diabolic

diabolic — CS2 Stats

76561197960640117[U:1:374389]Steam profile ↗✓ No bans

1,426Tracked matches57%Win rate2020Tracked since
1,834Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating10,012Blue band · top ~54.8% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,426 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,012 -4,877 15 Aug – 22 Sept · 10 days played
6,55317,591peak 17,59115 Aug22 Sept
17,591Peak Premier in tracked matches
29Days played since 2025-07-07

Premier CS Rating

  • 7,579 below peak (17,591)
  • +3,459 over 30 days · improving
  • Next: Purple band at 15,000 — 4,988 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-22
  • Light Blue band first seen 2026-09-14

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate43.9%45.7%46.8%2.9% short
Shot accuracy17.4%12.7%13.0%above
Kill/death ratio0.931.051.060.13 short
Match win rate35.8%45.7%46.3%10.5% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGdiabolicFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER10,012 · 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

Aim58
Positioning53
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY45–54–1Last 10045%Win rateLWWWWWLLWL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +1.2pp headshot accuracy · +33ms reaction

Win rate down 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 624ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 607ms

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 (+1.9 against its own average).

Aim5.8
Utility5.7
Positioning5.3
Opening Duels1.0
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

iM

Plays most like iM 79% 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. 610ms 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

Aim5.8
Positioning5.3
Utility5.7
Mechanics6.3
Opening Duels0.6
Win Impact7.2

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time610ms−6ms
first ⅓ avg 616ms → last ⅓ avg 610ms
Headshot accuracy22.0%+5.1%
first ⅓ avg 17.0% → last ⅓ avg 22.0%

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

0.10Best match rating · 13–2 · nuke, 29 Aug →
36%Best headshot accuracy · 13–6 · inferno, 29 Aug →
391msFastest reaction time · 3–13 · dust2, 27 Aug →
13–2Biggest win · nuke, 29 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

infernoBest map · 50% over 10nukeWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
dust2B2713–1448%-0.01
ancientB2110–1148%-0.02
nukeC208–1240%-0.02
overpassB115–645%-0.01
infernoB105–550%-0.01
cacheC73–443%-0.03
anubis—20–20%-0.03
mirage—10–10%-0.09
train—11–0100%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (40% over 20). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,702Lifetime kills
0.93K/D
4,254Matches
35.8%Match win rate
43.9%Headshot %
17.4%Shot accuracy · Top 25% of Level 7 players
8,280MVPs
1,834Hours (in match)
4,698Bombs planted
890Bombs defused

Most-used weapons

AK-4729,470
AWP5,304
FAMAS2,919
P2501,626
AUG1,502

Lifetime map wins

8,466inferno
8,083dust2
5,244nuke
2,417train
517vertigo
459cbble
87office
71italy

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

Faceit stats

Combat

969Matches
50%Win rate
0.96Avg K/D
76.0ADR
40%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4168%1.1415.1
Dust23142%1.1015.1
Ancient3142%1.0715.9
Nuke3053%0.9514.9
Anubis1050%0.9713.5
Mirage425%0.7715.8
Train20%0.7011.5
Overpass10%0.6813.0

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.

22.0%Headshot accuracy
31.5%Accuracy (enemy spotted)
32.0%Spray accuracy
78.2%Counter-strafing
11.4°Preaim
610msReaction time
31.9%T opening success
32.8%CT opening success
0.55Enemies flashed / flash
7.7%Flash assists
8.46HE damage / grenade
8.84Flashes / 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 31.9234% — below the 40% mark we flag

Spend your practice time on Nuke

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0528%18 Sept →
nuke13–11-0.0216%18 Sept →
dust213–80.0023%18 Sept →
inferno13–5-0.0429%18 Sept →
nuke13–20.1031%29 Aug →
cache13–11-0.0227%29 Aug →
dust24–13-0.0728%29 Aug →
anubis3–13-0.0317%29 Aug →
dust213–11-0.0112%29 Aug →
ancient6–13-0.0623%29 Aug →
ancient13–40.0531%29 Aug →
nuke11–13-0.0416%29 Aug →
dust211–13-0.0226%29 Aug →
dust213–50.0220%29 Aug →
inferno13–60.0336%29 Aug →
ancient13–30.0718%29 Aug →
nuke16–13-0.0511%28 Aug →
dust213–10-0.0414%28 Aug →
cache13–6-0.0134%28 Aug →
ancient13–8-0.0316%28 Aug →
dust211–13-0.1219%28 Aug →
dust216–14-0.0114%28 Aug →
cache13–80.0735%28 Aug →
mirage4–13-0.0916%28 Aug →
dust29–00.0219%28 Aug →
nuke1–13-0.0726%28 Aug →
cache10–130.0233%28 Aug →
ancient5–13-0.0417%27 Aug →
dust29–130.0122%27 Aug →
inferno4–13-0.0917%27 Aug →
ancient4–13-0.1017%27 Aug →
cache1–13-0.1216%27 Aug →
ancient1–13-0.0822%27 Aug →
cache2–13-0.078%27 Aug →
dust23–13-0.0423%27 Aug →
dust29–7-0.0317%13 Aug →
dust211–13-0.0317%7 Aug →
ancient13–11-0.0518%7 Aug →
nuke13–7-0.0227%7 Aug →
dust25–13-0.0319%7 Aug →
dust22–13-0.0512%4 Aug →
nuke11–130.0310%4 Aug →
ancient4–13-0.0814%4 Aug →
cache9–13-0.0510%30 Jul →
ancient8–130.0120%30 Jul →
dust210–13-0.0319%30 Jul →
ancient2–13-0.0916%29 Jul →
anubis10–13-0.0325%29 Jul →
dust23–13-0.0520%20 Jul →
dust215–15-0.0418%24 Mar →
nuke12–16-0.0220%24 Mar →
nuke11–13-0.0314%12 Sept →
ancient13–90.015%12 Sept →
nuke9–13-0.0016%12 Sept →
nuke13–7-0.0023%22 Aug →
inferno5–13-0.0619%22 Aug →
overpass13–9-0.018%22 Aug →
ancient3–13-0.028%20 Aug →
overpass9–13-0.0413%20 Aug →
overpass13–60.0713%19 Aug →
ancient13–6-0.0313%19 Aug →
inferno13–40.0411%16 Aug →
overpass9–13-0.0119%16 Aug →
ancient13–80.078%16 Aug →
dust213–110.0224%16 Aug →
inferno7–13-0.0122%16 Aug →
nuke13–16-0.0118%16 Aug →
overpass13–30.0127%16 Aug →
dust213–90.0333%16 Aug →
overpass10–13-0.0222%15 Aug →
ancient13–90.0212%15 Aug →
dust213–60.0613%15 Aug →
nuke13–11-0.0216%15 Aug →
inferno16–14-0.0515%15 Aug →
dust213–50.0719%15 Aug →
ancient11–13-0.0018%15 Aug →
nuke9–13-0.0510%15 Aug →
ancient13–7-0.0313%14 Aug →
nuke13–7-0.0313%14 Aug →
dust28–13-0.0612%14 Aug →
inferno13–110.0011%14 Aug →
nuke13–5-0.0210%14 Aug →
dust27–13-0.0019%5 Aug →
overpass7–13-0.0626%5 Aug →
train13–110.0520%30 Jul →
ancient8–130.0124%30 Jul →
nuke5–13-0.0121%28 Jul →
overpass10–130.0212%27 Jul →
overpass8–13-0.0614%25 Jul →
dust213–100.0222%25 Jul →
ancient13–7-0.0511%24 Jul →
overpass13–40.0117%22 Jul →
inferno11–130.0517%22 Jul →
overpass16–13-0.0312%21 Jul →
nuke9–13-0.0320%17 Jul →
dust213–50.0221%17 Jul →
nuke7–13-0.0713%16 Jul →
ancient11–130.0918%7 Jul →
inferno7–13-0.0114%7 Jul →
nuke11–130.0515%7 Jul →

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.