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Cig

Cig — CS2 Stats

US76561198033315125[U:1:73049397]Steam profile ↗✓ No bans

232Tracked matches45%Win rate2020Tracked since
451Hours in CS
CSDB Rating3.8 Learning
Ladder ranks via Leetify

Performance scores

Aim46
Positioning36
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY39–56–5Last 10039%Win rateLLWLWLWWWW

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

Player DNA

Aim4.6
Aggression3.9
Utility0.8
Positioning3.6
Opening Duels0.6

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 66% playstyle similarity

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

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.

Reaction time. 743ms 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

Aim4.6
Positioning3.6
Utility0.8
Mechanics8.0
Opening Duels0.6
Win Impact3.3

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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time736ms+14ms
first ⅓ avg 722ms → last ⅓ avg 736ms
Headshot accuracy12.3%−0.6%
first ⅓ avg 12.9% → last ⅓ avg 12.3%

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

0.16Best rating — inferno 13–0
13–0Biggest win — inferno
7Longest win streak
L2Current streak
7–7In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 56% over 9anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%-0.01
infernoB157–847%0.01
nukeD102–820%-0.04
ancientC94–544%0.01
mirageA95–456%0.01
anubisD61–517%-0.02
officeC52–340%-0.02
grail—41–325%0.01
cache—32–167%-0.02
jura—31–233%0.01
overpass—31–233%-0.04
thera—31–233%-0.02
vertigo—20–20%0.03
boulder—10–10%0.00
fachwerk—11–0100%0.10
alpine—11–0100%0.05
warden—10–10%-0.01
agency—11–0100%-0.09
train—10–10%-0.02
italy—10–10%-0.03
memento—10–10%-0.15
mills—10–10%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

23,342Lifetime kills
0.92K/D
1,490Matches
34.8%Match win rate
26.3%Headshot %
17.1%Shot accuracy · Top 25% of tracked players
1,805MVPs
451Hours (in match)
1,039Bombs planted
248Bombs defused

Most-used weapons

SG 5533,804
AWP2,879
AUG2,629
Knife2,271
M4A4 / M4A1-S1,122
XM10141,081
P90885
P2000 / USP-S876
AK-47839
Glock-18724

Lifetime map wins

2,810dust2
1,389inferno
635vertigo
578nuke
173office
141train
66ar_shoots
64ar_baggage

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

Skill profile

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

11.9%Headshot accuracy
37.1%Accuracy (enemy spotted)
38.9%Spray accuracy
86.0%Counter-strafing
13.2°Preaim
743msReaction time
30.5%T opening success
34.5%CT opening success
0.20Enemies flashed / flash
3.5%Flash assists
7.99HE damage / grenade
0.57Flashes / 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 13.1935° — 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 11.9197% — below the 15% mark we flag

    Aim Training →
  3. 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 743.4542ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient6–130.038%2 Aug →
boulder11–130.009%15 Jul →
fachwerk13–90.1016%15 Jul →
cache8–13-0.047%15 Jul →
dust213–110.059%5 Jul →
dust29–130.0015%25 Jun →
cache13–6-0.0517%24 Jun →
dust213–9-0.059%4 Jun →
cache13–80.038%6 May →
inferno13–00.1613%26 Apr →
inferno9–60.0821%25 Apr →
alpine13–80.0511%23 Mar →
mirage13–10-0.053%16 Feb →
dust210–13-0.0413%16 Feb →
dust213–80.029%14 Feb →
inferno13–6-0.016%14 Feb →
warden12–12-0.018%22 Jan →
inferno8–13-0.019%11 Sept →
nuke8–13-0.0410%10 Sept →
mirage11–130.0517%30 Aug →
ancient13–70.1319%30 Aug →
grail13–50.0610%29 Aug →
grail6–130.004%29 Aug →
dust23–130.007%27 Aug →
ancient3–13-0.0515%11 Aug →
inferno8–13-0.0628%11 Aug →
dust24–13-0.0324%21 Jun →
dust25–130.0017%8 Jun →
jura1–13-0.0517%5 Jun →
jura3–130.0017%5 Jun →
ancient13–11-0.0212%2 Jun →
grail5–13-0.0510%2 Jun →
grail12–120.0111%15 May →
agency13–6-0.095%15 May →
jura13–80.0819%15 May →
train12–12-0.0220%20 Nov →
dust210–13-0.0812%13 Nov →
mirage5–13-0.070%4 Nov →
ancient6–50.0114%1 Nov →
anubis3–130.0429%22 Oct →
mirage13–80.0215%22 Oct →
vertigo11–130.0318%18 Oct →
nuke11–130.037%10 Oct →
nuke2–13-0.0913%3 Oct →
inferno13–11-0.0519%3 Oct →
dust213–110.1017%3 Oct →
italy8–13-0.0310%3 Oct →
nuke7–13-0.0126%25 Sept →
memento2–9-0.150%19 Sept →
nuke1–13-0.1217%18 Sept →
dust213–9-0.0010%5 Sept →
ancient13–60.0513%27 Aug →
overpass2–13-0.0911%22 Aug →
mills7–13-0.0426%22 Aug →
inferno11–13-0.0118%22 Aug →
nuke13–50.0724%22 Aug →
office4–13-0.0531%7 Aug →
thera6–13-0.0215%7 Aug →
inferno11–130.0416%6 Aug →
inferno7–13-0.066%5 Aug →
dust24–1-0.0717%5 Aug →
mirage7–13-0.0716%5 Aug →
dust213–100.0115%4 Aug →
dust25–13-0.0717%3 Aug →
thera7–13-0.0313%2 Aug →
anubis0–5-0.0113%2 Aug →
nuke13–40.0113%2 Aug →
mirage13–11-0.0011%2 Aug →
thera13–8-0.0211%31 Jul →
inferno4–13-0.0711%10 May →
nuke4–13-0.107%8 May →
dust29–13-0.0426%7 May →
nuke3–13-0.100%1 May →
dust28–130.0110%28 Apr →
overpass10–130.0222%27 Apr →
inferno13–80.0316%26 Apr →
dust213–110.0620%26 Apr →
anubis7–13-0.077%21 Apr →
inferno13–5-0.008%21 Apr →
office13–50.0118%15 Apr →
office10–13-0.019%9 Apr →
mirage13–90.0711%9 Apr →
dust213–8-0.0114%8 Apr →
mirage12–120.0717%7 Apr →
ancient6–13-0.0412%5 Apr →
overpass13–8-0.0314%3 Apr →
anubis13–8-0.0412%3 Apr →
anubis4–13-0.080%2 Apr →
vertigo11–130.0321%30 Mar →
inferno13–90.0916%29 Mar →
office13–4-0.0531%29 Mar →
dust22–13-0.0518%29 Mar →
office5–13-0.018%28 Mar →
anubis12–120.0314%27 Mar →
mirage13–70.073%27 Mar →
nuke5–13-0.0313%27 Mar →
ancient5–13-0.0311%24 Mar →
inferno7–130.088%24 Mar →
inferno2–13-0.0617%23 Mar →
ancient8–13-0.009%23 Mar →

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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