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Knuckle Dragger — CS2 Stats

76561198119663380[U:1:159397652]

1,977Tracked matches48%Win rate2020Tracked since
2,903Hours in CS1Hrs last 2 wks
CSDB Rating4.0 Developing
Premier CS Rating11,961Blue band · top ~44.5% of ranked players (population est.)
CSDB Leaderboard#8683 of 12229 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGKnuckle DraggerFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,961 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning45
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateLLWWLTLWLW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim5.5
Aggression5.7
Utility3.5
Positioning4.5
Opening Duels1.7
Clutch4.6

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 81% playstyle similarity

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

Where you differ: lower utility contribution; 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 48% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim5.5
Positioning4.5
Utility3.5
Mechanics3.1
Opening Duels2.3
Win Impact4.4

Composite 4.0/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time580ms+22ms
first ⅓ avg 557ms → last ⅓ avg 580ms
Headshot accuracy15.2%−0.3%
first ⅓ avg 15.5% → last ⅓ avg 15.2%

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 — mirage 13–9
13–1Biggest win — office
5Longest win streak
L2Current streak
9–4In matches decided by ≤2 rounds
5Overtime games

Map breakdown

officeBest map · 64% over 25anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeA2516–964%-0.01
dust2C188–1044%-0.01
mirageC135–838%-0.02
ancientB115–645%0.00
nukeA74–357%-0.03
anubisD72–529%-0.03
cache—40–40%-0.03
boulder—30–30%-0.05
shelter—31–233%-0.06
inferno—21–150%-0.04
fachwerk—22–0100%0.01
debris—10–10%-0.08
poseidon—11–0100%0.02
train—10–10%-0.06
vertigo—10–10%-0.04
overpass—11–0100%0.00

Across the last 100 tracked matches.

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

Lifetime stats

60,944Lifetime kills
0.87K/D
4,154Matches
44.6%Match win rate
40.3%Headshot %
6.9%Shot accuracy
6,273MVPs
1,414Hours (in match)
1,268Bombs planted
480Bombs defused

Most-used weapons

AK-4715,077
M4A4 / M4A1-S9,983
AWP5,652
AUG4,368
Desert Eagle4,027
P2000 / USP-S3,270
Glock-182,030
P901,834
SG 5531,811
Nova1,736

Lifetime map wins

18,840office
3,012dust2
2,881nuke
1,588inferno
1,574vertigo
319train
113lake
105italy

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

Faceit stats

Combat

29Matches
52%Win rate
0.60Avg K/D
54.6ADR
49%Headshot %

Clutches & streaks

43%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1060%0.609.2
Inferno617%0.489.2
Dust2580%0.8812.8
Anubis450%0.4811.0
Nuke367%0.547.3
Ancient10%0.539.0

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.

15.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
35.9%Spray accuracy
63.8%Counter-strafing
10.0°Preaim
571msReaction time
25.6%T opening success
48.1%CT opening success
0.51Enemies flashed / flash
2.6%Flash assists
8.39HE damage / grenade
2.89Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.8947 — below the 4 mark we flag

    Grenade Lineups →
  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 25.5859% — below the 40% mark we flag

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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
office2–13-0.077%19 Aug →
office6–13-0.065%3 Aug →
office13–80.0012%3 Aug →
nuke13–50.0017%3 Aug →
ancient10–130.0214%2 Aug →
office12–12-0.0420%2 Aug →
office4–13-0.0117%24 Jul →
ancient13–90.0411%24 Jul →
dust210–130.0512%24 Jul →
office13–8-0.024%23 Jul →
office13–6-0.0426%23 Jul →
office11–13-0.0521%23 Jul →
office11–13-0.0215%22 Jul →
office13–10.0715%22 Jul →
office13–60.0324%22 Jul →
nuke13–16-0.0416%21 Jul →
dust211–13-0.0117%21 Jul →
office3–13-0.0416%19 Jul →
office13–9-0.0114%19 Jul →
mirage10–13-0.0418%18 Jul →
dust28–130.0012%18 Jul →
office13–100.0713%17 Jul →
ancient2–13-0.0118%17 Jul →
dust213–11-0.0224%17 Jul →
nuke3–13-0.0913%17 Jul →
dust213–6-0.0513%17 Jul →
office13–90.0521%16 Jul →
office13–40.0018%16 Jul →
dust213–10-0.0217%16 Jul →
anubis8–13-0.097%15 Jul →
mirage13–11-0.0018%14 Jul →
anubis10–13-0.0113%14 Jul →
mirage6–13-0.0515%14 Jul →
ancient13–16-0.066%13 Jul →
mirage6–13-0.0811%13 Jul →
mirage13–10-0.0214%13 Jul →
anubis13–8-0.052%13 Jul →
dust213–50.0620%12 Jul →
dust213–70.0022%12 Jul →
nuke13–11-0.0110%12 Jul →
ancient3–13-0.083%12 Jul →
boulder3–8-0.080%12 Jul →
dust215–15-0.0028%12 Jul →
dust28–13-0.0112%12 Jul →
dust210–13-0.0615%12 Jul →
dust26–13-0.068%12 Jul →
nuke16–130.0516%12 Jul →
office6–13-0.0630%12 Jul →
inferno13–11-0.0413%12 Jul →
debris3–9-0.084%12 Jul →
poseidon9–50.0218%12 Jul →
boulder12–12-0.0210%12 Jul →
fachwerk13–60.078%12 Jul →
shelter13–10-0.1014%12 Jul →
dust29–13-0.109%12 Jul →
cache6–13-0.0813%12 Jul →
dust215–150.0315%11 Jul →
ancient8–130.0112%11 Jul →
ancient13–70.0015%11 Jul →
mirage13–6-0.0214%11 Jul →
nuke13–11-0.0218%11 Jul →
ancient13–7-0.0016%11 Jul →
ancient13–60.0610%11 Jul →
mirage7–130.0422%11 Jul →
cache7–130.0211%11 Jul →
mirage9–13-0.0516%11 Jul →
dust213–100.0018%11 Jul →
nuke2–13-0.0811%11 Jul →
mirage13–10-0.0122%11 Jul →
cache10–13-0.0010%10 Jul →
mirage13–90.097%10 Jul →
dust22–13-0.0226%10 Jul →
ancient13–50.0312%10 Jul →
office13–110.008%10 Jul →
anubis6–13-0.0326%10 Jul →
office13–9-0.0013%10 Jul →
shelter12–12-0.0520%10 Jul →
fachwerk9–2-0.067%10 Jul →
boulder6–13-0.0510%10 Jul →
shelter5–13-0.0212%9 Jul →
office13–110.0020%7 Jul →
train7–13-0.068%7 Jul →
office13–110.0625%7 Jul →
cache4–10-0.058%7 Jul →
mirage10–13-0.0613%7 Jul →
anubis2–130.0321%7 Jul →
office13–90.0324%6 Jul →
dust213–50.0322%6 Jul →
mirage9–13-0.0513%6 Jul →
mirage7–13-0.0635%5 Jul →
inferno6–13-0.0413%5 Jul →
office13–8-0.0015%5 Jul →
vertigo12–12-0.0410%5 Jul →
office13–8-0.0417%4 Jul →
dust213–9-0.0324%4 Jul →
overpass13–110.0017%4 Jul →
anubis9–13-0.0712%4 Jul →
office9–13-0.0013%3 Jul →
ancient11–13-0.0017%30 Jun →
anubis13–6-0.013%30 Jun →

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 →

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