Denyol

Denyol — CS2 Stats

HU76561198147671975[U:1:187406247]Steam profile ↗✓ No bans

1,051Tracked matches64%Win rate2020Tracked since
3,218Hours in CS28Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 5 · 858 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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: 15,000 -219 16 Sept – 11 Nov · 12 days played
14,89815,231peak 15,23116 Sept11 Nov
15,535Peak Premier in tracked matches
858Highest Faceit ELO seen on CSDB
30Days played since 2026-09-16

Faceit ELO

  • At peak — 858
  • Next: Level 4 at 901 — 43 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-09-16
  • Level 2 first seen 2026-09-16

Premier CS Rating

  • 231 below peak (15,231)
  • -108 over 30 days · steady
  • Next: Pink band at 20,000 — 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-16
  • Blue band first seen 2026-09-16

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,631), 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 rate37.9%43.8%44.8%6.9% short
Shot accuracy14.3%12.0%12.4%above
Kill/death ratio1.021.021.03meets
Match win rate40.4%44.7%45.2%4.8% short

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDenyolFACEITLevel 5 · 858 ELOSTANDINGTop 67.6% of rankedPREMIER15,000 · Purple bandPEAK ELO858csdb.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

Aim51
Positioning69
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY54–43–3Last 10054%Win rateLTLWWLLWWW

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −2.0pp headshot accuracy · +8ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 11%
  • Avg reaction 594ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 10%
  • Avg reaction 575ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 11%
  • Avg reaction 571ms

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 (+1.5 against its own average).

Aim5.1
Utility5.2
Positioning6.9
Opening Duels4.7
Clutch4.8

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 77% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 46% on CT — first contacts on the defending side are being lost.

Reaction time. 575ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.1
Positioning6.9
Utility5.2
Mechanics4.1
Opening Duels6.5
Win Impact9.8

Composite 5.9/10 (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 time565ms−1ms
first ⅓ avg 567ms → last ⅓ avg 565ms
Headshot accuracy10.6%−3.1%
first ⅓ avg 13.6% → last ⅓ avg 10.6%

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

0.17Best match rating · 13–3 · inferno, 2 Nov →
39%Best headshot accuracy · 5–13 · vertigo, 11 Oct →
359msFastest reaction time · 0–4 · inferno, 1 Nov →
13–1Biggest win · inferno, 11 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 71% over 21mirageWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
infernoS2115–671%0.03
cacheB168–850%0.00
anubisB168–850%0.02
mirageC94–544%0.01
ancientC94–544%-0.02
dust2A74–357%-0.03
officeS75–271%0.03
overpass—42–250%-0.01
vertigo—31–233%-0.02
nuke—32–167%-0.04
rush_001—30–30%-0.01
italy—21–150%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,623Lifetime kills
1.02K/D · Top 50% of Level 5 players
5,074Matches
40.4%Match win rate
37.9%Headshot %
14.3%Shot accuracy · Top 50% of Level 5 players
10,105MVPs
1,736Hours (in match)
4,201Bombs planted
957Bombs defused

Most-used weapons

AK-4718,703
AWP7,416
SSG 082,700
M2492,372
FAMAS1,973

Lifetime map wins

7,551inferno
5,984dust2
2,351nuke
1,640office
1,155train
633vertigo
457cbble
384italy

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

Faceit stats

Combat

264Matches
50%Win rate
1.15Avg K/D
87.5ADR
37%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis5450%1.0716.7
Inferno5062%1.3617.6
Ancient3746%1.0615.2
Nuke3259%1.4417.4
Dust21942%1.2016.7
Mirage1060%1.0916.2
Cache1060%1.1615.8
Overpass540%1.3219.4

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.

10.5%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.5%Spray accuracy
68.4%Counter-strafing
10.4°Preaim
575msReaction time
65.6%T opening success
46.4%CT opening success
0.47Enemies flashed / flash
10.7%Flash assists
8.95HE damage / grenade
7.32Flashes / 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 10.4532% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4683 — below the 0.5 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.

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0511%11 Nov →
cache15–15-0.0410%11 Nov →
mirage6–13-0.018%11 Nov →
inferno13–10.1213%11 Nov →
cache13–11-0.0516%11 Nov →
vertigo6–130.007%10 Nov →
inferno11–130.074%10 Nov →
overpass13–60.056%10 Nov →
cache13–20.088%10 Nov →
inferno13–11-0.0114%10 Nov →
inferno9–00.1617%9 Nov →
ancient13–11-0.0211%9 Nov →
inferno13–90.017%8 Nov →
dust25–13-0.0613%8 Nov →
inferno15–150.0016%8 Nov →
anubis16–140.0611%7 Nov →
mirage10–13-0.0414%7 Nov →
dust213–9-0.0412%5 Nov →
cache10–130.034%5 Nov →
mirage13–60.0612%5 Nov →
nuke13–50.004%5 Nov →
overpass6–13-0.065%4 Nov →
inferno13–6-0.0019%4 Nov →
inferno25–230.0312%4 Nov →
dust213–10-0.0415%4 Nov →
anubis4–13-0.063%3 Nov →
cache1–13-0.084%3 Nov →
ancient13–8-0.064%3 Nov →
inferno13–30.1718%2 Nov →
inferno13–30.1015%2 Nov →
overpass13–90.0613%2 Nov →
anubis13–40.0413%2 Nov →
cache7–13-0.0512%2 Nov →
inferno13–7-0.026%1 Nov →
inferno0–4-0.110%1 Nov →
office13–11-0.0420%1 Nov →
cache5–13-0.035%29 Oct →
office7–13-0.026%29 Oct →
rush_0017–8-0.0611%28 Oct →
rush_0017–80.0127%28 Oct →
rush_0017–80.0225%28 Oct →
inferno11–13-0.0011%28 Oct →
office12–120.0713%28 Oct →
office13–60.117%27 Oct →
cache5–130.0111%27 Oct →
cache13–70.056%27 Oct →
cache13–50.137%27 Oct →
dust214–16-0.058%26 Oct →
anubis14–160.0111%26 Oct →
ancient4–130.027%26 Oct →
anubis10–13-0.029%23 Oct →
cache13–9-0.027%22 Oct →
mirage10–130.0014%21 Oct →
cache7–13-0.0520%21 Oct →
inferno13–70.0817%21 Oct →
inferno13–80.1014%21 Oct →
anubis13–90.0719%20 Oct →
anubis10–130.057%20 Oct →
inferno13–110.0414%20 Oct →
anubis8–13-0.0212%19 Oct →
cache13–110.008%19 Oct →
inferno5–130.0214%19 Oct →
mirage13–40.1111%18 Oct →
cache5–13-0.072%18 Oct →
italy4–13-0.050%18 Oct →
office13–70.0312%18 Oct →
ancient5–13-0.0116%18 Oct →
mirage13–9-0.068%18 Oct →
office13–70.0521%17 Oct →
italy13–20.0213%17 Oct →
mirage9–13-0.0215%17 Oct →
nuke13–6-0.049%16 Oct →
anubis13–80.0415%16 Oct →
anubis13–60.0323%16 Oct →
inferno3–13-0.0524%15 Oct →
anubis13–110.017%15 Oct →
ancient6–13-0.0611%15 Oct →
dust26–13-0.0814%14 Oct →
inferno13–6-0.037%14 Oct →
vertigo13–9-0.018%14 Oct →
overpass3–6-0.070%14 Oct →
office13–70.0118%14 Oct →
inferno16–13-0.0412%13 Oct →
ancient13–70.0614%13 Oct →
anubis13–70.0019%12 Oct →
cache13–40.1217%12 Oct →
vertigo5–13-0.0539%11 Oct →
ancient5–13-0.0514%11 Oct →
anubis9–13-0.0016%11 Oct →
inferno13–80.037%11 Oct →
ancient9–13-0.066%7 Oct →
mirage13–80.0511%7 Oct →
cache13–80.036%7 Oct →
anubis0–130.0113%7 Oct →
dust213–80.0114%7 Oct →
anubis16–140.0711%6 Oct →
ancient16–120.028%6 Oct →
dust213–100.0716%5 Oct →
anubis8–13-0.0216%5 Oct →
nuke7–13-0.0818%5 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.