Danksy

Danksy — CS2 Stats

AU76561198055670290[U:1:95404562]Steam profile ↗✓ No bans

3,171Tracked matches59%Win rate2020Tracked since
2,953Hours in CS
CSDB Rating7.7 StrongPositional Player
Premier CS Rating20,841Pink band · top ~7.6% of ranked players (population est.)
FaceitLevel 6 · 1,209 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGDanksyFACEITLevel 6 · 1,209 ELOSTANDINGTop 54.0% of rankedPREMIER20,841 · Pink bandcsdb.gg/stats

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Performance scores

Aim90
Positioning64
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLWWWWWLLLT

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +0.8pp headshot accuracy · −7ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 525ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 520ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 524ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim9.0
Utility5.7
Positioning6.4
Opening Duels4.0
Clutch5.0

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 94% playstyle similarity

Most alike: aim profile, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

T openings. 69% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 69% on T to 43% on CT — first contacts on the defending side are being lost.

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

Aim9.0
Positioning6.4
Utility5.7
Mechanics8.2
Opening Duels6.5
Win Impact7.9

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time538ms−38ms
first ⅓ avg 576ms → last ⅓ avg 538ms
Headshot accuracy18.6%+1.0%
first ⅓ avg 17.7% → last ⅓ avg 18.6%

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.

Personal bests

0.11Best match rating · 13–3 · nuke, 13 Oct →
40%Best headshot accuracy · 13–2 · ancient, 17 Oct →
414msFastest reaction time · 17–19 · inferno, 11 Nov →
13–1Biggest win · mirage, 23 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–9In matches decided by ≤2 rounds
20Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B209–1145%0.00
infernoC188–1044%-0.00
mirageB158–753%-0.02
cacheB157–847%-0.00
ancientC146–843%0.00
anubisA117–464%0.02
nukeS75–271%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

140,250Lifetime kills
0.96K/D
7,222Matches
32.6%Match win rate
48.4%Headshot %
4.9%Shot accuracy
11,720MVPs
2,953Hours (in match)
4,504Bombs planted
1,432Bombs defused

Most-used weapons

AK-4765,202
AWP11,550
MP92,220
Knife1,335
P2501,289

Lifetime map wins

13,214dust2
6,329inferno
3,433nuke
1,962vertigo
1,175train
362office
159dust
143cbble

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

Faceit stats

Combat

180Matches
48%Win rate
1.03Avg K/D
76.4ADR
49%Headshot %

Clutches & streaks

45%1v1 clutch win
20%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5139%0.8814.4
Dust24149%1.2317.8
Inferno3566%1.0414.0
Ancient1724%0.9412.5
Anubis978%1.3319.2
Overpass825%0.8712.5
Train771%1.0515.3
Cache743%0.9913.1

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.

19.2%Headshot accuracy
41.3%Accuracy (enemy spotted)
45.5%Spray accuracy
87.0%Counter-strafing
9.7°Preaim
542msReaction time
69.1%T opening success
43.2%CT opening success
0.60Enemies flashed / flash
7.1%Flash assists
8.57HE damage / grenade
8.44Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno17–19-0.0323%11 Nov →
inferno13–9-0.0130%11 Nov →
anubis13–80.0423%11 Nov →
mirage13–70.0220%9 Nov →
cache13–50.0119%9 Nov →
dust213–9-0.0419%9 Nov →
mirage6–13-0.079%8 Nov →
mirage6–130.0020%8 Nov →
cache6–130.0313%8 Nov →
inferno15–15-0.0122%8 Nov →
ancient16–130.0220%8 Nov →
mirage11–130.0314%7 Nov →
anubis10–13-0.0122%7 Nov →
anubis13–30.0510%7 Nov →
nuke9–13-0.0010%7 Nov →
dust28–130.0527%7 Nov →
dust216–14-0.0115%6 Nov →
anubis11–130.0929%6 Nov →
mirage13–100.0129%6 Nov →
ancient16–130.0515%6 Nov →
dust213–50.0521%6 Nov →
cache6–130.0224%6 Nov →
mirage13–7-0.026%26 Oct →
nuke13–30.0731%26 Oct →
anubis13–70.0324%26 Oct →
dust29–13-0.0121%25 Oct →
mirage4–13-0.097%25 Oct →
dust213–70.0217%25 Oct →
dust213–10-0.0517%25 Oct →
mirage13–3-0.0217%23 Oct →
anubis15–150.0215%23 Oct →
inferno5–13-0.0516%23 Oct →
cache15–15-0.0314%23 Oct →
cache13–6-0.0018%23 Oct →
ancient6–13-0.0715%23 Oct →
dust213–60.0018%23 Oct →
dust23–13-0.029%23 Oct →
dust211–13-0.0226%23 Oct →
mirage13–10.0424%23 Oct →
cache13–70.0418%23 Oct →
anubis8–130.0013%20 Oct →
cache9–130.0321%20 Oct →
inferno16–120.0225%20 Oct →
cache13–9-0.0224%20 Oct →
nuke13–10-0.0315%19 Oct →
inferno14–16-0.0217%19 Oct →
anubis13–11-0.0323%19 Oct →
mirage13–3-0.0526%19 Oct →
dust210–130.0015%19 Oct →
mirage13–5-0.0123%17 Oct →
anubis13–70.0726%17 Oct →
ancient13–20.0840%17 Oct →
inferno13–11-0.0226%17 Oct →
ancient10–130.0035%17 Oct →
ancient9–13-0.0121%17 Oct →
ancient14–16-0.0424%17 Oct →
mirage13–160.0123%16 Oct →
dust212–160.0118%15 Oct →
ancient13–30.0815%15 Oct →
dust213–70.0324%14 Oct →
cache13–50.0518%14 Oct →
nuke13–100.0020%14 Oct →
dust210–130.0030%14 Oct →
ancient8–13-0.0124%14 Oct →
cache13–11-0.0219%14 Oct →
nuke13–160.0121%14 Oct →
inferno7–130.0719%14 Oct →
nuke13–30.1133%13 Oct →
inferno4–130.0624%12 Oct →
mirage13–9-0.0413%12 Oct →
dust213–70.0619%12 Oct →
cache13–16-0.0721%12 Oct →
mirage1–5-0.068%12 Oct →
inferno5–13-0.0614%12 Oct →
inferno13–80.0918%12 Oct →
dust28–13-0.0121%12 Oct →
anubis13–9-0.0418%12 Oct →
dust29–13-0.0317%11 Oct →
mirage13–16-0.0818%11 Oct →
nuke13–2-0.0025%11 Oct →
anubis19–17-0.0517%11 Oct →
cache4–130.0124%11 Oct →
inferno16–12-0.0220%11 Oct →
inferno14–16-0.0237%11 Oct →
inferno13–70.0226%11 Oct →
inferno13–60.0112%9 Oct →
cache13–6-0.0510%9 Oct →
dust212–16-0.0519%9 Oct →
inferno13–6-0.0211%9 Oct →
dust213–60.0619%9 Oct →
cache7–13-0.0013%9 Oct →
ancient15–15-0.0219%9 Oct →
ancient6–13-0.0319%9 Oct →
cache8–13-0.0210%9 Oct →
ancient13–100.0012%8 Oct →
ancient6–13-0.0117%8 Oct →
dust210–13-0.0310%8 Oct →
inferno11–13-0.079%8 Oct →
inferno11–130.0129%6 Oct →
ancient13–10.003%6 Oct →

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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