616

616 — CS2 Stats

76561198068647026[U:1:108381298]Steam profile ↗✓ No bans

1,027Tracked matches70%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
WingmanSupreme Master First Class
Ladder ranks via Leetify

Performance scores

Aim81
Positioning43
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateWWLLWLLWLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +5.8pp headshot accuracy · +40ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 588ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 568ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim8.1
Utility6.4
Positioning4.3
Opening Duels1.5
Clutch3.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 98% playstyle similarity

Most alike: utility contribution, positioning 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

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning4.3
Utility6.4
Mechanics7.2
Opening Duels2.3
Win Impact10.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time546ms−14ms
first ⅓ avg 560ms → last ⅓ avg 546ms
Headshot accuracy17.0%+1.2%
first ⅓ avg 15.8% → last ⅓ avg 17.0%

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.

Personal bests

0.27Best match rating · 9–2 · inferno, 3 Apr →
32%Best headshot accuracy · 4–9 · inferno, 30 Jan →
391msFastest reaction time · 13–11 · anubis, 15 Mar →
13–2Biggest win · anubis, 20 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
12–9In matches decided by ≤2 rounds
15Overtime games

Map breakdown

anubisBest map · 75% over 8mirageWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoA2716–1159%0.03
ancientA2616–1062%0.01
overpassS1510–567%-0.01
nukeS107–370%0.02
anubisS86–275%0.01
mirageD51–420%-0.04
train—42–250%0.04
dust2—21–150%-0.03
poseidon—20–20%-0.11
sanctum—11–0100%0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

860Matches
56%Win rate
1.25Avg K/D
82.4ADR
41%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient19860%1.2516.6
Inferno13762%1.2417.0
Anubis8958%1.1315.3
Overpass6555%1.2016.4
Mirage5034%0.9814.1
Dust24641%1.0114.1
Nuke3757%1.1316.6
Vertigo2343%1.0716.0

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.

16.7%Headshot accuracy
36.9%Accuracy (enemy spotted)
42.5%Spray accuracy
82.5%Counter-strafing
9.2°Preaim
548msReaction time
19.5%T opening success
48.0%CT opening success
0.51Enemies flashed / flash
9.0%Flash assists
8.50HE damage / grenade
14.39Flashes / 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.

  1. 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 19.5282% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–90.1020%26 Apr →
nuke16–14-0.0117%26 Apr →
inferno9–130.0123%26 Apr →
ancient11–13-0.047%21 Apr →
nuke13–90.0324%21 Apr →
overpass8–13-0.0522%21 Apr →
overpass9–13-0.0318%17 Apr →
sanctum9–50.1020%3 Apr →
inferno7–9-0.0614%3 Apr →
inferno9–50.1131%3 Apr →
inferno9–20.2714%3 Apr →
inferno13–90.0714%16 Mar →
overpass13–8-0.0018%16 Mar →
inferno13–10-0.028%15 Mar →
anubis13–11-0.0310%15 Mar →
anubis13–100.0310%14 Mar →
anubis3–13-0.0123%14 Mar →
inferno16–130.0518%5 Mar →
inferno15–190.0113%4 Mar →
overpass13–11-0.0211%4 Mar →
anubis13–4-0.0114%3 Mar →
ancient13–60.0219%3 Mar →
nuke11–130.0023%2 Mar →
anubis15–19-0.0614%25 Feb →
inferno11–1-0.0219%23 Feb →
anubis13–80.0116%21 Feb →
nuke13–6-0.0316%21 Feb →
nuke13–60.0210%21 Feb →
ancient10–13-0.0320%21 Feb →
overpass10–00.0420%19 Feb →
anubis13–9-0.0210%19 Feb →
ancient13–40.0530%19 Feb →
ancient13–90.0715%18 Feb →
nuke13–110.0029%16 Feb →
mirage7–13-0.094%16 Feb →
dust213–7-0.0218%16 Feb →
overpass13–3-0.0410%16 Feb →
mirage6–13-0.1419%16 Feb →
inferno13–50.0616%11 Feb →
mirage13–16-0.0110%11 Feb →
ancient8–13-0.0720%11 Feb →
mirage10–130.0132%11 Feb →
ancient13–11-0.079%9 Feb →
nuke8–130.0113%9 Feb →
inferno13–10-0.0314%6 Feb →
mirage13–100.0216%6 Feb →
ancient16–14-0.0013%5 Feb →
ancient8–13-0.0117%3 Feb →
poseidon2–9-0.0710%30 Jan →
poseidon0–9-0.1513%30 Jan →
inferno4–9-0.1232%30 Jan →
nuke9–7-0.0216%30 Jan →
ancient10–130.0124%20 Jan →
anubis13–20.1417%20 Jan →
nuke13–50.0324%20 Jan →
overpass1–13-0.0521%20 Jan →
nuke8–130.1416%17 Dec →
ancient19–170.0216%4 Dec →
overpass12–160.0012%4 Dec →
inferno22–190.0212%2 Dec →
ancient13–70.0327%30 Nov →
ancient13–50.0521%19 Nov →
overpass13–80.0212%17 Nov →
inferno13–110.028%17 Nov →
overpass13–11-0.0116%17 Nov →
inferno8–130.0012%17 Nov →
ancient14–16-0.0014%15 Nov →
ancient13–7-0.0114%15 Nov →
overpass19–170.0515%15 Nov →
ancient13–90.0410%13 Nov →
inferno17–190.0417%13 Nov →
train13–60.0519%13 Nov →
ancient13–110.0517%11 Nov →
inferno13–70.0220%11 Nov →
inferno5–13-0.0131%11 Nov →
overpass13–80.078%11 Nov →
inferno14–160.0514%9 Nov →
overpass13–8-0.0119%9 Nov →
ancient13–80.0311%9 Nov →
ancient5–13-0.006%9 Nov →
ancient13–70.016%7 Nov →
dust28–13-0.0515%7 Nov →
ancient13–90.0013%7 Nov →
train14–160.0413%6 Nov →
inferno5–13-0.0217%6 Nov →
overpass13–80.0213%4 Nov →
ancient12–16-0.0221%4 Nov →
inferno8–13-0.0016%4 Nov →
ancient11–13-0.049%28 Oct →
train11–130.0917%28 Oct →
inferno13–90.0123%27 Oct →
ancient4–13-0.038%22 Oct →
inferno13–80.0224%15 Oct →
inferno8–80.0722%14 Oct →
inferno9–30.1319%14 Oct →
inferno9–20.2127%14 Oct →
train13–10-0.0119%3 Oct →
inferno13–100.0216%22 Sept →
ancient13–100.0217%22 Sept →
overpass3–13-0.075%21 Sept →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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