SikknTwizted

SikknTwizted — CS2 Stats

76561199513107953[U:1:1552842225]Steam profile ↗1 game ban

923Tracked matches42%Win rate2025Tracked since
1,028Hours in CS1Hrs last 2 wks
CSDB Rating3.9 LearningHybrid Rifler
Premier CS Rating6,956Light Blue band · top ~69.4% of ranked players (population est.)
CSDB Leaderboard#23666 of 31298 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.4%40.1%41.7%2.3% short
Shot accuracy0.0%7.6%8.8%8.8% short
Kill/death ratio0.820.920.970.15 short
Match win rate45.5%42.2%43.8%above

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGSikknTwiztedPREMIER6,956 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim66
Positioning44
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateLWLLLWTLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.6
Aggression6.3
Utility1.7
Positioning4.4
Opening Duels3.6
Clutch0.0

Limited utility dependence

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

ropz

Plays most like ropz 80% playstyle similarity

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

Where you differ: lower utility contribution; 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

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

Reaction time. 787ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.6
Positioning4.4
Utility1.7
Mechanics4.4
Opening Duels3.6
Win Impact2.4

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time787ms+86ms
first ⅓ avg 701ms → last ⅓ avg 787ms
Headshot accuracy23.3%+4.7%
first ⅓ avg 18.6% → last ⅓ avg 23.3%

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

0.15Best rating — dust2 13–7
131Biggest win — ancient
5Longest win streak
83In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 57% over 7infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B28141450%0.01
mirageC2191243%-0.01
nukeB157847%-0.01
ancientA116555%-0.00
infernoC83538%-0.02
cacheB84450%-0.04
anubisA74357%0.00
train2020%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,289Lifetime kills
0.82K/D
1,015Matches
45.5%Match win rate · Top 25% of Light Blue band
39.4%Headshot %
0.0%Shot accuracy
1,830MVPs
354Hours (in match)
546Bombs planted
137Bombs defused

Most-used weapons

Lifetime map wins

3,108dust2
1,014inferno
833nuke
364train
171vertigo
134office

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

Faceit stats

Combat

11Matches
55%Win rate
0.51Avg K/D
48.5ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage667%0.396.8
Dust2333%0.7213.3
Inferno10%0.397.0
Anubis1100%0.6710.0

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.

23.8%Headshot accuracy
39.8%Accuracy (enemy spotted)
45.1%Spray accuracy
69.9%Counter-strafing
9.8°Preaim
787msReaction time
41.1%T opening success
48.1%CT opening success
0.34Enemies flashed / flash
2.5%Flash assists
4.66HE damage / grenade
4.70Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 787.0455ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3429 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Inferno

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 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage5–13-0.0631%18 Aug
nuke7–7-0.0524%11 Aug
nuke7–130.0323%9 Aug
nuke9–130.0026%8 Aug
inferno4–13-0.0210%8 Aug
inferno13–50.0421%8 Aug
dust212–120.1131%3 Aug
dust25–130.0532%2 Aug
dust213–7-0.0229%2 Aug
mirage13–7-0.0418%2 Aug
mirage12–120.0739%2 Aug
nuke9–130.0238%2 Aug
ancient13–10.0840%2 Aug
dust213–90.0724%2 Aug
ancient8–13-0.0128%28 Jul
nuke0–13-0.0517%28 Jul
mirage12–12-0.0726%27 Jul
dust211–13-0.0134%27 Jul
mirage3–13-0.0822%25 Jul
dust26–13-0.0621%25 Jul
dust212–12-0.0317%22 Jul
mirage13–80.0415%22 Jul
nuke13–110.015%22 Jul
dust213–100.0511%22 Jul
cache5–13-0.0413%22 Jul
nuke3–13-0.0424%22 Jul
dust213–70.1523%22 Jul
inferno2–11-0.0811%21 Jul
ancient13–9-0.0725%21 Jul
mirage10–130.0930%21 Jul
anubis13–5-0.0022%21 Jul
cache13–6-0.0417%21 Jul
dust213–11-0.0021%21 Jul
ancient10–130.0224%21 Jul
ancient6–13-0.0526%19 Jul
mirage13–11-0.0310%19 Jul
inferno13–7-0.098%19 Jul
dust28–130.0224%19 Jul
nuke5–13-0.0657%19 Jul
nuke10–13-0.0678%19 Jul
mirage6–100.0520%18 Jul
cache3–1-0.0310%18 Jul
dust29–13-0.0515%18 Jul
train4–13-0.0720%18 Jul
ancient13–10-0.0016%17 Jul
ancient13–6-0.0513%17 Jul
dust28–13-0.0318%17 Jul
nuke13–10-0.028%17 Jul
dust213–30.0719%17 Jul
cache3–13-0.0521%16 Jul
mirage8–13-0.1114%16 Jul
dust28–13-0.0219%16 Jul
dust26–13-0.0619%16 Jul
dust213–100.0132%16 Jul
mirage5–13-0.0415%16 Jul
cache9–13-0.0227%16 Jul
mirage16–14-0.0112%15 Jul
dust213–10-0.0713%15 Jul
anubis16–120.027%15 Jul
mirage13–50.0727%15 Jul
inferno13–16-0.0315%15 Jul
nuke13–70.0115%15 Jul
mirage13–4-0.0522%15 Jul
nuke5–13-0.0117%14 Jul
dust213–6-0.0723%14 Jul
dust211–13-0.0120%14 Jul
nuke13–50.0416%14 Jul
dust22–13-0.0533%14 Jul
dust216–120.0320%14 Jul
inferno2–13-0.0121%14 Jul
cache8–13-0.0810%14 Jul
dust213–50.0735%14 Jul
nuke13–11-0.0314%14 Jul
mirage13–60.067%14 Jul
ancient12–120.0221%14 Jul
dust27–13-0.0317%14 Jul
anubis9–130.0412%13 Jul
dust213–6-0.0311%13 Jul
anubis13–40.0218%13 Jul
mirage13–70.0127%13 Jul
ancient13–3-0.0523%12 Jul
mirage8–13-0.1115%12 Jul
mirage7–13-0.0320%12 Jul
cache13–10-0.0831%12 Jul
anubis13–20.0313%11 Jul
nuke13–110.0412%11 Jul
cache13–50.0119%11 Jul
dust213–80.0120%10 Jul
mirage8–130.0118%10 Jul
dust213–100.0316%10 Jul
anubis11–13-0.0618%10 Jul
ancient13–5-0.0215%10 Jul
dust26–130.0919%10 Jul
inferno9–13-0.0618%9 Jul
train5–130.0825%9 Jul
ancient8–130.0923%9 Jul
inferno13–30.0521%9 Jul
mirage12–12-0.0314%9 Jul
anubis10–13-0.0117%9 Jul
mirage13–9-0.0310%9 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →