Docking — CS2 Stats

76561198377169714[U:1:416903986]✓ No bans

598Tracked matches40%Win rate2021Tracked since
831Hours in CS1Hrs last 2 wks
CSDB Rating2.9 Learning
Premier CS Rating10,690Blue band · top ~51.2% of ranked players (population est.)
CSDB Leaderboard#28670 of 40328 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.5%41.4%44.2%3.7% short
Shot accuracy7.1%9.0%11.6%4.5% short
Kill/death ratio0.850.971.030.18 short
Match win rate42.1%43.7%45.2%3.1% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGDockingPREMIER10,690 · Blue bandcsdb.gg/stats

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Performance scores

Aim29
Positioning39
Utility43

0–100 skill scores via Leetify.

Recent form

COLD42562Last 10042%Win rateLLLLLLLLLL

Last 10 vs previous 10: -60pp win rate · +0.01 avg rating

Player DNA

Aim2.9
Aggression4.7
Utility4.3
Positioning3.9
Opening Duels1.3

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 74% playstyle similarity

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

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. 666ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim2.9
Positioning3.9
Utility4.3
Mechanics3.1
Opening Duels1.4
Win Impact1.7

Composite 2.9/10 (Learning), 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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time661ms−3ms
first ⅓ avg 663ms → last ⅓ avg 661ms
Headshot accuracy12.8%−1.8%
first ⅓ avg 14.6% → last ⅓ avg 12.8%

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 — overpass 13–2
132Biggest win — dust2
5Longest win streak
L11Current streak
39In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 70% over 10infernoWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2C2591636%-0.02
mirageC1771041%-0.02
nukeA149564%-0.00
cacheC135838%-0.02
infernoD101910%-0.01
ancientS107370%-0.02
anubisC83538%-0.03
overpass31233%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,239Lifetime kills
0.85K/D
1,273Matches
42.1%Match win rate
40.5%Headshot %
7.1%Shot accuracy
2,026MVPs
460Hours (in match)
643Bombs planted
248Bombs defused

Most-used weapons

Lifetime map wins

3,463dust2
1,627nuke
1,150inferno
385train
185vertigo
78office
19ar_shoots
12cbble

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.

12.5%Headshot accuracy
30.4%Accuracy (enemy spotted)
30.7%Spray accuracy
64.1%Counter-strafing
10.7°Preaim
666msReaction time
28.8%T opening success
41.5%CT opening success
0.62Enemies flashed / flash
10.0%Flash assists
6.16HE damage / grenade
8.12Flashes / 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 12.4889% — 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 28.8428% — 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.

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0718%18 Aug
anubis8–13-0.0313%17 Aug
dust211–13-0.0622%15 Aug
inferno8–13-0.0015%9 Aug
cache4–13-0.0215%7 Aug
dust22–13-0.0615%6 Aug
cache3–130.0212%6 Aug
nuke9–130.029%6 Aug
mirage8–130.0310%5 Aug
dust213–160.0124%4 Aug
dust25–13-0.0710%4 Aug
dust213–90.0312%4 Aug
ancient13–3-0.0213%4 Aug
mirage7–13-0.066%4 Aug
ancient13–5-0.097%3 Aug
cache16–12-0.0111%3 Aug
mirage11–130.0216%3 Aug
nuke13–60.0416%3 Aug
mirage13–4-0.0414%2 Aug
cache14–16-0.049%1 Aug
nuke13–11-0.0014%1 Aug
mirage13–80.0110%31 Jul
dust213–9-0.0110%30 Jul
ancient12–7-0.0412%30 Jul
nuke13–160.0213%29 Jul
inferno5–13-0.0412%29 Jul
dust213–70.027%29 Jul
ancient10–13-0.0712%29 Jul
dust26–13-0.093%28 Jul
dust213–5-0.0714%28 Jul
nuke13–70.0310%28 Jul
anubis13–100.0215%28 Jul
nuke13–8-0.0029%28 Jul
inferno7–13-0.003%28 Jul
inferno11–13-0.049%27 Jul
cache3–13-0.0321%27 Jul
dust215–15-0.0011%26 Jul
dust213–2-0.0410%26 Jul
anubis6–13-0.0411%26 Jul
ancient16–13-0.0011%25 Jul
inferno1–11-0.049%24 Jul
dust25–13-0.0720%24 Jul
cache16–130.0113%24 Jul
mirage13–70.0110%23 Jul
mirage13–9-0.0124%23 Jul
anubis13–6-0.078%23 Jul
cache16–130.0111%22 Jul
ancient6–13-0.047%22 Jul
inferno2–13-0.0529%22 Jul
anubis13–100.0118%22 Jul
mirage5–13-0.0611%22 Jul
mirage13–16-0.0018%21 Jul
cache13–5-0.0321%21 Jul
dust24–13-0.0815%16 Jul
cache11–13-0.0713%16 Jul
dust21–13-0.0911%15 Jul
cache10–13-0.027%15 Jul
dust23–13-0.0015%14 Jul
dust213–50.0118%14 Jul
cache16–130.0216%14 Jul
cache8–13-0.0513%14 Jul
mirage13–8-0.0615%13 Jul
ancient6–13-0.035%13 Jul
dust213–60.028%13 Jul
dust26–130.0915%13 Jul
nuke13–90.0012%11 Jul
inferno13–60.0214%10 Jul
cache9–13-0.049%9 Jul
anubis10–13-0.0514%2 Jul
ancient13–3-0.0413%2 Jul
nuke7–10.0113%2 Jul
dust212–16-0.0414%25 Jun
anubis9–13-0.029%23 Jun
nuke9–9-0.0413%23 Jun
dust210–130.0121%22 Jun
inferno8–13-0.057%21 Jun
nuke9–13-0.055%21 Jun
ancient13–50.0519%21 Jun
nuke6–13-0.0719%20 Jun
dust213–20.0510%20 Jun
mirage4–13-0.0423%20 Jun
overpass11–13-0.0212%19 Jun
dust213–30.0012%19 Jun
mirage3–13-0.0519%18 Jun
mirage14–16-0.0628%18 Jun
mirage7–130.0322%18 Jun
nuke13–90.0321%17 Jun
nuke15–15-0.0310%17 Jun
anubis5–13-0.0916%17 Jun
overpass13–20.0912%17 Jun
nuke13–9-0.0122%17 Jun
overpass11–13-0.0411%17 Jun
dust213–16-0.0616%16 Jun
mirage14–16-0.0711%16 Jun
ancient13–90.0310%16 Jun
inferno8–130.0219%15 Jun
mirage13–60.0110%15 Jun
dust29–13-0.0315%15 Jun
inferno5–130.0420%15 Jun
mirage16–140.008%15 Jun

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 →