Cyclops

Cyclops — CS2 Stats

LV76561198054126540[U:1:93860812]Steam profile ↗✓ No bans

678Tracked matches31%Win rate2023Tracked since
2,313Hours in CS16Hrs last 2 wks
CSDB Rating2.7 Learning
Ladder ranks via Leetify

Performance scores

Aim34
Positioning33
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY34642Last 10034%Win rateLLLLWLWWWL

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

Player DNA

Aim3.4
Aggression3.0
Utility4.3
Positioning3.3
Opening Duels0.0
Clutch2.8

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 67% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 655ms 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

Aim3.4
Positioning3.3
Utility4.3
Mechanics4.6
Opening Duels0.0
Win Impact0.0

Composite 2.7/10 (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 rating-0.03+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time658ms−24ms
first ⅓ avg 683ms → last ⅓ avg 658ms
Headshot accuracy10.0%−0.3%
first ⅓ avg 10.3% → last ⅓ avg 10.0%

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

0.09Best rating — cache 11–13
132Biggest win — mirage
3Longest win streak
L4Current streak
215In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 55% over 11dust2Weakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
ancientC2591636%-0.02
nukeC2191243%-0.03
infernoC1761135%-0.03
dust2D121118%-0.04
mirageA116555%-0.03
overpassD81713%-0.04
cache31233%-0.03
golden1010%-0.10
rooftop1010%-0.14
train110100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (8% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,731Lifetime kills
0.64K/D
2,107Matches
39.9%Match win rate
34.4%Headshot %
2.0%Shot accuracy
2,323MVPs
923Hours (in match)
2,435Bombs planted
386Bombs defused

Most-used weapons

Lifetime map wins

3,155inferno
2,965nuke
1,951dust2
900train
835vertigo
47aztec
16italy
15office

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

Faceit stats

Combat

1,010Matches
50%Win rate
0.73Avg K/D
58.4ADR
32%Headshot %

Clutches & streaks

34%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient22454%0.8211.9
Nuke16657%0.7911.0
Inferno16451%0.7110.6
Mirage14144%0.609.1
Dust29444%0.7010.5
Anubis6239%0.8512.2
Train5252%0.619.5
Overpass4963%0.589.9

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.

10.1%Headshot accuracy
31.4%Accuracy (enemy spotted)
31.7%Spray accuracy
70.8%Counter-strafing
10.5°Preaim
655msReaction time
27.1%T opening success
25.8%CT opening success
0.42Enemies flashed / flash
2.4%Flash assists
6.86HE damage / grenade
6.58Flashes / 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 Crosshair

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

    Headshot accuracy 10.1239% — below the 15% 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 0.4197 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.1247% — below the 40% mark we flag

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.

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0618%21 Aug
mirage10–13-0.0417%15 Aug
nuke11–13-0.119%15 Aug
cache6–13-0.0912%15 Aug
nuke13–8-0.0414%15 Aug
ancient10–130.0713%25 Jul
ancient4–0-0.050%25 Jul
cache13–10-0.0810%24 Jul
ancient25–210.039%1 Jul
dust29–13-0.0622%1 Jul
nuke5–13-0.046%30 Jun
mirage13–4-0.050%27 Jun
nuke13–8-0.048%25 Jun
ancient15–15-0.077%24 Jun
ancient11–13-0.038%24 Jun
nuke10–130.077%24 Jun
cache11–130.0912%23 Jun
ancient13–50.0413%16 Jun
inferno10–13-0.033%15 Jun
inferno7–13-0.068%15 Jun
dust28–13-0.0014%7 Jun
mirage11–13-0.0513%24 May
dust26–13-0.058%23 May
nuke7–13-0.048%23 May
nuke13–9-0.056%21 May
inferno11–13-0.056%21 May
dust213–10-0.0617%14 May
nuke5–13-0.084%13 May
overpass10–13-0.0212%13 May
dust25–13-0.0415%13 May
dust214–160.0113%9 May
ancient13–100.0310%7 May
overpass11–130.0310%26 Apr
mirage13–8-0.057%22 Apr
dust211–13-0.0413%29 Mar
ancient13–10-0.057%22 Mar
ancient13–80.0010%21 Mar
inferno13–100.0412%19 Mar
nuke8–130.0712%12 Mar
ancient12–12-0.053%12 Mar
inferno11–13-0.079%5 Mar
mirage9–130.0216%28 Feb
ancient13–5-0.063%26 Feb
ancient13–50.039%22 Feb
inferno6–13-0.058%21 Feb
mirage16–13-0.027%20 Feb
ancient14–16-0.107%19 Feb
inferno19–160.018%14 Feb
ancient17–19-0.059%13 Jan
inferno3–13-0.094%9 Jan
mirage13–9-0.0011%9 Jan
overpass9–13-0.054%9 Jan
ancient13–90.006%9 Jan
nuke13–7-0.019%8 Jan
ancient13–160.028%31 Dec
ancient11–13-0.0910%30 Dec
ancient10–13-0.035%29 Dec
inferno13–10-0.049%29 Dec
mirage13–2-0.036%28 Dec
dust25–13-0.077%26 Dec
nuke2–13-0.068%24 Dec
overpass13–8-0.0313%23 Dec
inferno6–13-0.0419%23 Dec
nuke13–40.058%23 Dec
nuke11–13-0.014%22 Dec
nuke13–90.0514%22 Dec
dust29–13-0.0219%18 Dec
ancient13–16-0.029%15 Dec
inferno8–13-0.065%30 Nov
ancient10–13-0.0410%30 Nov
overpass5–13-0.0510%29 Nov
mirage8–13-0.0211%29 Nov
nuke13–9-0.066%28 Nov
ancient10–130.027%24 Nov
mirage2–13-0.0610%24 Nov
inferno13–40.0220%3 Nov
inferno13–7-0.0012%2 Nov
nuke11–13-0.037%30 Oct
nuke5–13-0.110%21 Oct
golden6–13-0.104%19 Oct
rooftop6–9-0.1411%19 Oct
inferno12–160.0410%18 Oct
dust211–13-0.0318%18 Oct
dust26–13-0.0626%18 Oct
inferno13–11-0.077%17 Oct
mirage13–9-0.055%14 Oct
overpass5–13-0.077%13 Oct
inferno9–13-0.0915%11 Oct
ancient6–13-0.097%11 Oct
overpass6–13-0.0530%11 Oct
nuke16–14-0.0410%9 Oct
nuke3–13-0.086%4 Oct
ancient13–16-0.037%4 Oct
overpass6–13-0.067%4 Oct
inferno9–13-0.0612%4 Oct
nuke13–100.0111%4 Oct
ancient5–10-0.0815%4 Oct
nuke10–13-0.016%3 Oct
train16–120.0211%2 Oct
ancient8–13-0.008%2 Oct

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 →