cangoseven

cangoseven — CS2 Stats

76561198443710008[U:1:483444280]Steam profile ↗✓ No bans

2,793Tracked matches57%Win rate2023Tracked since
CSDB Rating5.7 SolidPassive Rifler
Premier CS Rating16,935Purple band · top ~20.7% of ranked players (population est.)
CSDB Leaderboard#9405 of 16031 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGcangosevenFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,935 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning37
Utility49

0–100 skill scores via Leetify.

Recent form

HOT56404Last 10056%Win rateWLWWWLWWTW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

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

Aim7.1
Aggression2.7
Utility4.9
Positioning3.7
Opening Duels0.9
Clutch4.4

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 82% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning 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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 44% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim7.1
Positioning3.7
Utility4.9
Mechanics7.8
Opening Duels1.8
Win Impact7.4

Composite 5.7/10 (Solid), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time626ms+9ms
first ⅓ avg 617ms → last ⅓ avg 626ms
Headshot accuracy14.4%−3.1%
first ⅓ avg 17.4% → last ⅓ avg 14.4%

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

0.06Best rating — nuke 10–3
131Biggest win — dust2
6Longest win streak
712In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 67% over 12infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A27161159%-0.03
nukeA23131057%-0.03
ancientA2012860%-0.02
cacheS128467%-0.01
mirageC52340%-0.03
anubisA53260%0.01
infernoD51420%-0.01
vertigo21150%-0.01
office1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

153Matches
46%Win rate
0.97Avg K/D
84.2ADR
41%Headshot %

Clutches & streaks

42%1v1 clutch win
16%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3650%0.9115.3
Inferno2352%1.1717.5
Dust22152%0.9316.1
Vertigo1828%0.8013.8
Ancient1759%1.1818.0
Overpass1436%0.8815.0
Nuke1030%1.0417.5
Anubis944%0.6912.3

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.

14.0%Headshot accuracy
41.5%Accuracy (enemy spotted)
43.4%Spray accuracy
85.3%Counter-strafing
12.7°Preaim
634msReaction time
23.1%T opening success
44.2%CT opening success
0.59Enemies flashed / flash
2.7%Flash assists
7.33HE damage / grenade
5.39Flashes / 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 12.6908° — 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 14.0276% — below the 15% mark we flag

    Aim Training
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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–90.0210%28 Aug
dust211–13-0.0315%27 Aug
cache13–20.0218%22 Aug
dust213–6-0.0111%22 Aug
anubis13–50.0322%22 Aug
nuke3–13-0.0817%22 Aug
nuke13–8-0.018%18 Aug
ancient13–6-0.099%18 Aug
cache15–15-0.0623%17 Aug
dust213–10.0218%13 Aug
ancient10–130.004%7 Aug
ancient9–13-0.0019%6 Aug
dust211–13-0.0526%4 Aug
inferno11–13-0.0517%4 Aug
anubis15–150.018%4 Aug
ancient13–9-0.0224%4 Aug
cache13–70.046%3 Aug
cache5–13-0.109%3 Aug
nuke13–10-0.0512%3 Aug
nuke10–30.0614%1 Aug
inferno16–120.0219%1 Aug
mirage11–13-0.0411%30 Jul
nuke13–8-0.055%30 Jul
dust210–13-0.0214%30 Jul
inferno10–13-0.0010%30 Jul
dust28–13-0.0820%29 Jul
dust213–10-0.047%29 Jul
cache13–90.0414%29 Jul
nuke13–9-0.0115%29 Jul
nuke11–130.0214%29 Jul
vertigo0–13-0.0913%29 Jul
ancient1–13-0.0721%28 Jul
nuke11–13-0.0620%28 Jul
nuke13–110.0025%27 Jul
ancient13–80.039%27 Jul
dust213–2-0.024%27 Jul
ancient7–13-0.0413%27 Jul
dust213–50.0324%27 Jul
ancient13–50.0512%27 Jul
anubis13–70.0010%23 Jul
nuke13–9-0.0911%23 Jul
dust213–10-0.0814%22 Jul
ancient13–50.0415%22 Jul
dust25–13-0.059%22 Jul
mirage13–11-0.0215%22 Jul
nuke8–130.019%22 Jul
dust213–50.0011%22 Jul
nuke13–11-0.0517%22 Jul
anubis15–150.0215%21 Jul
nuke10–13-0.0711%21 Jul
ancient13–70.0219%21 Jul
ancient11–13-0.0010%21 Jul
nuke11–13-0.0425%20 Jul
cache13–11-0.0317%20 Jul
dust211–13-0.0111%19 Jul
mirage5–13-0.0415%19 Jul
nuke13–11-0.0218%19 Jul
nuke6–13-0.0017%18 Jul
ancient13–9-0.0315%18 Jul
ancient11–13-0.0318%15 Jul
cache13–60.0026%15 Jul
dust213–11-0.0219%15 Jul
nuke13–50.0429%15 Jul
dust213–10-0.0221%15 Jul
dust27–13-0.0618%14 Jul
inferno9–13-0.0613%14 Jul
dust216–12-0.0619%14 Jul
ancient13–5-0.0516%14 Jul
nuke10–13-0.0714%14 Jul
nuke12–16-0.0114%14 Jul
ancient6–0-0.070%14 Jul
ancient13–6-0.0315%14 Jul
dust213–5-0.0215%14 Jul
ancient13–80.0116%14 Jul
dust213–8-0.0027%14 Jul
dust213–8-0.0312%13 Jul
ancient11–13-0.0116%13 Jul
cache8–13-0.0019%12 Jul
dust213–160.0211%12 Jul
nuke6–1-0.066%12 Jul
mirage2–13-0.0830%12 Jul
dust216–120.0225%12 Jul
inferno8–130.0226%11 Jul
ancient6–13-0.0814%11 Jul
cache12–160.0011%11 Jul
dust213–90.0411%11 Jul
ancient13–110.0119%11 Jul
cache13–80.0321%10 Jul
dust21–13-0.0713%10 Jul
dust26–13-0.0714%10 Jul
anubis13–7-0.0217%10 Jul
nuke13–10-0.0230%10 Jul
cache13–70.0221%10 Jul
nuke5–13-0.0730%9 Jul
cache13–10-0.0516%9 Jul
dust214–16-0.0524%9 Jul
nuke13–80.0414%9 Jul
office12–12-0.0323%8 Jul
dust213–4-0.0518%8 Jul
vertigo13–90.0618%7 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →