-wyne- — CS2 Stats

76561198139965314[U:1:179699586]

3,734Tracked matches40%Win rate2020Tracked since

5,015Hours in CS11Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating27,157Top 10% of 17,162 CSDB-tracked playersRed band · top ~2% of ranked players (population est.)

CSDB Leaderboard#1218 of 32155 tracked

FaceitLevel 10 · 2,357 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate	36.2%	52.0%
Shot accuracy	14.2%	13.7%
Kill/death ratio	1.01	1.08
Match win rate	54.5%	48.8%

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Performance scores

Aim79

Positioning56

Utility77

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateWWWLLLLLWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression7.0

Utility7.7

Positioning5.6

Opening Duels2.0

Clutch4.0

Effective flashesHigh utility contribution

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 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

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

Aim7.9

Positioning5.6

Utility7.7

Mechanics5.8

Opening Duels2.0

Win Impact1.7

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time544ms−24ms

first ⅓ avg 568ms → last ⅓ avg 544ms

Headshot accuracy17.2%+0.7%

first ⅓ avg 16.5% → last ⅓ avg 17.2%

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 — nuke 13–4

13–1Biggest win — mirage

6Longest win streak

W3Current streak

9–12In matches decided by ≤2 rounds

13Overtime games

Map breakdown

nukeBest map · 62% over 13anubisWeakest map · 38% over 26

Map	Grade	Played	Record	Win rate	Avg rating
anubis	C	26	10–16	38%	0.01
ancient	B	26	14–12	54%	0.00
inferno	B	22	10–12	45%	0.00
nuke	A	13	8–5	62%	0.02
cache	A	12	7–5	58%	0.03
mirage	—	1	1–0	100%	0.09

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

153,095Lifetime kills

1.01K/D

7,254Matches

54.5%Match win rate · Top 25% of Level 10 players

36.2%Headshot %

14.2%Shot accuracy · Top 50% of Level 10 players

20,873MVPs

3,687Hours (in match)

8,511Bombs planted

2,274Bombs defused

Most-used weapons

AK-4747,436

M4A4 / M4A1-S27,594

AWP18,953

P2000 / USP-S6,853

Tec-96,079

Glock-184,955

P2504,215

Galil AR3,854

Desert Eagle3,459

Knife3,341

Lifetime map wins

10,559inferno

9,959dust2

6,337vertigo

4,494nuke

2,117train

317cbble

189lake

184office

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

Faceit stats

Combat

1,491Matches

53%Win rate

1.08Avg K/D

83.5ADR

39%Headshot %

Clutches & streaks

40%1v1 clutch win

26%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	186	53%	1.15	16.8
Anubis	160	51%	1.13	17.9
Inferno	99	49%	1.06	17.0
Overpass	76	57%	1.17	17.5
Nuke	71	52%	1.18	17.6
Vertigo	61	57%	1.17	16.2
Cache	35	63%	1.43	19.8
Train	32	56%	1.24	18.1

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.

17.2%Headshot accuracy

41.1%Accuracy (enemy spotted)

45.9%Spray accuracy

75.9%Counter-strafing

11.3°Preaim

547msReaction time

31.9%T opening success

44.4%CT opening success

0.72Enemies flashed / flash

12.3%Flash assists

12.33HE damage / grenade

12.74Flashes / 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 31.9404% — below the 40% mark we flag

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.

38% win rate across 26 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	13–6	0.05	22%	19 Aug →
anubis	13–3	0.05	20%	19 Aug →
anubis	19–17	0.01	14%	18 Aug →
inferno	8–13	0.06	23%	18 Aug →
anubis	11–13	-0.03	22%	18 Aug →
nuke	9–13	-0.01	9%	18 Aug →
inferno	4–13	-0.06	16%	17 Aug →
cache	5–13	0.00	19%	17 Aug →
nuke	13–8	0.05	18%	17 Aug →
inferno	5–13	0.01	13%	17 Aug →
anubis	14–16	0.02	13%	17 Aug →
ancient	4–13	-0.05	21%	17 Aug →
ancient	4–3	-0.07	22%	17 Aug →
nuke	13–7	0.10	23%	17 Aug →
anubis	16–19	0.00	20%	11 Aug →
inferno	11–13	-0.00	15%	11 Aug →
anubis	14–16	0.02	25%	11 Aug →
ancient	9–13	-0.04	19%	11 Aug →
inferno	8–13	0.02	7%	11 Aug →
inferno	13–8	0.01	16%	10 Aug →
anubis	13–11	0.00	32%	10 Aug →
anubis	4–13	-0.09	13%	10 Aug →
ancient	11–13	0.04	11%	9 Aug →
cache	13–3	0.10	13%	9 Aug →
inferno	13–10	-0.02	14%	9 Aug →
anubis	8–13	-0.01	15%	9 Aug →
nuke	7–13	-0.01	13%	9 Aug →
ancient	13–8	0.09	25%	9 Aug →
anubis	16–13	0.02	9%	9 Aug →
nuke	5–13	-0.00	18%	9 Aug →
cache	13–7	0.01	15%	9 Aug →
cache	13–11	0.01	19%	9 Aug →
ancient	13–6	0.11	15%	9 Aug →
inferno	1–13	-0.01	6%	9 Aug →
inferno	16–14	0.01	34%	8 Aug →
anubis	11–13	0.00	14%	6 Aug →
anubis	13–8	-0.06	8%	6 Aug →
nuke	13–4	0.13	19%	6 Aug →
ancient	13–10	-0.04	9%	5 Aug →
inferno	3–13	-0.01	16%	5 Aug →
inferno	3–13	-0.01	12%	3 Aug →
ancient	10–13	-0.05	10%	3 Aug →
cache	13–4	0.12	23%	3 Aug →
inferno	13–8	0.03	38%	3 Aug →
nuke	7–13	-0.04	16%	3 Aug →
cache	8–13	-0.08	10%	3 Aug →
ancient	7–13	-0.02	10%	3 Aug →
nuke	13–5	0.09	9%	3 Aug →
inferno	13–2	0.00	25%	3 Aug →
cache	13–6	0.08	22%	3 Aug →
ancient	13–9	-0.01	32%	2 Aug →
anubis	11–13	0.03	11%	2 Aug →
mirage	13–1	0.09	17%	31 Jul →
ancient	13–7	-0.01	18%	31 Jul →
ancient	13–5	0.01	14%	31 Jul →
nuke	13–5	0.03	30%	31 Jul →
ancient	13–7	-0.00	14%	31 Jul →
ancient	10–13	0.05	25%	30 Jul →
anubis	9–13	-0.05	12%	30 Jul →
anubis	13–5	0.10	14%	30 Jul →
cache	5–13	0.02	24%	28 Jul →
anubis	3–13	0.03	19%	28 Jul →
inferno	13–8	-0.08	14%	28 Jul →
ancient	9–13	0.01	21%	28 Jul →
anubis	13–9	0.04	14%	28 Jul →
cache	9–13	-0.02	13%	28 Jul →
inferno	5–13	-0.04	16%	28 Jul →
nuke	13–7	-0.05	0%	27 Jul →
inferno	13–10	0.09	19%	27 Jul →
inferno	16–19	0.04	11%	27 Jul →
anubis	7–13	-0.02	12%	27 Jul →
anubis	11–13	0.02	16%	27 Jul →
anubis	13–6	-0.00	15%	27 Jul →
inferno	13–10	-0.05	12%	27 Jul →
inferno	4–13	-0.04	17%	26 Jul →
nuke	16–14	-0.03	19%	26 Jul →
ancient	3–13	-0.04	23%	26 Jul →
ancient	13–3	0.08	9%	26 Jul →
ancient	13–10	-0.01	13%	24 Jul →
ancient	9–13	-0.02	19%	24 Jul →
cache	16–13	0.04	26%	23 Jul →
anubis	14–16	0.06	16%	23 Jul →
ancient	13–9	-0.02	12%	23 Jul →
ancient	13–11	-0.02	18%	23 Jul →
ancient	13–2	0.08	12%	23 Jul →
ancient	19–17	-0.02	10%	23 Jul →
anubis	13–10	-0.01	20%	23 Jul →
anubis	16–12	0.01	18%	23 Jul →
cache	9–13	0.03	12%	22 Jul →
anubis	8–13	0.01	20%	22 Jul →
cache	13–11	0.01	25%	22 Jul →
nuke	15–15	0.04	22%	22 Jul →
inferno	7–13	0.00	21%	22 Jul →
ancient	11–13	-0.04	14%	22 Jul →
anubis	11–13	0.01	14%	22 Jul →
inferno	13–7	0.01	33%	21 Jul →
nuke	13–8	0.01	19%	21 Jul →
anubis	11–13	-0.06	13%	21 Jul →
ancient	10–13	-0.02	16%	21 Jul →
ancient	6–13	0.01	19%	21 Jul →