dLøng

dLøng — CS2 Stats

76561197963654491[U:1:3388763]Steam profile ↗✓ No bans

740Tracked matches50%Win rate2020Tracked since
2,456Hours in CS7Hrs last 2 wks
CSDB Rating6.5 SolidPositional Player
Premier CS Rating19,611Top 50% of 211,494 CSDB-tracked playersPurple band · top ~10% of ranked players (population est.)
CSDB Leaderboard#90905 of 258682 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (16 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: 19,611 -1,594 11 Aug – 14 Oct · 31 days played
19,48923,574peak 23,57411 Aug14 Oct
23,627Peak Premier in tracked matches
40Days played since 2026-08-11

Premier CS Rating

  • 3,963 below peak (23,574)
  • -2,702 over 30 days · declining
  • Next: Pink band at 20,000 — 389 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-08
  • Purple band first seen 2026-09-08

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate52.6%43.8%44.8%above
Shot accuracy15.9%12.0%12.4%above
Kill/death ratio1.341.021.03above
Match win rate50.2%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGdLøngFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,611 · 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

Aim67
Positioning67
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY42–52–6Last 10042%Win rateWWWWLTLWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · +31ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 625ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 612ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 597ms

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 against its own average).

Aim6.7
Utility6.3
Positioning6.7
Opening Duels5.1
Clutch4.6

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 82% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 590ms 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

Aim6.7
Positioning6.7
Utility6.3
Mechanics6.7
Opening Duels7.0
Win Impact5.0

Composite 6.5/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time585ms−18ms
first ⅓ avg 603ms → last ⅓ avg 585ms
Headshot accuracy28.0%+1.8%
first ⅓ avg 26.2% → last ⅓ avg 28.0%

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

0.13Best match rating · 9–13 · ancient, 7 Oct →
43%Best headshot accuracy · 13–5 · nuke, 3 Oct →
406msFastest reaction time · 0–13 · vertigo, 27 Aug →
13–2Biggest win · dust2, 13 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 63% over 8trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D217–1433%-0.01
nukeC156–940%0.02
infernoA148–657%0.01
ancientD144–1029%0.00
mirageB126–650%-0.01
cacheA85–363%-0.00
anubisC73–443%-0.01
trainD51–420%0.03
vertigo—31–233%-0.01
overpass—11–0100%0.11

Across the last 100 tracked matches.

Lifetime stats

82,110Lifetime kills
1.34K/D · Top 10% of Level 5 players
3,073Matches
50.2%Match win rate · Top 25% of Level 5 players
52.6%Headshot % · Top 25% of Level 5 players
15.9%Shot accuracy · Top 25% of Level 5 players
10,861MVPs
1,449Hours (in match)
3,029Bombs planted
971Bombs defused

Most-used weapons

AK-4730,183
AWP6,459
MAC-101,702
SG 5531,617
MP71,055
FAMAS1,037

Lifetime map wins

10,760dust2
6,148inferno
2,520nuke
2,473train
565vertigo
408cbble
85office
30italy

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

Faceit stats

Combat

60Matches
55%Win rate
1.40Avg K/D
105.6ADR
61%Headshot %

Clutches & streaks

43%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage967%1.5821.1
Inferno956%1.5423.0
Nuke743%1.2322.0
Dust2771%1.5820.1
Ancient540%1.2419.6
Vertigo10%0.8917.0
Cache10%1.3822.0
Anubis1100%2.0022.0

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.

28.1%Headshot accuracy
30.8%Accuracy (enemy spotted)
31.1%Spray accuracy
80.1%Counter-strafing
11.5°Preaim
590msReaction time
64.7%T opening success
51.1%CT opening success
0.67Enemies flashed / flash
11.3%Flash assists
8.21HE damage / grenade
13.63Flashes / match

Recommended for you

Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0219%23 Oct →
dust213–8-0.0016%23 Oct →
vertigo13–10-0.0320%23 Oct →
inferno13–6-0.0621%23 Oct →
dust27–130.0121%16 Oct →
train12–120.0829%16 Oct →
train9–13-0.0135%15 Oct →
cache13–40.0640%15 Oct →
anubis5–13-0.0521%14 Oct →
mirage13–7-0.0325%14 Oct →
train12–12-0.0128%11 Oct →
dust212–120.0427%11 Oct →
nuke8–13-0.0224%11 Oct →
dust27–130.0630%11 Oct →
dust20–13-0.0720%10 Oct →
train13–60.1032%9 Oct →
nuke22–200.0126%9 Oct →
dust28–13-0.0032%8 Oct →
cache16–130.0524%8 Oct →
ancient9–130.0132%8 Oct →
mirage5–130.0141%7 Oct →
inferno14–16-0.0019%7 Oct →
ancient9–130.1331%7 Oct →
mirage13–16-0.0129%7 Oct →
nuke2–13-0.0017%6 Oct →
nuke12–120.0835%6 Oct →
overpass13–40.1133%6 Oct →
nuke13–8-0.0339%3 Oct →
nuke13–50.0843%3 Oct →
cache13–90.0839%3 Oct →
mirage13–110.0428%2 Oct →
dust210–130.0231%30 Sept →
cache13–6-0.0117%30 Sept →
anubis11–13-0.0422%30 Sept →
anubis13–110.0031%29 Sept →
inferno13–70.0739%28 Sept →
dust213–70.0434%27 Sept →
train6–13-0.0041%27 Sept →
dust211–130.0038%25 Sept →
ancient9–130.0415%25 Sept →
dust213–80.0018%25 Sept →
dust210–130.0229%24 Sept →
anubis5–13-0.0331%24 Sept →
inferno13–4-0.0323%24 Sept →
mirage11–13-0.0812%24 Sept →
anubis13–40.0013%24 Sept →
inferno13–11-0.0336%23 Sept →
vertigo5–130.0441%23 Sept →
inferno6–13-0.0335%23 Sept →
dust27–13-0.0731%23 Sept →
mirage6–130.0319%23 Sept →
anubis10–130.0116%23 Sept →
nuke8–13-0.0226%23 Sept →
ancient7–13-0.0126%22 Sept →
nuke13–6-0.0036%22 Sept →
inferno13–90.0229%22 Sept →
inferno13–110.0619%18 Sept →
nuke8–130.0839%18 Sept →
cache9–13-0.0812%18 Sept →
inferno4–130.0223%17 Sept →
mirage8–13-0.0924%17 Sept →
mirage13–5-0.0322%17 Sept →
nuke12–160.0027%17 Sept →
nuke13–90.0225%16 Sept →
dust27–1-0.0125%15 Sept →
dust25–13-0.0426%14 Sept →
ancient13–50.0226%14 Sept →
mirage13–50.0839%14 Sept →
nuke8–130.0719%12 Sept →
dust20–11-0.0427%12 Sept →
ancient7–13-0.0521%4 Sept →
nuke7–13-0.0115%3 Sept →
inferno13–90.0633%3 Sept →
mirage11–30.0938%1 Sept →
dust26–13-0.0325%1 Sept →
ancient13–7-0.0316%1 Sept →
ancient16–13-0.0327%31 Aug →
mirage8–13-0.0629%28 Aug →
inferno2–130.0135%28 Aug →
dust213–11-0.0227%27 Aug →
inferno1–13-0.0226%27 Aug →
ancient4–130.0432%27 Aug →
vertigo0–13-0.0330%27 Aug →
cache4–13-0.0322%27 Aug →
inferno3–130.0434%27 Aug →
ancient16–14-0.0423%27 Aug →
ancient8–130.0221%26 Aug →
ancient9–13-0.0532%26 Aug →
ancient8–13-0.0519%25 Aug →
dust211–13-0.0418%25 Aug →
dust215–15-0.0223%24 Aug →
nuke13–40.0034%24 Aug →
dust213–110.0722%18 Aug →
inferno13–90.0129%18 Aug →
cache13–110.0222%17 Aug →
ancient11–130.0115%17 Aug →
nuke15–15-0.0422%13 Aug →
dust213–2-0.0335%13 Aug →
mirage13–8-0.0236%12 Aug →
cache6–13-0.1114%11 Aug →

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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