Scicological

Scicological — CS2 Stats

76561199094293082[U:1:1134027354]Steam profile ↗✓ No bans

788Tracked matches29%Win rate2021Tracked since
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating12,153Blue band · top ~43.5% of ranked players (population est.)
CSDB Leaderboard#5589 of 7882 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGScicologicalFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,153 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning55
Utility41

0–100 skill scores via Leetify.

Recent form

COLD365311Last 10036%Win rateTLWTLLLWLL

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim7.3
Aggression5.6
Utility4.1
Positioning5.5
Opening Duels1.9

Strong 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

NiKo

Plays most like NiKo 89% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Areas to improve

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 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim7.3
Positioning5.5
Utility4.1
Mechanics6.0
Opening Duels2.1
Win Impact0.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time555ms−51ms
first ⅓ avg 605ms → last ⅓ avg 555ms
Headshot accuracy17.5%+0.6%
first ⅓ avg 16.9% → last ⅓ avg 17.5%

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

0.21Best rating — overpass 13–8
132Biggest win — dust2
4Longest win streak
47In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 60% over 10mirageWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
dust2D2171433%-0.00
mirageD1851328%0.01
cacheD1441029%-0.00
nukeD134931%-0.00
infernoA106460%0.02
ancientB84450%0.02
anubisA53260%0.03
train4040%-0.04
vertigo41325%0.03
overpass21150%0.09
poseidon110100%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Mirage 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.

17.5%Headshot accuracy
39.6%Accuracy (enemy spotted)
34.7%Spray accuracy
77.1%Counter-strafing
10.5°Preaim
563msReaction time
28.7%T opening success
46.5%CT opening success
0.52Enemies flashed / flash
6.0%Flash assists
6.63HE damage / grenade
5.08Flashes / 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 28.6728% — below the 40% mark we flag

Spend your practice time on Mirage

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

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0114%24 Aug
cache10–130.038%24 Aug
nuke13–11-0.0521%22 Aug
dust212–12-0.0015%22 Aug
mirage7–130.0117%22 Aug
train11–130.0618%19 Aug
inferno8–130.0810%19 Aug
mirage13–30.1123%19 Aug
mirage8–130.0421%19 Aug
dust26–13-0.0010%16 Aug
inferno13–8-0.0110%16 Aug
vertigo6–130.0518%15 Aug
dust212–120.0117%15 Aug
train12–12-0.0618%10 Aug
mirage5–13-0.0427%9 Aug
dust24–13-0.0216%8 Aug
mirage3–13-0.0322%8 Aug
inferno7–13-0.0210%5 Aug
ancient13–30.0425%5 Aug
mirage15–150.0116%4 Aug
mirage4–13-0.0422%2 Aug
cache2–13-0.0327%2 Aug
ancient13–16-0.0320%2 Aug
anubis13–100.0811%2 Aug
cache13–70.0114%2 Aug
ancient13–50.0717%2 Aug
mirage12–120.0920%2 Aug
nuke11–13-0.0133%2 Aug
vertigo5–13-0.0621%2 Aug
dust210–130.0313%1 Aug
ancient13–100.0517%1 Aug
anubis13–9-0.0316%1 Aug
anubis13–100.1311%1 Aug
mirage1–13-0.107%1 Aug
nuke3–9-0.038%1 Aug
cache1–13-0.0617%31 Jul
mirage7–13-0.0123%31 Jul
inferno13–100.0124%29 Jul
mirage13–40.068%28 Jul
train1–5-0.1150%26 Jul
inferno13–90.0315%26 Jul
dust213–2-0.034%26 Jul
ancient9–13-0.0513%26 Jul
nuke7–13-0.0628%26 Jul
cache9–13-0.0311%25 Jul
mirage6–130.0113%25 Jul
nuke11–13-0.0215%25 Jul
dust213–80.0527%24 Jul
inferno13–100.0921%21 Jul
cache9–2-0.0414%21 Jul
cache13–70.0414%21 Jul
nuke7–13-0.0110%20 Jul
dust28–130.0224%20 Jul
anubis9–130.0219%20 Jul
nuke9–13-0.0413%18 Jul
inferno9–50.0527%12 Jul
anubis5–13-0.0618%11 Jul
cache9–13-0.0512%11 Jul
dust213–40.0230%10 Jul
cache11–13-0.0513%9 Jul
nuke12–12-0.0214%9 Jul
dust212–12-0.0519%8 Jul
cache13–110.0224%8 Jul
nuke11–13-0.0223%7 Jul
train5–13-0.0312%7 Jul
cache11–130.0337%7 Jul
dust26–13-0.068%4 Jul
inferno12–120.0416%4 Jul
cache12–120.0317%4 Jul
overpass4–13-0.0319%4 Jul
mirage3–130.0210%4 Jul
dust213–60.0522%4 Jul
dust213–70.0413%4 Jul
inferno6–13-0.1014%3 Jul
ancient6–130.0323%3 Jul
dust213–30.0219%3 Jul
mirage10–13-0.0313%2 Jul
dust24–13-0.067%2 Jul
nuke13–90.0816%24 Jun
mirage13–8-0.0022%24 Jun
mirage13–70.0619%23 Jun
dust212–120.0210%23 Jun
dust26–13-0.0216%23 Jun
vertigo13–70.1017%22 Jun
dust213–100.0123%22 Jun
poseidon9–70.0030%22 Jun
nuke5–130.0311%21 Jun
ancient13–40.0212%21 Jun
cache11–130.0320%21 Jun
nuke13–60.0112%21 Jun
mirage13–9-0.0212%21 Jun
dust25–130.0015%21 Jun
ancient6–130.0319%21 Jun
overpass13–80.2122%21 Jun
vertigo10–130.0222%20 Jun
nuke10–80.0810%20 Jun
mirage6–130.0824%20 Jun
cache9–130.0314%20 Jun
inferno13–9-0.0220%20 Jun
dust27–13-0.0621%20 Jun

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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