「✔」ђ2o.ŋl

「✔」ђ2o.ŋl — CS2 Stats

NL76561197963291479[U:1:3025751]Steam profile ↗✓ No bans

669Tracked matches41%Win rate2020Tracked since
1,214Hours in CS
CSDB Rating3.2 LearningClutch Specialist
Premier CS Rating5,676Light Blue band · top ~75.6% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (21 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: 5,676 +1,972 13 Apr – 11 Sept · 23 days played
2,8707,168peak 7,16813 Apr11 Sept
7,170Peak Premier in tracked matches
46Days played since 2026-02-23

Premier CS Rating

  • 1,492 below peak (7,168)
  • -1,240 over 30 days · declining
  • +2,751 over 90 days
  • Next: Blue band at 10,000 — 4,324 to go
  • Reached: Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches4——
Win rate25%——
K/D0.80——
Headshot %39%——

Measured 7 Sep 2026 → 2 Oct 2026; no observation near 60 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate39.9%39.9%42.0%2.0% short
Shot accuracy16.9%7.0%9.6%above
Kill/death ratio1.000.920.98meets
Match win rate40.3%42.3%43.8%3.5% short

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG「✔」ђ2o.ŋlPREMIER5,676 · Light Blue 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

Aim31
Positioning39
Utility48

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateLTWLLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · −6ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 703ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 689ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 692ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.8 against its own average).

Aim3.1
Utility4.8
Positioning3.9
Opening Duels2.1
Clutch6.0

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

jL

Plays most like jL 70% 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 →

Strengths & areas to improve

Areas to improve

Reaction time. 714ms 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

Aim3.1
Positioning3.9
Utility4.8
Mechanics5.0
Opening Duels1.4
Win Impact2.1

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time708ms−22ms
first ⅓ avg 730ms → last ⅓ avg 708ms
Headshot accuracy14.9%−0.2%
first ⅓ avg 15.1% → last ⅓ avg 14.9%

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 · 9–1 · poseidon, 16 Mar →
33%Best headshot accuracy · 9–1 · poseidon, 16 Mar →
531msFastest reaction time · 13–11 · inferno, 24 Aug →
13–2Biggest win · dust2, 1 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 57% over 14ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2512–1348%-0.04
dust2D184–1422%-0.05
mirageA148–657%-0.02
ancientD102–820%-0.06
anubisD93–633%-0.04
nukeB84–450%-0.07
cacheC73–443%-0.02
overpass—41–325%-0.04
vertigo—21–150%-0.04
poseidon—21–150%0.13
debris—10–10%-0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,121Lifetime kills
1.00K/D · Top 50% of Light Blue band
3,059Matches
40.3%Match win rate
39.9%Headshot % · Top 50% of Light Blue band
16.9%Shot accuracy · Top 10% of Light Blue band
6,278MVPs
1,214Hours (in match)
2,903Bombs planted
468Bombs defused

Most-used weapons

AK-4710,333
AWP9,243
P901,783
SSG 081,696
AUG1,130

Lifetime map wins

8,142dust2
4,683inferno
2,100nuke
931office
599cbble
397vertigo
389train
151lake

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

Faceit stats

Combat

27Matches
33%Win rate
0.63Avg K/D
66.6ADR
40%Headshot %

Clutches & streaks

50%1v1 clutch win
33%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage425%0.8011.8
Dust2450%0.8114.0
Inferno333%0.599.7
Overpass1100%0.5310.0
Nuke10%0.6213.0
Ancient1100%0.8612.0

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.

14.7%Headshot accuracy
29.5%Accuracy (enemy spotted)
28.0%Spray accuracy
72.3%Counter-strafing
10.5°Preaim
714msReaction time
28.5%T opening success
41.0%CT opening success
0.50Enemies flashed / flash
3.0%Flash assists
8.96HE damage / grenade
8.35Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6586% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 713.8185ms — above the 700ms mark we flag

    Aim Training →
  3. 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 28.4912% — below the 40% mark we flag

Spend your practice time on Ancient

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 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–130.0511%11 Sept →
nuke15–15-0.0412%8 Sept →
dust213–8-0.029%8 Sept →
dust27–130.0120%4 Sept →
inferno7–13-0.0715%3 Sept →
mirage4–13-0.0113%1 Sept →
dust213–8-0.045%1 Sept →
dust214–16-0.0517%31 Aug →
inferno13–8-0.0311%30 Aug →
anubis4–13-0.0715%30 Aug →
dust21–13-0.097%27 Aug →
inferno11–13-0.0514%27 Aug →
mirage13–8-0.0216%27 Aug →
inferno9–13-0.0511%25 Aug →
nuke13–3-0.0319%24 Aug →
mirage2–13-0.079%24 Aug →
inferno13–11-0.0418%24 Aug →
anubis8–13-0.0811%24 Aug →
dust22–13-0.0428%21 Aug →
anubis13–10-0.0423%20 Aug →
nuke13–8-0.1019%17 Aug →
ancient13–6-0.037%16 Aug →
inferno13–10-0.0616%13 Aug →
anubis7–130.0024%13 Aug →
dust22–13-0.137%11 Aug →
dust24–13-0.0719%10 Aug →
inferno13–11-0.0514%10 Aug →
mirage13–10-0.0521%10 Aug →
anubis14–16-0.0117%9 Aug →
cache11–130.019%9 Aug →
inferno6–13-0.0730%6 Aug →
ancient9–13-0.099%5 Aug →
cache10–13-0.0216%5 Aug →
dust27–13-0.0327%4 Aug →
nuke16–14-0.099%4 Aug →
inferno6–13-0.0417%4 Aug →
cache13–10-0.0227%4 Aug →
anubis4–13-0.114%3 Aug →
cache15–15-0.0924%3 Aug →
debris1–9-0.1711%3 Aug →
dust213–10-0.0114%2 Aug →
dust210–13-0.048%2 Aug →
anubis13–7-0.0312%2 Aug →
mirage13–100.0416%2 Aug →
mirage9–13-0.0915%1 Aug →
mirage13–80.006%1 Aug →
dust29–13-0.057%1 Aug →
dust26–13-0.0316%1 Aug →
inferno5–9-0.0310%1 Aug →
mirage13–4-0.0118%31 Jul →
cache13–70.0516%9 Jul →
mirage13–100.0222%9 Jul →
inferno10–13-0.0512%6 Jul →
inferno10–7-0.0516%6 Jul →
cache7–13-0.0214%6 Jul →
mirage13–60.008%4 Jul →
inferno9–5-0.046%4 Jul →
inferno8–13-0.0512%3 Jul →
dust22–13-0.0716%3 Jul →
inferno13–9-0.0613%3 Jul →
vertigo0–9-0.0818%2 Jul →
dust215–15-0.0518%29 Jun →
cache13–6-0.0813%24 Jun →
overpass6–9-0.045%24 Jun →
vertigo9–40.009%24 Jun →
inferno9–6-0.0927%24 Jun →
ancient8–13-0.0313%22 Jun →
inferno15–15-0.0110%22 Jun →
dust29–13-0.0314%15 Jun →
nuke6–13-0.078%15 Jun →
inferno9–10.1518%15 Jun →
ancient5–13-0.0614%10 Jun →
overpass9–13-0.075%10 Jun →
ancient1–13-0.0819%8 Jun →
mirage15–15-0.0321%8 Jun →
nuke8–13-0.0623%1 Jun →
dust213–2-0.0132%1 Jun →
inferno13–7-0.0411%1 Jun →
inferno13–7-0.0219%1 Jun →
ancient11–13-0.0511%26 May →
inferno1–13-0.0729%26 May →
anubis6–13-0.032%18 Apr →
inferno1–13-0.0823%18 Apr →
ancient5–13-0.0816%18 Apr →
mirage16–14-0.0214%13 Apr →
ancient15–15-0.0514%23 Mar →
nuke13–16-0.065%23 Mar →
overpass13–9-0.0310%23 Mar →
ancient9–13-0.0513%16 Mar →
mirage11–13-0.057%16 Mar →
poseidon9–10.3533%16 Mar →
ancient13–6-0.0610%2 Mar →
inferno13–7-0.0221%2 Mar →
mirage14–16-0.0112%2 Mar →
anubis13–11-0.0210%2 Mar →
poseidon5–9-0.0927%27 Feb →
inferno5–9-0.0311%27 Feb →
nuke9–5-0.1215%26 Feb →
overpass14–16-0.0412%23 Feb →
dust27–13-0.1011%23 Feb →

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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