Dalezilla

Dalezilla — CS2 Stats

NO76561198373919628[U:1:413653900]Steam profile ↗✓ No bans

2,030Tracked matches53%Win rate2020Tracked since
2,424Hours in CS17Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating21,161Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.2% of ranked players (population est.)
CSDB Leaderboard#67967 of 260020 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 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: 21,161 -606 27 Apr – 28 Oct · 17 days played
19,67021,939peak 21,93927 Apr28 Oct
21,939Peak Premier in tracked matches
46Days played since 2026-04-23

Premier CS Rating

  • 778 below peak (21,939)
  • -752 over 30 days · declining
  • Next: Red band at 25,000 — 3,839 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate41.2%48.2%50.9%9.8% short
Shot accuracy10.0%13.2%13.7%3.7% short
Kill/death ratio1.061.071.090.03 short
Match win rate45.7%46.9%48.4%2.7% short

This profile sits below the typical Level 10 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDalezillaFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER21,161 · Pink 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

Aim71
Positioning58
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWWWLWLLLLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +2.1pp headshot accuracy · −74ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 450ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 457ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 494ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.1
Utility6.7
Positioning5.8
Opening Duels3.3
Clutch4.0

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 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.1
Positioning5.8
Utility6.7
Mechanics5.4
Opening Duels4.4
Win Impact6.1

Composite 6.3/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time491ms−50ms
first ⅓ avg 541ms → last ⅓ avg 491ms
Headshot accuracy17.6%−0.4%
first ⅓ avg 18.1% → 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

0.16Best match rating · 11–13 · cache, 17 Oct →
40%Best headshot accuracy · 0–7 · inferno, 20 Sept →
359msFastest reaction time · 6–13 · inferno, 21 Sept →
13–0Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 64% over 11dust2Weakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2817–1161%0.02
mirageB2412–1250%0.02
ancientB147–750%0.01
anubisA117–464%0.03
cacheB105–550%0.02
dust2D70–70%-0.02
nukeD61–517%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

60,406Lifetime kills
1.06K/D
3,456Matches
45.7%Match win rate
41.2%Headshot %
10.0%Shot accuracy
7,823MVPs
1,418Hours (in match)
5,434Bombs planted
1,131Bombs defused

Most-used weapons

AK-4720,245
AWP2,875
XM10142,461
MP92,123
MAC-102,055
FAMAS1,797
MP71,557

Lifetime map wins

9,306inferno
1,942dust2
1,751nuke
1,356vertigo
952train
860lake
271office
91italy

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

Faceit stats

Combat

790Matches
51%Win rate
1.16Avg K/D
82.8ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage17145%1.0716.0
Inferno11768%1.3118.0
Anubis8643%1.1717.4
Ancient7758%1.1417.4
Dust24042%1.0516.0
Nuke2646%0.9414.5
Cache2245%1.0115.3
Vertigo1942%1.1616.3

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.

17.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
40.3%Spray accuracy
74.3%Counter-strafing
11.1°Preaim
493msReaction time
46.6%T opening success
48.5%CT opening success
0.61Enemies flashed / flash
12.6%Flash assists
12.41HE damage / grenade
7.60Flashes / match

Recommended for you

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.

0% win rate across 7 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
mirage13–110.0416%31 Oct →
inferno22–180.0725%31 Oct →
mirage13–70.0921%28 Oct →
dust22–13-0.0725%28 Oct →
inferno13–100.0320%25 Oct →
mirage5–13-0.1110%22 Oct →
nuke11–130.0832%21 Oct →
ancient13–16-0.0322%19 Oct →
cache11–130.1615%17 Oct →
anubis13–160.0210%14 Oct →
ancient13–100.0220%14 Oct →
mirage13–110.0218%12 Oct →
inferno13–40.0933%6 Oct →
mirage19–220.0519%5 Oct →
anubis4–13-0.0518%5 Oct →
inferno5–13-0.037%5 Oct →
inferno13–70.0219%3 Oct →
inferno13–60.0418%30 Sept →
cache10–13-0.057%30 Sept →
dust25–13-0.0415%30 Sept →
inferno13–100.047%26 Sept →
anubis13–90.0916%24 Sept →
inferno13–110.0511%24 Sept →
anubis13–90.0619%21 Sept →
inferno6–130.0117%21 Sept →
nuke13–60.0217%21 Sept →
nuke1–13-0.047%20 Sept →
mirage13–00.0919%20 Sept →
mirage13–70.0315%20 Sept →
inferno0–7-0.0640%20 Sept →
ancient13–20.0720%19 Sept →
mirage9–13-0.0416%19 Sept →
inferno13–10-0.0211%19 Sept →
cache5–13-0.0712%18 Sept →
ancient13–90.0720%18 Sept →
anubis13–100.0411%18 Sept →
ancient7–13-0.0419%16 Sept →
cache13–30.0818%16 Sept →
mirage13–40.0126%16 Sept →
cache10–13-0.0011%14 Sept →
inferno13–90.0613%14 Sept →
mirage13–80.0618%14 Sept →
anubis13–6-0.028%14 Sept →
mirage7–0-0.0133%14 Sept →
inferno11–13-0.0110%14 Sept →
mirage4–13-0.0415%12 Sept →
inferno10–130.0110%12 Sept →
mirage10–130.0224%12 Sept →
cache13–20.0017%12 Sept →
mirage13–80.0216%12 Sept →
nuke7–13-0.006%9 Sept →
mirage5–13-0.0414%9 Sept →
inferno13–20.0122%9 Sept →
anubis16–140.0122%6 Sept →
dust215–150.0023%6 Sept →
mirage13–6-0.0112%6 Sept →
anubis10–130.0312%6 Sept →
ancient7–13-0.0718%12 Aug →
cache16–140.0317%12 Aug →
ancient13–8-0.028%12 Aug →
cache13–50.1117%10 Aug →
inferno13–100.0320%10 Aug →
mirage14–16-0.0121%10 Aug →
anubis13–50.047%10 Aug →
ancient9–13-0.0326%5 Aug →
inferno13–8-0.0127%5 Aug →
ancient8–13-0.034%5 Aug →
mirage10–130.0817%4 Aug →
inferno16–130.0121%4 Aug →
dust214–16-0.0325%29 Jul →
mirage4–13-0.0116%28 Jul →
anubis13–30.0813%28 Jul →
anubis6–130.0412%18 Jul →
inferno13–80.0218%18 Jul →
inferno11–13-0.0225%2 Jul →
mirage1–130.0116%2 Jul →
ancient13–90.0815%2 Jul →
nuke9–130.0225%25 Jun →
ancient13–9-0.0520%23 Jun →
inferno13–70.0219%22 Jun →
inferno5–13-0.0919%22 Jun →
inferno13–90.0618%9 Jun →
dust213–16-0.0522%8 Jun →
mirage13–100.1012%5 Jun →
ancient9–130.0912%5 Jun →
dust210–130.0632%19 May →
ancient13–100.0218%10 May →
mirage16–130.0623%10 May →
inferno6–130.0424%6 May →
mirage6–13-0.045%4 May →
inferno13–50.0915%30 Apr →
cache10–13-0.0215%30 Apr →
nuke11–13-0.0015%30 Apr →
inferno15–15-0.0215%27 Apr →
inferno4–13-0.0224%24 Apr →
dust25–13-0.0417%24 Apr →
ancient10–13-0.0126%24 Apr →
inferno9–130.0314%24 Apr →
mirage10–130.0115%23 Apr →
cache19–150.0213%23 Apr →

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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