Twiksar — CS2 Stats

76561198144853368[U:1:184587640]

2,709Tracked matches79%Win rate2020Tracked since
CSDB Rating7.8 StrongEntry Fragger
FaceitLevel 10 · 3,660 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGTwiksarFACEITLevel 10 · 3,660 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning69
Utility61

0–100 skill scores via Leetify.

Recent form

HOT72244Last 10072%Win rateWWLWWWWWWL

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

Player DNA

Primary style: Entry FraggerHigh opening-fight frequency with above-par success in them.

Aim8.6
Aggression10.0
Utility6.1
Positioning6.9
Opening Duels6.0
Clutch4.0

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

sh1ro

Plays most like sh1ro 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: higher opening-duel success.

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 86 — the mechanical foundation is a clear strength.

CT openings. 74% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 74% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 569ms 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

Aim8.6
Positioning6.9
Utility6.1
Mechanics6.8
Opening Duels5.5
Win Impact10.0

Composite 7.8/10 (Strong), 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 rating0.07−0.02
first ⅓ avg 0.08 → last ⅓ avg 0.07
Reaction time567ms+14ms
first ⅓ avg 552ms → last ⅓ avg 567ms
Headshot accuracy31.3%+4.7%
first ⅓ avg 26.7% → last ⅓ avg 31.3%

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

0.35Best rating — vertigo 13–2
131Biggest win — anubis
12Longest win streak
W2Current streak
23In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 100% over 5officeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
ancientA138562%0.04
mirageS1210283%0.05
anubisS118373%0.10
cacheS108280%0.11
trainA106460%0.07
vertigoS107370%0.06
dust2S76186%0.05
officeC73443%0.06
infernoS76186%0.09
overpassS75271%0.05
nukeS550100%0.08
palacio1010%0.11

Across the last 100 tracked matches.

Faceit stats

Combat

9,769Matches
58%Win rate
1.14Avg K/D
82.6ADR
53%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
16Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage56957%1.2216.5
Ancient49863%1.2616.4
Anubis32758%1.1516.4
Dust227256%1.1816.4
Nuke21667%1.2516.3
Inferno3043%1.0216.3
Overpass2654%1.1715.5
Vertigo2357%1.1216.3

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.

30.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
39.3%Spray accuracy
80.8%Counter-strafing
10.3°Preaim
569msReaction time
33.7%T opening success
74.5%CT opening success
0.52Enemies flashed / flash
14.2%Flash assists
9.75HE damage / grenade
6.38Flashes / 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 33.6647% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
cache13–50.2127%28 Aug
cache13–60.0732%28 Aug
train7–130.0928%18 Aug
mirage13–30.1729%8 Aug
ancient10–10.0031%8 Aug
dust213–90.0332%8 Aug
vertigo13–7-0.0533%4 Aug
vertigo13–80.0530%30 Jul
anubis13–30.0123%25 Jul
anubis9–130.0759%24 Jul
cache13–50.1242%22 Jul
anubis13–30.1222%22 Jul
anubis9–130.1118%22 Jul
dust213–20.0429%16 Jul
cache10–130.1327%16 Jul
ancient13–20.1725%16 Jul
office12–12-0.0227%8 Jul
office13–50.0732%8 Jul
cache13–100.0728%2 Jul
cache13–50.0530%2 Jul
ancient13–80.0525%25 Jun
mirage8–10.0021%25 Jun
mirage13–20.0542%24 Jun
train6–130.0360%17 Jun
train13–70.1435%17 Jun
inferno13–70.1331%10 Jun
ancient13–70.0220%10 Jun
vertigo13–2-0.0327%3 Jun
vertigo9–130.0425%3 Jun
anubis13–10.2130%27 May
dust213–70.0541%20 May
dust213–3-0.0239%20 May
ancient11–13-0.0134%19 May
cache13–80.1323%13 May
ancient13–80.0527%12 May
dust213–30.0938%12 May
cache13–40.1441%6 May
cache6–00.1743%6 May
cache7–130.0237%30 Apr
mirage16–140.0837%24 Apr
train13–4-0.0745%22 Apr
train10–130.0527%22 Apr
train5–130.0219%22 Apr
mirage13–70.0725%15 Apr
vertigo13–50.0929%8 Apr
anubis13–100.0027%2 Apr
ancient6–130.0119%26 Mar
dust28–130.0726%25 Mar
ancient13–10.0339%25 Mar
ancient13–90.0528%21 Mar
overpass13–70.0831%18 Mar
office9–130.1137%18 Mar
overpass13–40.0116%12 Mar
overpass11–13-0.0124%11 Mar
inferno13–110.0435%4 Mar
mirage13–90.0324%4 Mar
nuke13–90.0330%1 Mar
nuke13–4-0.0226%1 Mar
mirage13–9-0.0120%1 Mar
train13–60.1430%25 Feb
mirage13–60.1031%18 Feb
inferno13–70.0638%18 Feb
mirage13–80.0232%15 Feb
vertigo13–20.3529%11 Feb
vertigo13–2-0.0230%11 Feb
train13–80.0830%5 Feb
anubis8–130.0122%4 Feb
anubis13–60.1427%4 Feb
dust213–50.1031%29 Jan
office10–130.0633%22 Jan
office13–70.0615%22 Jan
overpass13–40.0925%14 Jan
overpass13–30.0539%14 Jan
nuke13–50.1127%11 Jan
inferno13–50.0720%25 Dec
ancient6–130.0019%25 Dec
vertigo8–130.0120%18 Dec
anubis13–30.0824%13 Dec
anubis13–30.0835%12 Dec
inferno13–100.1322%5 Dec
ancient13–20.0828%28 Nov
office13–30.0822%28 Nov
overpass12–120.1029%20 Nov
inferno13–90.1533%15 Nov
inferno2–20.0838%13 Nov
mirage13–80.0226%13 Nov
train13–30.1721%5 Nov
train13–10.0928%5 Nov
nuke13–70.1226%30 Oct
ancient0–00.000%24 Oct
vertigo13–30.0630%22 Oct
vertigo9–130.0636%22 Oct
anubis13–60.2323%15 Oct
mirage9–130.0639%8 Oct
palacio6–130.1122%8 Oct
ancient12–120.1026%8 Oct
office10–130.0326%1 Oct
mirage6–13-0.0220%26 Sept
overpass13–20.0537%24 Sept
nuke13–40.1430%17 Sept

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →