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111

111 — CS2 Stats

RU76561199367648852[U:1:1407383124]Steam profile ↗✓ No bans

1,212Tracked matches53%Win rate2023Tracked since
CSDB Rating6.6 SolidHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim90
Positioning47
Utility53

0–100 skill scores via Leetify.

Recent form

COLD53–47Last 10053%Win rateLLLLLWWWLL

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim9.0
Aggression5.9
Utility5.3
Positioning4.7
Opening Duels2.8
Clutch3.2

Sharp aimerStrong 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.

Your pro match

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 60% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim9.0
Positioning4.7
Utility5.3
Mechanics8.2
Opening Duels3.7
Win Impact6.1

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time591ms−32ms
first ⅓ avg 623ms → last ⅓ avg 591ms
Headshot accuracy32.9%+8.7%
first ⅓ avg 24.2% → last ⅓ avg 32.9%

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

0.14Best rating — ancient 13–3
13–1Biggest win — mirage
10Longest win streak
L5Current streak
8–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

trainBest map · 80% over 5dust2Weakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%0.00
ancientC229–1341%0.01
anubisS1713–476%0.03
dust2D165–1131%-0.01
nukeC94–544%0.01
infernoC52–340%-0.02
trainS54–180%0.03
overpass—11–0100%0.10
vertigo—11–0100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,657Matches
52%Win rate
1.14Avg K/D
87.3ADR
59%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage53353%1.2018.3
Anubis28157%1.1818.4
Dust227049%1.0817.2
Ancient21952%1.1717.9
Nuke6641%0.9715.9
Inferno5638%0.9816.4
Train2759%1.2318.7
Vertigo2255%1.2819.3

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.

34.2%Headshot accuracy
32.2%Accuracy (enemy spotted)
36.6%Spray accuracy
86.9%Counter-strafing
7.6°Preaim
593msReaction time
22.1%T opening success
60.0%CT opening success
0.66Enemies flashed / flash
6.7%Flash assists
8.37HE damage / grenade
6.61Flashes / 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 22.0526% — below the 40% mark we flag

Spend your practice time on Dust 2

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.1027%12 Aug →
ancient11–13-0.0232%12 Aug →
dust29–130.0448%6 Jul →
dust29–13-0.0237%26 Jun →
nuke8–13-0.0424%26 Jun →
mirage13–10.0115%20 Jun →
inferno13–6-0.0129%20 Jun →
mirage13–90.0458%20 Jun →
mirage7–13-0.1133%18 Jun →
nuke5–13-0.0331%18 Jun →
dust219–17-0.0848%11 Jun →
dust27–130.0431%20 May →
ancient11–13-0.0336%20 May →
anubis13–80.0337%16 May →
mirage13–110.0440%14 May →
anubis13–70.0439%13 May →
overpass13–50.1033%13 May →
anubis16–140.0828%12 May →
ancient13–8-0.0326%12 May →
dust29–13-0.0426%8 Apr →
ancient13–60.0749%8 Apr →
anubis8–130.0131%1 Apr →
anubis13–110.0641%31 Mar →
anubis13–10-0.0426%24 Mar →
anubis13–90.0426%17 Mar →
mirage11–130.0324%4 Mar →
ancient7–130.0032%2 Mar →
anubis13–90.0441%26 Feb →
mirage13–110.0530%24 Feb →
mirage9–13-0.0233%22 Feb →
mirage13–40.0218%21 Feb →
nuke5–13-0.0331%21 Feb →
nuke16–130.0425%18 Feb →
mirage13–80.0329%18 Feb →
inferno13–60.0233%17 Feb →
mirage13–9-0.0433%17 Feb →
dust213–70.0628%16 Feb →
ancient11–13-0.0319%16 Feb →
mirage9–13-0.0321%15 Feb →
mirage3–13-0.0814%15 Feb →
anubis13–110.1330%15 Jan →
dust26–130.0323%15 Jan →
nuke9–13-0.0236%14 Jan →
anubis13–9-0.0624%12 Jan →
anubis13–110.0525%10 Jan →
anubis13–60.0341%10 Jan →
dust213–6-0.0319%8 Jan →
train13–80.0642%6 Jan →
mirage13–4-0.0222%6 Jan →
nuke13–90.0933%4 Jan →
train25–210.0127%20 Dec →
train13–50.0730%19 Dec →
ancient25–22-0.0125%1 Jun →
train7–13-0.0048%31 May →
inferno8–13-0.0433%21 May →
ancient6–13-0.0536%19 May →
ancient10–130.0224%17 May →
dust29–130.0328%11 May →
dust27–130.0233%9 May →
anubis13–80.0529%9 May →
mirage6–130.0029%8 May →
mirage13–80.0228%6 May →
dust213–40.0834%5 May →
ancient9–13-0.0040%5 May →
train13–100.0445%4 May →
ancient10–13-0.0528%3 May →
mirage13–100.0429%2 May →
mirage11–13-0.0140%30 Apr →
dust26–13-0.0625%29 Apr →
mirage16–190.0230%28 Apr →
dust26–13-0.0314%24 Apr →
ancient7–130.0133%24 Apr →
ancient10–13-0.0023%24 Apr →
anubis6–130.0020%14 Apr →
ancient14–160.0528%12 Apr →
mirage13–100.0719%4 Apr →
ancient13–30.1421%2 Apr →
nuke13–70.1331%2 Apr →
ancient13–90.0824%30 Mar →
mirage13–90.0325%30 Mar →
ancient13–80.0417%25 Mar →
nuke13–5-0.0421%22 Mar →
inferno2–130.0128%2 Nov →
mirage14–160.0121%24 Oct →
dust27–13-0.0317%22 Oct →
ancient13–80.0533%22 Oct →
ancient13–10-0.0419%19 Oct →
mirage9–0-0.0329%18 Oct →
anubis14–16-0.0032%17 Oct →
nuke11–13-0.0120%12 Oct →
vertigo16–12-0.0226%9 Oct →
mirage13–6-0.0220%7 Oct →
anubis6–130.0138%7 Oct →
mirage11–130.0425%6 Oct →
ancient4–13-0.0323%24 Sept →
dust213–4-0.0524%21 Sept →
inferno2–13-0.0927%21 Sept →
ancient13–9-0.0414%20 Sept →
ancient5–13-0.0219%18 Sept →
anubis13–11-0.0315%16 Sept →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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