SCIKOAID

SCIKOAID — CS2 Stats

KZ76561199124071011[U:1:1163805283]Steam profile ↗✓ No bans

158Tracked matches50%Win rate2025Tracked since
CSDB Rating3.8 LearningSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

+71Tracked matches · now 158
−3.6ppWin rate · 53.6% → 50.0%

Rating over time

27Days played since 2026-08-16

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim31
Positioning39
Utility53

0–100 skill scores via Leetify.

Recent form

COLD55–38–7Last 10055%Win rateLLLWLLLLTW

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −1.5pp headshot accuracy · −69ms reaction

Win rate down 40pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 11%
  • Avg reaction 680ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 607ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 642ms

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 (+2.2 against its own average).

Aim3.1
Utility5.3
Positioning3.9
Opening Duels0.0

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 62% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 641ms 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

Aim3.1
Positioning3.9
Utility5.3
Mechanics5.2
Opening Duels0.0
Win Impact5.0

Composite 3.8/10 (Learning), 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 rating-0.04+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time643ms−26ms
first ⅓ avg 670ms → last ⅓ avg 643ms
Headshot accuracy10.8%−0.2%
first ⅓ avg 11.0% → last ⅓ avg 10.8%

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

0.08Best match rating · 13–9 · vertigo, 11 Sept →
25%Best headshot accuracy · 13–9 · vertigo, 11 Sept →
445msFastest reaction time · 13–5 · boulder, 12 Sept →
13–1Biggest win · anubis, 17 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
4–1In matches decided by ≤2 rounds
3Overtime games

Map breakdown

boulderBest map · 71% over 7dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoS2114–767%-0.02
nukeA1811–761%-0.05
cacheB137–654%-0.03
anubisC114–736%-0.03
boulderS75–271%-0.02
dust2D61–517%-0.06
overpassD62–433%-0.05
trainB63–350%-0.08
shelter—44–0100%-0.04
mirage—32–167%-0.07
inferno—31–233%-0.03
poseidon—11–0100%-0.08
ancient—10–10%-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.5%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.7%Spray accuracy
73.4%Counter-strafing
13.0°Preaim
641msReaction time
27.3%T opening success
25.2%CT opening success
0.45Enemies flashed / flash
3.8%Flash assists
5.57HE damage / grenade
18.32Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.0187° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.5446% — below the 15% mark we flag

    Aim Training →
  3. 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 0.4537 — below the 0.5 mark we flag

    Grenade Lineups →
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.

17% win rate across 6 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
cache13–16-0.055%30 Sept →
mirage6–13-0.1116%30 Sept →
dust212–16-0.097%29 Sept →
nuke13–8-0.015%29 Sept →
dust20–13-0.0425%29 Sept →
overpass5–13-0.107%28 Sept →
anubis10–130.008%28 Sept →
boulder10–13-0.079%27 Sept →
vertigo12–12-0.0720%27 Sept →
nuke16–13-0.007%27 Sept →
dust28–13-0.0415%27 Sept →
nuke13–7-0.0310%20 Sept →
vertigo7–13-0.086%19 Sept →
boulder13–7-0.0424%19 Sept →
nuke13–7-0.0312%19 Sept →
vertigo12–12-0.0810%18 Sept →
anubis13–80.0111%18 Sept →
dust28–13-0.085%18 Sept →
nuke9–7-0.1121%18 Sept →
inferno9–5-0.029%18 Sept →
shelter13–9-0.058%17 Sept →
boulder8–13-0.026%17 Sept →
anubis13–10.045%17 Sept →
nuke10–130.076%17 Sept →
train13–4-0.0613%16 Sept →
shelter13–30.018%16 Sept →
mirage13–10-0.0724%16 Sept →
vertigo13–8-0.0015%16 Sept →
boulder13–110.0118%16 Sept →
anubis6–13-0.085%16 Sept →
anubis13–60.017%16 Sept →
overpass0–13-0.066%16 Sept →
vertigo3–13-0.038%16 Sept →
boulder13–1-0.0116%14 Sept →
train9–13-0.133%14 Sept →
vertigo4–13-0.043%14 Sept →
shelter13–7-0.0712%12 Sept →
boulder13–50.0113%12 Sept →
dust213–8-0.0513%12 Sept →
cache13–40.0514%12 Sept →
nuke0–5-0.1120%11 Sept →
vertigo13–90.0825%11 Sept →
vertigo10–13-0.0111%11 Sept →
overpass13–10-0.0013%11 Sept →
nuke13–11-0.0210%11 Sept →
vertigo9–13-0.078%11 Sept →
poseidon9–5-0.0821%9 Sept →
vertigo13–8-0.044%7 Sept →
nuke13–9-0.0016%7 Sept →
train13–7-0.0414%5 Sept →
boulder13–6-0.025%5 Sept →
vertigo13–100.0514%5 Sept →
vertigo13–9-0.034%4 Sept →
cache13–6-0.0214%4 Sept →
anubis12–12-0.0610%4 Sept →
nuke13–3-0.0518%4 Sept →
cache13–8-0.0111%4 Sept →
nuke7–13-0.0417%3 Sept →
nuke12–12-0.059%3 Sept →
nuke13–5-0.048%3 Sept →
vertigo13–70.0116%3 Sept →
anubis10–13-0.0217%2 Sept →
anubis9–13-0.0721%2 Sept →
cache13–2-0.0410%2 Sept →
vertigo13–30.0618%31 Aug →
cache13–4-0.026%31 Aug →
anubis12–12-0.036%31 Aug →
cache6–13-0.048%31 Aug →
cache13–10-0.047%31 Aug →
nuke3–13-0.0920%31 Aug →
vertigo13–7-0.038%30 Aug →
overpass11–13-0.0613%29 Aug →
vertigo13–7-0.048%29 Aug →
cache10–13-0.0711%28 Aug →
cache7–13-0.0617%28 Aug →
cache5–13-0.058%28 Aug →
vertigo13–90.018%28 Aug →
vertigo13–9-0.0113%27 Aug →
nuke12–12-0.0318%27 Aug →
overpass13–4-0.0118%27 Aug →
vertigo13–11-0.0310%26 Aug →
shelter13–5-0.064%26 Aug →
cache5–13-0.0617%26 Aug →
cache13–7-0.0213%26 Aug →
train2–13-0.099%20 Aug →
ancient1–13-0.137%20 Aug →
dust28–13-0.072%20 Aug →
mirage13–5-0.0310%20 Aug →
inferno10–13-0.0212%19 Aug →
nuke13–6-0.0815%19 Aug →
vertigo13–5-0.046%19 Aug →
nuke13–8-0.118%19 Aug →
anubis5–13-0.082%19 Aug →
nuke12–12-0.0711%19 Aug →
overpass7–13-0.108%19 Aug →
inferno3–13-0.0521%19 Aug →
vertigo13–9-0.084%19 Aug →
anubis13–8-0.0111%19 Aug →
train13–3-0.0718%16 Aug →
train4–13-0.0921%16 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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