加拿大白人男性

加拿大白人男性 — CS2 Stats

CA76561198104545831[U:1:144280103]Steam profile ↗

3,325Tracked matches60%Win rate2020Tracked since
3,498Hours in CS15Hrs last 2 wks
CSDB Rating3.2 Learning
Premier CS Rating4,366Grey band · top ~81.5% of ranked players (population est.)
CSDB Leaderboard#36259 of 47085 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate38.4%37.5%39.7%1.3% short
Shot accuracy8.8%4.5%6.7%above
Kill/death ratio0.860.820.910.04 short
Match win rate37.9%39.1%42.1%4.2% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG加拿大白人男性PREMIER4,366 · Grey bandcsdb.gg/stats

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Performance scores

Aim32
Positioning35
Utility47

0–100 skill scores via Leetify.

Recent form

COLD53461Last 10053%Win rateLLWWLLLLLW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim3.2
Aggression1.6
Utility4.7
Positioning3.5
Opening Duels0.0
Clutch0.2

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 65% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 34% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.2
Positioning3.5
Utility4.7
Mechanics2.2
Opening Duels0.6
Win Impact8.3

Composite 3.2/10 (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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time645ms−71ms
first ⅓ avg 716ms → last ⅓ avg 645ms
Headshot accuracy13.6%+3.3%
first ⅓ avg 10.3% → last ⅓ avg 13.6%

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

0.12Best rating — dust2 13–5
131Biggest win — ancient
8Longest win streak
L2Current streak
63In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 80% over 15infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB30151550%0.01
dust2B28151354%0.01
nukeS1512380%-0.01
ancientA85363%-0.00
anubisC83538%-0.01
infernoD72529%0.02
cache31233%-0.06
train1010%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,792Lifetime kills
0.86K/D · Top 50% of Grey band
4,087Matches
37.9%Match win rate
38.4%Headshot % · Top 50% of Grey band
8.8%Shot accuracy · Top 50% of Grey band
6,481MVPs
1,353Hours (in match)
3,280Bombs planted
686Bombs defused

Most-used weapons

Lifetime map wins

7,274dust2
4,205inferno
3,673nuke
2,557vertigo
262office
39train
8ar_shoots
5ar_baggage

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

Faceit stats

Combat

263Matches
42%Win rate
0.87Avg K/D
80.6ADR
34%Headshot %

Clutches & streaks

21%1v1 clutch win
12%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5446%0.9013.6
Vertigo2050%0.8813.1
Inferno1436%0.8815.6
Ancient1354%0.9112.5
Overpass1050%0.8813.1
Dust21040%1.1416.7
Nuke978%0.8810.7
Anubis933%0.8211.9

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.

13.4%Headshot accuracy
30.9%Accuracy (enemy spotted)
33.1%Spray accuracy
60.0%Counter-strafing
10.1°Preaim
655msReaction time
14.7%T opening success
34.5%CT opening success
0.72Enemies flashed / flash
3.9%Flash assists
8.32HE damage / grenade
11.53Flashes / 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 13.3787% — below the 15% mark we flag

    Aim Training
  2. 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 14.7491% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.053%24 Aug
mirage7–13-0.0329%24 Aug
ancient13–10.0525%24 Aug
mirage13–50.0714%24 Aug
mirage8–130.0414%24 Aug
ancient5–13-0.0110%24 Aug
dust23–130.026%23 Aug
dust213–16-0.0416%23 Aug
mirage8–13-0.0019%19 Aug
nuke13–90.0815%16 Aug
dust213–100.019%16 Aug
mirage9–10.0220%16 Aug
nuke13–100.014%16 Aug
inferno5–130.0613%16 Aug
inferno2–130.025%16 Aug
inferno4–13-0.0419%16 Aug
ancient13–7-0.014%16 Aug
nuke13–10-0.037%15 Aug
nuke7–13-0.0610%15 Aug
dust213–9-0.029%15 Aug
mirage13–60.1018%15 Aug
nuke13–5-0.0210%15 Aug
dust213–11-0.0510%15 Aug
anubis8–130.0815%15 Aug
mirage13–8-0.0012%15 Aug
dust213–100.0316%15 Aug
dust213–70.0516%15 Aug
dust213–80.0029%15 Aug
anubis13–60.0112%15 Aug
cache4–0-0.0033%15 Aug
nuke4–0-0.040%15 Aug
mirage13–3-0.0210%14 Aug
inferno7–13-0.0117%14 Aug
ancient9–130.0314%14 Aug
ancient4–13-0.110%14 Aug
mirage9–13-0.0014%13 Aug
mirage13–110.0412%13 Aug
mirage5–13-0.0615%13 Aug
dust24–130.0217%13 Aug
nuke5–13-0.0010%9 Aug
nuke13–9-0.078%9 Aug
nuke13–5-0.0819%9 Aug
dust21–12-0.087%9 Aug
nuke13–50.0718%9 Aug
mirage13–7-0.0513%9 Aug
anubis4–13-0.103%9 Aug
dust213–60.027%8 Aug
mirage11–130.032%8 Aug
dust211–13-0.0213%8 Aug
mirage13–10-0.0318%8 Aug
ancient13–10-0.028%8 Aug
dust29–13-0.0220%8 Aug
mirage13–40.0513%8 Aug
dust213–30.079%8 Aug
dust26–13-0.0119%3 Aug
mirage10–13-0.0613%3 Aug
nuke13–70.044%3 Aug
cache3–13-0.137%3 Aug
dust23–13-0.049%2 Aug
dust27–130.0011%2 Aug
dust213–60.044%2 Aug
anubis4–13-0.0413%2 Aug
mirage2–8-0.0312%2 Aug
nuke13–110.0322%2 Aug
anubis16–14-0.008%2 Aug
mirage13–50.029%2 Aug
dust213–50.1218%2 Aug
mirage13–20.1012%2 Aug
mirage13–100.059%1 Aug
mirage8–130.0016%1 Aug
dust210–130.0219%1 Aug
mirage8–130.034%31 Jul
ancient13–80.047%31 Jul
train9–13-0.0413%31 Jul
nuke6–13-0.049%29 Jul
nuke13–50.049%29 Jul
inferno8–13-0.0010%29 Jul
mirage13–16-0.017%29 Jul
dust216–14-0.0114%29 Jul
dust213–4-0.0510%29 Jul
nuke13–20.0014%29 Jul
dust29–13-0.0211%28 Jul
ancient13–40.027%28 Jul
mirage7–13-0.006%28 Jul
dust213–60.078%28 Jul
inferno13–100.0611%28 Jul
anubis16–140.028%28 Jul
anubis8–13-0.0327%28 Jul
cache8–13-0.043%28 Jul
mirage13–90.0615%27 Jul
dust214–16-0.017%27 Jul
dust216–130.025%27 Jul
dust216–130.0311%27 Jul
inferno16–120.058%27 Jul
anubis15–15-0.0410%27 Jul
mirage13–40.105%27 Jul
mirage3–13-0.0411%26 Jul
dust25–13-0.0111%26 Jul
mirage13–90.088%26 Jul
mirage5–13-0.0211%25 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 →