	7–2	-0.07	8%	16 Aug →
inferno	13–7	-0.01	8%	16 Aug →
dust2	16–12	0.01	14%	15 Aug →
train	13–11	-0.01	22%	15 Aug →
nuke	12–12	-0.03	29%	15 Aug →
train	11–13	-0.05	20%	15 Aug →
anubis	16–14	-0.02	20%	14 Aug →
dust2	13–7	0.06	23%	14 Aug →
nuke	13–11	0.00	15%	14 Aug →
dust2	11–13	-0.05	15%	14 Aug →
dust2	11–13	-0.04	17%	14 Aug →
office	9–13	-0.02	29%	14 Aug →
train	12–12	-0.03	11%	13 Aug →
anubis	13–11	-0.00	21%	13 Aug →
train	8–13	-0.08	14%	13 Aug →
anubis	15–15	-0.03	9%	12 Aug →
cache	13–6	-0.03	20%	12 Aug →
inferno	11–13	-0.00	15%	12 Aug →
mirage	4–13	-0.01	27%	12 Aug →
dust2	13–9	-0.05	16%	12 Aug →
nuke	3–13	-0.04	3%	11 Aug →
dust2	9–13	-0.09	26%	11 Aug →
anubis	13–7	0.08	26%	10 Aug →
dust2	10–13	-0.00	18%	10 Aug →
dust2	15–15	-0.02	11%	9 Aug →
dust2	7–13	0.01	29%	9 Aug →
mirage	13–10	-0.00	10%	9 Aug →
dust2	13–0	0.04	29%	9 Aug →
nuke	13–6	0.00	16%	9 Aug →
mirage	13–2	0.10	17%	9 Aug →
office	13–5	0.13	18%	9 Aug →
dust2	8–13	0.01	21%	9 Aug →
cache	5–13	0.02	20%	9 Aug →
cache	7–13	-0.08	24%	9 Aug →
inferno	4–13	-0.06	17%	9 Aug →
vertigo	9–13	-0.06	24%	8 Aug →
anubis	13–7	0.06	26%	8 Aug →
nuke	13–9	-0.07	9%	7 Aug →
cache	13–7	0.03	29%	6 Aug →
nuke	8–1	-0.07	75%	6 Aug →
office	8–13	0.03	19%	6 Aug →
dust2	11–13	-0.04	12%	6 Aug →
train	11–13	0.02	14%	6 Aug →
nuke	13–7	0.03	18%	6 Aug →
cache	13–6	-0.04	14%	6 Aug →
ancient	13–10	-0.05	22%	5 Aug →
ancient	13–6	0.04	23%	5 Aug →

Show all 100 matchesShow fewer

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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