Dongledore

Dongledore — CS2 Stats

GB76561198138531374[U:1:178265646]Steam profile ↗✓ No bans

4,269Tracked matches47%Win rate2020Tracked since
5,346Hours in CS
CSDB Rating5.9 SolidSupport
FaceitLevel 10 · 2,553 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,553 → 2,553
+10Tracked matches · now 4,269
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Faceit ELO: 2,553 +0 20 Sept – 20 Oct · 2 observations
2,5532,553peak 2,55320 Sept20 Oct
2,553Highest Faceit ELO seen on CSDB
54Days played since 2026-05-06

Faceit ELO

  • At peak — 2,553
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 447 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-20
  • Level 10 first seen 2026-09-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches20——
Win rate30%——
K/D0.92——
Headshot %60%——

Measured 20 Oct 2026 → 27 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate50.5%50.9%
Shot accuracy11.2%13.7%
Kill/death ratio1.201.09
Match win rate43.9%48.4%

Share this profile

CSDB.GGDongledoreFACEITLevel 10 · 2,553 ELOSTANDINGTop 12.4% of ranked30 DAYS0 ELOPEAK ELO2,553csdb.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

Aim77
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateWLWWLLWWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −6.8pp headshot accuracy · −65ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 497ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 464ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 497ms

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 (+1.4 against its own average).

Aim7.7
Utility5.9
Positioning5.8
Opening Duels3.0
Clutch3.4

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

CSDB Rating breakdown

Aim7.7
Positioning5.8
Utility5.9
Mechanics5.5
Opening Duels2.6
Win Impact3.9

Composite 5.9/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time509ms−26ms
first ⅓ avg 535ms → last ⅓ avg 509ms
Headshot accuracy21.3%−2.7%
first ⅓ avg 24.0% → last ⅓ avg 21.3%

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

0.22Best match rating · 9–2 · inferno, 4 Jul →
52%Best headshot accuracy · 13–2 · anubis, 18 Aug →
359msFastest reaction time · 13–2 · anubis, 18 Aug →
13–2Biggest win · anubis, 18 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 88% over 8infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
anubisA3219–1359%0.02
nukeB2411–1346%-0.02
ancientS1711–665%-0.00
infernoC146–843%0.00
cacheS87–188%0.01
mirage—20–20%-0.08
overpass—20–20%0.01
vertigo—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

263,801Lifetime kills
1.20K/D · Top 50% of Level 10 players
10,223Matches
43.9%Match win rate
50.5%Headshot %
11.2%Shot accuracy
25,009MVPs
5,346Hours (in match)
13,636Bombs planted
4,161Bombs defused

Most-used weapons

AK-4792,521
AWP33,971
P2505,734
MAC-105,184
MP94,821
Knife4,459

Lifetime map wins

22,752inferno
10,895nuke
6,902dust2
5,855train
2,838vertigo
929cbble
229lake
90safehouse

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

Faceit stats

Combat

3,509Matches
50%Win rate
1.00Avg K/D
75.3ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient58750%0.9614.9
Anubis52252%1.0415.0
Nuke33655%1.0414.3
Inferno25046%0.9914.5
Overpass12445%0.9114.7
Vertigo9947%0.9214.3
Train6250%1.1316.2
Mirage5235%0.8413.5

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.

21.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
40.6%Spray accuracy
74.8%Counter-strafing
10.1°Preaim
506msReaction time
33.2%T opening success
47.4%CT opening success
0.53Enemies flashed / flash
5.9%Flash assists
8.69HE damage / grenade
11.36Flashes / 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 33.1975% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0216%11 Oct →
ancient11–130.0719%11 Oct →
anubis13–110.0117%19 Sept →
ancient13–10-0.0114%6 Sept →
anubis14–16-0.0018%6 Sept →
anubis10–130.0318%4 Sept →
ancient16–130.0321%4 Sept →
ancient13–10-0.0214%2 Sept →
inferno9–13-0.0420%2 Sept →
nuke5–13-0.0220%1 Sept →
mirage4–13-0.0914%1 Sept →
inferno11–13-0.0225%30 Aug →
inferno3–13-0.0424%29 Aug →
anubis4–13-0.0228%28 Aug →
anubis13–5-0.0419%28 Aug →
anubis13–70.0319%28 Aug →
nuke5–13-0.0531%27 Aug →
anubis11–13-0.0134%27 Aug →
anubis19–160.0724%27 Aug →
cache8–130.0328%27 Aug →
cache13–4-0.055%27 Aug →
anubis6–13-0.0021%27 Aug →
cache13–6-0.0226%26 Aug →
anubis13–100.0228%26 Aug →
cache13–110.0928%26 Aug →
nuke10–13-0.0221%25 Aug →
nuke14–160.0326%25 Aug →
anubis19–160.0618%25 Aug →
ancient3–13-0.103%23 Aug →
anubis13–11-0.0225%23 Aug →
anubis11–130.0641%23 Aug →
ancient13–50.0524%22 Aug →
cache13–11-0.0614%22 Aug →
ancient13–8-0.0023%20 Aug →
ancient16–130.0227%19 Aug →
nuke7–13-0.0326%19 Aug →
nuke13–100.0221%18 Aug →
anubis13–20.1152%18 Aug →
nuke13–110.0628%17 Aug →
anubis13–50.0328%17 Aug →
ancient7–13-0.0630%17 Aug →
ancient0–13-0.0917%13 Aug →
nuke7–13-0.0523%11 Aug →
anubis13–70.0822%9 Aug →
anubis13–40.0817%8 Aug →
nuke13–60.0120%8 Aug →
nuke16–14-0.0419%7 Aug →
anubis13–110.0319%7 Aug →
anubis11–130.0430%7 Aug →
nuke8–13-0.0629%4 Aug →
anubis13–100.0133%1 Aug →
nuke10–130.0221%1 Aug →
inferno13–30.0440%1 Aug →
ancient16–140.0122%31 Jul →
anubis13–30.057%31 Jul →
anubis10–130.0035%29 Jul →
inferno13–60.1532%28 Jul →
anubis4–13-0.0426%28 Jul →
cache13–20.0331%28 Jul →
inferno13–9-0.0025%26 Jul →
anubis16–13-0.0115%25 Jul →
nuke13–9-0.0033%23 Jul →
anubis13–60.0122%23 Jul →
nuke13–30.0228%20 Jul →
cache13–70.0246%18 Jul →
nuke3–13-0.0720%18 Jul →
anubis13–110.0719%18 Jul →
anubis13–90.0131%16 Jul →
nuke1–13-0.1125%14 Jul →
ancient10–130.0324%14 Jul →
inferno4–13-0.0331%13 Jul →
cache13–70.0618%12 Jul →
nuke10–13-0.0523%12 Jul →
ancient10–130.0127%12 Jul →
inferno11–130.0122%11 Jul →
nuke6–13-0.0814%9 Jul →
anubis11–130.0422%4 Jul →
ancient13–90.0234%4 Jul →
vertigo9–20.0119%4 Jul →
inferno9–20.2221%4 Jul →
inferno6–9-0.0650%3 Jul →
nuke2–9-0.1329%3 Jul →
inferno0–9-0.140%3 Jul →
anubis13–20.0636%3 Jul →
ancient13–11-0.0220%1 Jul →
inferno9–40.0733%1 Jul →
nuke9–50.0924%1 Jul →
anubis2–13-0.0521%28 Jun →
nuke13–80.0321%27 Jun →
inferno6–13-0.1023%26 Jun →
inferno13–6-0.0019%16 Jun →
nuke13–80.0825%5 Jun →
anubis8–13-0.0417%30 May →
ancient13–80.0416%28 May →
overpass11–130.0120%26 May →
overpass9–130.0242%17 May →
mirage6–13-0.0721%17 May →
nuke13–10-0.0417%14 May →
nuke16–14-0.0327%7 May →
anubis11–130.0518%6 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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