Ander Dingus

Ander Dingus — CS2 Stats

AU76561198317490231[U:1:357224503]Steam profile ↗✓ No bans

655Tracked matches50%Win rate2023Tracked since
1,194Hours in CS0Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating19,520Top 50% of 213,399 CSDB-tracked playersPurple band · top ~10.4% of ranked players (population est.)
CSDB Leaderboard#92843 of 260013 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 655 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,520 +7,859 8 Jan – 21 Sept · 19 days played
11,66120,122peak 20,1228 Jan21 Sept
20,122Peak Premier in tracked matches
48Days played since 2026-01-08

Premier CS Rating

  • 602 below peak (20,122)
  • Next: Pink band at 20,000 — 480 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-21
  • Blue band first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 rate45.6%44.4%46.9%1.3% short
Shot accuracy4.5%11.9%13.0%8.5% short
Kill/death ratio1.201.031.08above
Match win rate35.8%45.2%46.7%10.9% short

This profile matches the typical Pink band player on 1 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.

Share this profile

CSDB.GGAnder DingusPREMIER19,520 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim62
Positioning53
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLLWWWLWLLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.3pp headshot accuracy · +52ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 614ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 632ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 606ms

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 (+1.2 against its own average).

Aim6.2
Utility5.1
Positioning5.3
Opening Duels1.8

Strong T-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.

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

iM

Plays most like iM 88% playstyle similarity

Most alike: utility contribution, 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. 605ms 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

Aim6.2
Positioning5.3
Utility5.1
Mechanics7.3
Opening Duels0.8
Win Impact5.0

Composite 5.4/10 (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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time609ms−10ms
first ⅓ avg 619ms → last ⅓ avg 609ms
Headshot accuracy16.2%+0.8%
first ⅓ avg 15.5% → last ⅓ avg 16.2%

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.

Personal bests

0.17Best match rating · 13–2 · mirage, 3 Feb →
30%Best headshot accuracy · 13–7 · mirage, 8 Mar →
422msFastest reaction time · 13–4 · mirage, 15 Feb →
13–1Biggest win · inferno, 6 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
3–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 91% over 11dust2Weakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
mirageA2918–1162%0.04
dust2C187–1139%0.02
ancientB158–753%0.03
nukeB157–847%0.02
infernoS1110–191%0.04
cacheC52–340%0.01
overpass—22–0100%0.00
train—20–20%0.02
stronghold—10–10%-0.04
warden—10–10%-0.02
vertigo—11–0100%0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,477Lifetime kills
1.20K/D · Top 25% of Purple band
1,600Matches
35.8%Match win rate
45.6%Headshot % · Top 50% of Purple band
4.5%Shot accuracy
2,809MVPs
657Hours (in match)
1,145Bombs planted
275Bombs defused

Most-used weapons

Lifetime map wins

2,237dust2
1,618nuke
1,557inferno
537vertigo
318train
52office
25italy
9cbble

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.

16.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.7%Spray accuracy
82.6%Counter-strafing
10.9°Preaim
605msReaction time
36.6%T opening success
29.5%CT opening success
0.63Enemies flashed / flash
10.0%Flash assists
7.71HE damage / grenade
6.43Flashes / 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 36.6117% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient7–130.0021%14 Jul →
mirage6–13-0.0219%29 Jun →
dust213–60.0715%29 Jun →
mirage13–20.0722%6 Jun →
dust213–9-0.0316%6 Jun →
nuke3–13-0.097%6 Jun →
cache13–7-0.0111%6 Jun →
cache5–130.0018%4 Jun →
dust25–130.0418%4 Jun →
mirage13–90.0610%25 May →
dust210–13-0.0513%23 May →
nuke7–130.019%16 May →
mirage13–100.0219%10 May →
cache6–13-0.0016%9 May →
mirage10–13-0.0519%9 May →
cache13–60.0921%9 May →
overpass13–9-0.0216%7 May →
ancient9–130.058%7 May →
nuke11–130.0426%1 May →
mirage13–70.1011%29 Apr →
cache5–13-0.047%29 Apr →
mirage8–13-0.0313%27 Apr →
ancient13–40.0221%27 Apr →
nuke13–80.0818%27 Apr →
mirage3–130.0719%27 Apr →
dust29–130.0815%27 Apr →
dust213–8-0.0122%27 Apr →
mirage13–80.0415%25 Apr →
dust213–100.0119%24 Apr →
mirage13–80.1321%24 Apr →
inferno13–30.1022%24 Apr →
ancient13–80.1513%24 Apr →
train9–13-0.0216%19 Apr →
nuke12–10.1420%19 Apr →
ancient8–110.0214%17 Apr →
mirage4–130.0116%16 Apr →
inferno13–6-0.055%3 Apr →
nuke12–160.0210%3 Apr →
dust29–13-0.054%3 Apr →
nuke6–130.0315%28 Mar →
dust213–30.0916%28 Mar →
dust29–130.0520%27 Mar →
nuke13–100.0113%27 Mar →
ancient9–13-0.0417%24 Mar →
mirage4–13-0.0518%21 Mar →
inferno9–50.0323%21 Mar →
inferno13–60.0915%18 Mar →
mirage13–70.0430%8 Mar →
nuke11–13-0.0218%8 Mar →
ancient6–0-0.0025%8 Mar →
ancient9–130.0122%7 Mar →
nuke13–80.0322%6 Mar →
train6–130.0524%6 Mar →
mirage12–120.1216%5 Mar →
dust210–130.1015%26 Feb →
mirage13–80.0720%17 Feb →
dust213–30.0915%16 Feb →
mirage13–3-0.0012%15 Feb →
mirage9–13-0.0510%15 Feb →
mirage13–11-0.0217%15 Feb →
mirage13–40.0517%15 Feb →
mirage13–40.1217%14 Feb →
inferno13–90.1213%14 Feb →
dust213–70.0129%13 Feb →
ancient6–13-0.0212%13 Feb →
nuke13–60.108%13 Feb →
dust210–13-0.049%13 Feb →
ancient13–2-0.0614%13 Feb →
ancient13–80.0114%13 Feb →
mirage13–90.0625%12 Feb →
nuke14–16-0.0215%7 Feb →
mirage13–80.1018%7 Feb →
inferno13–3-0.047%7 Feb →
inferno13–1-0.0417%6 Feb →
inferno13–100.0819%6 Feb →
mirage13–60.0716%6 Feb →
dust26–13-0.0115%6 Feb →
inferno16–130.1014%5 Feb →
ancient13–6-0.0212%5 Feb →
ancient13–40.1413%4 Feb →
mirage13–20.1720%3 Feb →
mirage13–6-0.049%26 Jan →
nuke13–11-0.0114%25 Jan →
ancient13–30.0711%25 Jan →
dust23–12-0.0114%25 Jan →
ancient8–130.0620%25 Jan →
mirage1–13-0.019%25 Jan →
stronghold0–3-0.0429%22 Jan →
warden3–13-0.0211%22 Jan →
dust212–120.0616%22 Jan →
mirage13–80.0419%22 Jan →
dust29–130.0217%17 Jan →
mirage6–130.0220%17 Jan →
inferno13–110.0111%17 Jan →
nuke8–130.0115%17 Jan →
mirage9–130.0112%12 Jan →
nuke13–30.0323%12 Jan →
vertigo13–50.0915%10 Jan →
inferno3–13-0.0116%9 Jan →
overpass13–90.0313%8 Jan →

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 →

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