Dio

Dio — CS2 Stats

76561197966794439[U:1:6528711]Steam profile ↗✓ No bans

1,181Tracked matches33%Win rate2021Tracked since
1,632Hours in CS20Hrs last 2 wks
CSDB Rating5.2 DevelopingHybrid Rifler
Premier CS Rating15,469Purple band · top ~26.5% of ranked players (population est.)
CSDB Leaderboard#31835 of 54443 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate58.1%44.2%47.1%above
Shot accuracy7.0%11.6%12.8%5.8% short
Kill/death ratio1.091.031.08meets
Match win rate43.7%45.2%46.6%2.9% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

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CSDB.GGDioPREMIER15,469 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning44
Utility57

0–100 skill scores via Leetify.

Recent form

COLD46531Last 10046%Win rateLLLWLLLLLW

Last 10 vs previous 10: -10pp win rate · -0.04 avg rating

Player DNA

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

Aim7.6
Aggression5.0
Utility5.7
Positioning4.4
Opening Duels1.6
Clutch2.4

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 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 664ms 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

Aim7.6
Positioning4.4
Utility5.7
Mechanics6.7
Opening Duels2.2
Win Impact0.0

Composite 5.2/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time670ms+9ms
first ⅓ avg 661ms → last ⅓ avg 670ms
Headshot accuracy23.7%+2.7%
first ⅓ avg 21.0% → last ⅓ avg 23.7%

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

0.14Best rating — mirage 13–7
131Biggest win — dust2
7Longest win streak
L3Current streak
612In matches decided by ≤2 rounds
7Overtime games

Map breakdown

trainBest map · 80% over 5overpassWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C23101343%-0.01
infernoA2011955%0.01
mirageA116555%-0.01
cacheC104640%0.02
ancientB105550%-0.02
nukeD103730%-0.00
overpassD72529%-0.01
trainS54180%0.01
anubis41325%-0.04

Across the last 100 tracked matches.

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

Lifetime stats

51,483Lifetime kills
1.09K/D · Top 50% of Purple band
2,250Matches
43.7%Match win rate
58.1%Headshot % · Top 10% of Purple band
7.0%Shot accuracy
4,442MVPs
1,037Hours (in match)
2,912Bombs planted
596Bombs defused

Most-used weapons

Lifetime map wins

7,323dust2
5,021inferno
1,752nuke
389train
136vertigo
22dust
19aztec
9cbble

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

Faceit stats

Combat

704Matches
49%Win rate
0.94Avg K/D
73.0ADR
52%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust222149%0.9814.9
Inferno13156%0.9613.9
Ancient7948%0.8914.2
Mirage7740%0.9015.0
Overpass5956%0.9515.1
Nuke4641%0.8113.9
Anubis3537%0.8814.3
Cache3339%0.9115.8

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.

23.8%Headshot accuracy
34.1%Accuracy (enemy spotted)
43.8%Spray accuracy
80.3%Counter-strafing
9.2°Preaim
664msReaction time
24.8%T opening success
47.9%CT opening success
0.54Enemies flashed / flash
4.0%Flash assists
8.80HE damage / grenade
11.16Flashes / 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

    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 24.7594% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0118%24 Aug
cache6–13-0.0428%8 Aug
cache7–130.0333%3 Aug
inferno13–110.0430%1 Aug
ancient10–13-0.0528%28 Jul
dust211–13-0.0323%26 Jul
anubis6–13-0.0832%25 Jul
dust211–13-0.0324%20 Jul
ancient2–11-0.0814%18 Jul
cache13–60.1127%17 Jul
inferno5–13-0.0121%17 Jul
inferno10–130.0624%17 Jul
dust210–13-0.0122%17 Jul
ancient5–13-0.0510%16 Jul
dust213–70.0621%15 Jul
inferno13–60.1019%14 Jul
cache14–160.0333%13 Jul
dust213–60.0622%13 Jul
ancient8–13-0.0428%12 Jul
dust211–130.0111%12 Jul
cache1–13-0.0317%12 Jul
cache13–10-0.0214%12 Jul
inferno9–130.0222%11 Jul
cache13–50.0737%11 Jul
cache12–16-0.0125%10 Jul
inferno13–8-0.0120%10 Jul
inferno13–60.0321%10 Jul
dust27–13-0.0529%9 Jul
cache11–130.0534%9 Jul
ancient13–70.0514%8 Jul
inferno13–80.0215%8 Jul
inferno13–50.0327%3 Jul
mirage13–70.1440%2 Jul
nuke13–90.0620%14 Jun
inferno13–100.0018%13 Jun
cache13–8-0.0218%2 Jun
nuke15–150.0113%29 May
overpass5–13-0.0323%27 May
overpass9–130.0133%26 May
overpass13–2-0.0113%23 May
dust29–13-0.0524%22 May
anubis13–8-0.037%22 May
mirage10–8-0.046%19 May
anubis10–13-0.0223%19 May
overpass13–160.0128%22 Apr
nuke6–13-0.0628%21 Apr
overpass11–13-0.0022%19 Apr
ancient13–7-0.0521%13 Apr
ancient13–50.0622%8 Apr
inferno13–50.0011%4 Apr
dust211–130.0129%24 Mar
inferno13–40.0121%14 Mar
dust210–13-0.0228%13 Mar
nuke4–13-0.0516%12 Mar
anubis8–13-0.0323%21 Feb
train11–130.0126%10 Jan
train13–10-0.0315%12 Dec
overpass3–13-0.0021%24 Nov
train13–90.0821%29 Oct
inferno11–13-0.0240%23 Oct
nuke10–130.0532%14 Oct
inferno7–130.0015%11 Oct
dust210–13-0.0114%3 Oct
mirage13–4-0.0024%20 Sept
overpass13–10-0.0220%10 Sept
inferno2–13-0.1012%1 Sept
dust216–130.0118%25 Aug
mirage16–130.0515%22 Aug
dust28–13-0.0217%11 Aug
nuke6–13-0.0123%2 Aug
train13–100.0014%19 Jul
dust213–80.0827%18 Jul
nuke13–80.0430%7 Jul
dust217–190.0119%23 Jun
ancient13–70.036%21 Jun
dust213–7-0.0428%18 Jun
mirage5–13-0.0620%18 Jun
ancient13–110.0111%13 Jun
inferno13–110.0421%7 Jun
mirage4–13-0.0425%3 Jun
mirage13–5-0.0319%1 Jun
nuke8–13-0.0444%1 Jun
inferno10–130.0018%31 May
dust213–50.0221%31 May
dust28–13-0.0338%30 May
dust213–110.0117%26 May
inferno7–13-0.0214%20 May
nuke8–130.0129%20 May
mirage7–13-0.089%19 May
ancient11–13-0.0416%17 May
dust213–8-0.0215%16 May
nuke13–11-0.0420%16 May
dust213–100.0118%16 May
train13–5-0.0116%16 May
inferno3–13-0.0636%16 May
inferno13–80.0526%15 May
dust213–1-0.0920%15 May
mirage13–4-0.0424%13 May
mirage11–130.0424%13 May
mirage6–13-0.0712%2 May

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 →