Dani

Dani — CS2 Stats

76561198024698896[U:1:64433168]Steam profile ↗✓ No bans

866Tracked matches45%Win rate2022Tracked since
CSDB Rating5.8 SolidPositional Player
Premier CS Rating19,639Top 50% of 204,219 CSDB-tracked playersPurple band · top ~9.9% of ranked players (population est.)
CSDB Leaderboard#87576 of 251275 tracked
FaceitLevel 8 · 1,722 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Oct 2026 (3 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: 19,639 +1,000 2 Sept – 9 Oct · 15 days played
18,63920,724peak 20,7242 Sept9 Oct
Faceit ELO: 1,722 +0 7 Sept – 13 Sept · 2 observations
1,7221,722peak 1,7227 Sept13 Sept
20,724Peak Premier in tracked matches
1,722Highest Faceit ELO seen on CSDB
35Days played since 2026-07-27

Faceit ELO

  • At peak — 1,722
  • Next: Level 9 at 1,751 — 29 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-07
  • Level 7 first seen 2026-09-07

Premier CS Rating

  • 1,085 below peak (20,724)
  • -461 over 30 days · declining
  • Next: Pink band at 20,000 — 361 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGDaniFACEITLevel 8 · 1,722 ELOSTANDINGTop 31.2% of rankedPREMIER19,639 · Purple bandPEAK ELO1,722csdb.gg/stats

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Performance scores

Aim81
Positioning66
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWLWWLLWTLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +2.7pp headshot accuracy · −2ms 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 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 531ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 534ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 534ms

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 (+2.7 against its own average).

Aim8.1
Utility3.2
Positioning6.6
Opening Duels2.3
Clutch3.4

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 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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. 552ms 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

Aim8.1
Positioning6.6
Utility3.2
Mechanics5.9
Opening Duels4.0
Win Impact3.3

Composite 5.8/10 (Solid), 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+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time551ms+9ms
first ⅓ avg 542ms → last ⅓ avg 551ms
Headshot accuracy18.4%+2.9%
first ⅓ avg 15.6% → last ⅓ avg 18.4%

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

0.21Best match rating · 13–2 · ancient, 20 Aug →
33%Best headshot accuracy · 13–4 · inferno, 2 Sept →
406msFastest reaction time · 3–13 · ancient, 30 Aug →
13–0Biggest win · nuke, 14 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
11–14In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 16mirageWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
anubisA1811–761%0.01
cacheC167–944%0.00
infernoA1610–663%0.00
nukeB147–750%0.02
ancientB126–650%0.03
dust2C94–544%-0.00
mirageC83–538%-0.01
vertigoC52–340%0.01
train—10–10%0.01
shelter—11–0100%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

403Matches
53%Win rate
1.03Avg K/D
73.3ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient8452%0.9914.4
Anubis6048%1.0715.9
Inferno5958%1.0415.0
Dust25155%0.9113.2
Nuke4854%1.0815.6
Cache2955%1.1218.8
Mirage2536%0.9614.7
Overpass2458%1.2216.4

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.

18.7%Headshot accuracy
37.4%Accuracy (enemy spotted)
40.1%Spray accuracy
76.5%Counter-strafing
8.0°Preaim
552msReaction time
48.7%T opening success
43.5%CT opening success
0.57Enemies flashed / flash
4.6%Flash assists
7.57HE damage / grenade
3.98Flashes / 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 3.9763 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–1-0.0118%9 Oct →
ancient10–130.0219%9 Oct →
inferno12–80.0329%9 Oct →
cache13–50.0430%7 Oct →
ancient11–13-0.0423%7 Oct →
mirage3–130.0632%7 Oct →
mirage16–13-0.0221%7 Oct →
dust215–15-0.0211%6 Oct →
cache11–130.0114%5 Oct →
mirage11–13-0.0319%5 Oct →
dust27–13-0.0119%3 Oct →
anubis13–90.0221%2 Oct →
train10–130.0127%2 Oct →
shelter13–110.0324%2 Oct →
anubis13–30.0512%24 Sept →
dust25–13-0.0526%24 Sept →
mirage8–13-0.068%20 Sept →
anubis14–160.0622%20 Sept →
inferno1–13-0.0019%17 Sept →
anubis10–13-0.0412%16 Sept →
cache11–130.0212%14 Sept →
dust213–50.0525%14 Sept →
nuke13–00.0110%14 Sept →
cache6–13-0.0312%13 Sept →
mirage13–70.0017%13 Sept →
nuke10–130.0517%10 Sept →
nuke13–110.0619%10 Sept →
inferno13–90.0713%10 Sept →
inferno5–13-0.0714%9 Sept →
cache13–50.0322%8 Sept →
ancient11–130.0712%8 Sept →
anubis13–60.0319%8 Sept →
inferno0–13-0.0913%8 Sept →
mirage10–13-0.0625%8 Sept →
nuke13–100.0210%7 Sept →
ancient11–13-0.0117%7 Sept →
inferno5–13-0.0219%6 Sept →
anubis3–13-0.0119%6 Sept →
inferno13–6-0.0213%6 Sept →
vertigo4–13-0.0424%5 Sept →
anubis13–100.1119%5 Sept →
nuke12–120.0315%5 Sept →
inferno13–70.0219%5 Sept →
dust213–100.0220%5 Sept →
cache7–13-0.0518%5 Sept →
dust213–90.1129%5 Sept →
inferno8–13-0.0414%5 Sept →
cache10–13-0.0319%3 Sept →
inferno13–100.1314%3 Sept →
nuke13–60.1328%2 Sept →
inferno13–80.0415%2 Sept →
dust216–14-0.0121%2 Sept →
inferno13–40.1233%2 Sept →
cache14–16-0.0021%31 Aug →
mirage5–130.0022%31 Aug →
nuke10–130.0425%30 Aug →
cache15–150.0824%30 Aug →
anubis11–130.0922%30 Aug →
nuke14–16-0.0423%30 Aug →
cache16–14-0.0312%30 Aug →
dust24–13-0.0716%30 Aug →
ancient3–13-0.0129%30 Aug →
anubis13–7-0.0415%26 Aug →
vertigo11–130.0920%26 Aug →
anubis13–8-0.0613%22 Aug →
ancient13–20.2120%20 Aug →
ancient8–13-0.0427%20 Aug →
cache1–13-0.0919%20 Aug →
ancient13–50.1219%20 Aug →
anubis5–130.0411%20 Aug →
vertigo13–90.0318%20 Aug →
cache13–90.0114%15 Aug →
ancient13–110.0113%15 Aug →
ancient16–12-0.018%12 Aug →
cache13–110.0421%12 Aug →
mirage13–100.0216%12 Aug →
anubis6–13-0.0715%10 Aug →
anubis1–13-0.0126%10 Aug →
anubis13–8-0.0115%9 Aug →
cache5–130.0012%9 Aug →
nuke11–13-0.0119%9 Aug →
vertigo11–13-0.0311%9 Aug →
vertigo13–8-0.0211%9 Aug →
nuke13–50.0516%9 Aug →
anubis13–11-0.0511%9 Aug →
inferno5–13-0.1029%8 Aug →
inferno13–11-0.0111%8 Aug →
anubis13–80.1322%5 Aug →
cache13–80.0615%3 Aug →
ancient16–140.0215%2 Aug →
anubis13–100.0618%2 Aug →
anubis13–10-0.0616%2 Aug →
nuke0–13-0.0812%2 Aug →
inferno16–14-0.0212%2 Aug →
ancient13–40.0417%2 Aug →
nuke2–13-0.0712%2 Aug →
nuke13–50.1516%29 Jul →
dust211–13-0.0519%29 Jul →
inferno16–14-0.0210%27 Jul →
nuke16–13-0.0317%27 Jul →

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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