denno

denno — CS2 Stats

76561198026930079[U:1:66664351]Steam profile ↗✓ No bans

1,256Tracked matches59%Win rate2023Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating13,450Blue band · top ~36.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,450 -1,549 8 Jun – 30 Sept · 33 days played
12,49116,429peak 16,4298 Jun30 Sept
16,429Peak Premier in tracked matches
41Days played since 2026-06-08

Premier CS Rating

  • 2,979 below peak (16,429)
  • -447 over 30 days · declining
  • -1,550 over 90 days
  • Next: Purple band at 15,000 — 1,550 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGdennoPREMIER13,450 · Blue bandcsdb.gg/stats

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Performance scores

Aim78
Positioning60
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY47–47–6Last 10047%Win rateLWWWWLLLTW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −3.5pp headshot accuracy · +34ms 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 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 16%
  • Avg reaction 580ms

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 (+1.6 against its own average).

Aim7.8
Utility3.1
Positioning6.0
Opening Duels4.2

Limited utility dependence

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

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

Reaction time. 588ms 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

Aim7.8
Positioning6.0
Utility3.1
Mechanics5.6
Opening Duels4.7
Win Impact7.9

Composite 5.8/10 (Solid), 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 rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time603ms−15ms
first ⅓ avg 618ms → last ⅓ avg 603ms
Headshot accuracy17.6%−0.8%
first ⅓ avg 18.4% → last ⅓ avg 17.6%

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

0.35Best match rating · 9–3 · inferno, 8 Jun →
39%Best headshot accuracy · 9–5 · inferno, 9 Jul →
453msFastest reaction time · 9–13 · ancient, 13 Sept →
13–1Biggest win · nuke, 23 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 58% over 33anubisWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
infernoA3319–1458%0.04
nukeA2514–1156%0.04
ancientC188–1044%0.03
anubisD164–1225%0.02
dust2—30–30%-0.00
overpass—32–167%0.08
mirage—10–10%-0.00
cache—10–10%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.2%Headshot accuracy
41.3%Accuracy (enemy spotted)
44.1%Spray accuracy
75.3%Counter-strafing
10.4°Preaim
588msReaction time
56.2%T opening success
41.7%CT opening success
0.38Enemies flashed / flash
0.0%Flash assists
9.15HE damage / grenade
1.64Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3828 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0613%30 Sept →
nuke13–60.1116%30 Sept →
inferno13–40.0815%29 Sept →
inferno13–70.0417%29 Sept →
anubis13–80.0716%29 Sept →
anubis11–130.0621%28 Sept →
mirage11–13-0.0012%26 Sept →
inferno5–13-0.028%26 Sept →
dust215–150.0414%23 Sept →
ancient13–8-0.0114%23 Sept →
nuke13–100.0221%23 Sept →
nuke13–40.0622%21 Sept →
inferno13–20.1017%21 Sept →
ancient11–130.0820%20 Sept →
inferno7–130.0619%17 Sept →
nuke11–13-0.048%17 Sept →
anubis10–130.0821%16 Sept →
anubis13–3-0.0317%13 Sept →
ancient9–130.0421%13 Sept →
nuke16–130.0516%7 Sept →
ancient13–50.0521%31 Aug →
inferno13–80.0817%24 Aug →
inferno13–9-0.0215%23 Aug →
nuke13–10.0917%23 Aug →
anubis9–13-0.0227%17 Aug →
nuke13–110.0413%17 Aug →
inferno4–9-0.0429%17 Aug →
dust26–130.0233%16 Aug →
nuke13–60.0927%16 Aug →
nuke11–130.057%14 Aug →
ancient13–100.0216%14 Aug →
inferno13–90.035%13 Aug →
inferno13–20.0126%10 Aug →
anubis5–13-0.0515%10 Aug →
ancient0–13-0.0717%10 Aug →
anubis8–130.0610%5 Aug →
inferno13–100.0611%5 Aug →
nuke11–130.0911%5 Aug →
inferno14–16-0.0010%5 Aug →
inferno1–13-0.0327%3 Aug →
anubis13–160.0423%30 Jul →
nuke12–160.023%30 Jul →
ancient5–130.0016%30 Jul →
inferno5–13-0.0220%26 Jul →
anubis7–130.036%26 Jul →
inferno13–40.039%26 Jul →
ancient13–100.0515%26 Jul →
ancient11–130.0612%22 Jul →
anubis9–130.0614%22 Jul →
inferno10–130.0113%22 Jul →
ancient16–13-0.0112%20 Jul →
ancient13–7-0.0110%20 Jul →
inferno13–100.0112%20 Jul →
nuke4–9-0.0612%20 Jul →
anubis13–110.079%18 Jul →
anubis13–50.0516%18 Jul →
nuke13–40.1011%18 Jul →
cache12–120.0413%18 Jul →
nuke13–70.0624%17 Jul →
nuke13–7-0.0022%11 Jul →
nuke10–130.0612%11 Jul →
inferno9–130.0315%10 Jul →
ancient5–130.007%10 Jul →
inferno9–50.0339%9 Jul →
nuke12–120.0614%7 Jul →
inferno9–60.0319%7 Jul →
nuke6–130.0320%7 Jul →
inferno9–40.1325%7 Jul →
inferno8–130.0217%2 Jul →
anubis5–13-0.0212%2 Jul →
nuke15–15-0.0410%27 Jun →
ancient15–150.0316%27 Jun →
inferno13–50.0824%27 Jun →
ancient9–130.0325%27 Jun →
inferno3–9-0.0015%27 Jun →
anubis6–13-0.1013%26 Jun →
anubis11–13-0.0518%26 Jun →
ancient13–110.1020%24 Jun →
anubis10–130.0120%24 Jun →
inferno2–9-0.1113%24 Jun →
nuke13–5-0.0016%23 Jun →
overpass13–80.0410%22 Jun →
nuke13–10.0717%22 Jun →
inferno13–30.0231%22 Jun →
nuke13–80.002%22 Jun →
nuke9–130.0811%22 Jun →
ancient9–130.0521%21 Jun →
nuke8–130.0418%21 Jun →
ancient13–90.0220%21 Jun →
inferno6–90.0529%21 Jun →
inferno9–40.0417%21 Jun →
inferno13–70.0127%20 Jun →
inferno13–70.0811%20 Jun →
inferno8–80.0919%20 Jun →
overpass9–130.0924%10 Jun →
ancient11–130.0118%10 Jun →
overpass13–90.1120%8 Jun →
nuke9–7-0.0114%8 Jun →
inferno5–9-0.0025%8 Jun →
inferno9–30.3530%8 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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