twizzy — CS2 Stats

76561198050682676[U:1:90416948]

504Tracked matches66%Win rate2020Tracked since
CSDB Rating5.5 Solid
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

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CSDB.GGtwizzyFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim52
Positioning44
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY57367Last 10057%Win rateWWWWWLWLLW

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

Player DNA

Aim5.2
Aggression5.1
Utility6.6
Positioning4.4
Opening Duels0.9
Clutch0.0

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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. 651ms 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

Aim5.2
Positioning4.4
Utility6.6
Mechanics6.1
Opening Duels1.2
Win Impact10.0

Composite 5.5/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time657ms+94ms
first ⅓ avg 563ms → last ⅓ avg 657ms
Headshot accuracy21.1%−3.5%
first ⅓ avg 24.6% → last ⅓ avg 21.1%

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

0.17Best rating — office 13–2
131Biggest win — dust2
7Longest win streak
W5Current streak
46In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 80% over 5nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A63372659%0.02
officeC94544%0.04
nukeD61517%-0.00
infernoB63350%-0.01
mirageS54180%0.02
ancient43175%0.02
overpass32167%0.00
anubis32167%-0.03
vertigo110100%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

124Matches
52%Win rate
1.25Avg K/D
82.4ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

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
27.7%Accuracy (enemy spotted)
26.7%Spray accuracy
77.3%Counter-strafing
8.1°Preaim
651msReaction time
27.9%T opening success
39.6%CT opening success
0.68Enemies flashed / flash
11.2%Flash assists
8.97HE damage / grenade
9.49Flashes / 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 27.8757% — below the 40% mark we flag

Spend your practice time on Nuke

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.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–3-0.0123%23 Aug
dust213–70.1231%23 Aug
dust213–30.0512%23 Aug
dust213–60.0723%22 Aug
dust213–70.0118%22 Aug
dust26–13-0.0022%22 Aug
dust213–40.0329%17 Jul
ancient11–13-0.0032%5 Jul
dust24–13-0.0317%10 Jun
dust29–10.0317%10 Jun
dust213–80.1228%10 Jun
dust212–12-0.0120%10 Jun
dust213–90.0926%10 Jun
dust28–13-0.0513%10 Jun
dust213–80.0521%10 Jun
dust213–40.1228%10 Jun
dust213–50.0518%8 Jun
dust213–50.0621%8 Jun
dust213–90.0326%8 Jun
dust213–11-0.0115%8 Jun
dust213–60.0526%8 Jun
dust22–130.0020%8 Jun
dust213–80.0316%8 Jun
dust27–110.0119%17 May
dust27–130.0120%10 May
dust25–130.0317%10 May
dust213–8-0.0324%10 May
dust213–60.0013%10 May
dust23–13-0.0317%10 May
dust23–13-0.0214%7 May
dust213–80.0419%5 May
dust24–13-0.0229%5 May
dust213–50.0725%4 May
dust213–90.0426%4 May
dust211–130.0330%4 May
dust25–130.0927%4 May
dust28–130.0318%4 May
dust213–90.0324%3 May
dust213–5-0.0032%3 May
dust211–13-0.0318%2 Apr
dust26–13-0.0020%1 Apr
dust213–9-0.0136%1 Apr
dust212–12-0.0319%1 Apr
ancient13–10-0.0127%27 Mar
overpass13–100.0614%27 Mar
nuke13–9-0.0315%27 Mar
nuke8–130.0115%26 Mar
inferno5–13-0.0324%26 Mar
dust215–150.1230%26 Mar
mirage13–90.0126%26 Mar
mirage13–3-0.0416%26 Mar
dust26–13-0.0229%26 Mar
dust213–30.0360%26 Mar
dust213–80.0417%26 Mar
dust28–130.0326%26 Mar
dust213–100.0123%24 Mar
dust213–10.0721%24 Mar
dust213–90.0424%24 Mar
dust213–50.0434%24 Mar
dust28–130.0017%24 Mar
dust27–13-0.0424%24 Mar
dust213–60.0723%23 Mar
dust212–120.0014%23 Mar
dust211–130.0126%23 Mar
dust213–80.0117%23 Mar
office13–70.0420%23 Mar
nuke9–13-0.0221%21 Mar
office7–13-0.0824%21 Mar
inferno7–00.0756%19 Mar
anubis13–11-0.0016%16 Mar
ancient13–50.0726%16 Mar
dust213–40.0935%14 Mar
nuke12–120.0325%14 Mar
mirage13–60.0828%14 Mar
office12–120.1121%8 Mar
anubis8–13-0.0719%8 Mar
vertigo13–50.0419%8 Mar
nuke5–13-0.0123%7 Mar
overpass13–7-0.0421%7 Mar
inferno9–10-0.0631%13 Feb
mirage13–110.0233%12 Feb
office12–90.0725%9 Feb
inferno2–130.0226%8 Feb
dust213–10-0.0123%7 Feb
anubis13–6-0.0224%7 Feb
dust26–13-0.0942%7 Feb
dust26–130.0320%7 Feb
ancient13–90.049%7 Feb
office13–20.0829%1 Feb
office12–12-0.0519%31 Jan
inferno11–13-0.0121%16 Jan
overpass10–13-0.0225%14 Jan
mirage14–160.0329%13 Jan
dust213–9-0.0920%13 Jan
inferno13–8-0.0336%13 Jan
dust213–90.0818%13 Jan
nuke5–130.0015%13 Jan
office13–20.1717%4 Jan
office10–130.0818%4 Jan
office8–13-0.0521%3 Jan

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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