bel1eveツ

bel1eveツ — CS2 Stats

DK76561198213832103[U:1:253566375]Steam profile ↗✓ No bans

1,586Tracked matches54%Win rate2020Tracked since
3,623Hours in CS30Hrs last 2 wks
CSDB Rating3.8 LearningSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+62Tracked matches · now 1,586
+13.1ppWin rate · 40.7% → 53.8%

Rating over time

39Days played since 2026-06-23

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate31.5%41.8%42.7%11.2% short
Shot accuracy13.2%12.2%11.2%above
Kill/death ratio0.820.980.990.17 short
Match win rate42.2%43.3%43.9%1.7% short

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

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbel1eveツFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim32
Positioning23
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY40–51–9Last 10040%Win rateLLWWWLLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · −4ms reaction

Win rate down 30pp 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 -0.07
  • Avg headshot accuracy 11%
  • Avg reaction 633ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 10%
  • Avg reaction 660ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 10%
  • Avg reaction 662ms

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 (+3.6 against its own average).

Aim3.2
Utility5.6
Positioning2.3
Opening Duels0.0
Clutch0.0

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

ZywOo

Plays most like ZywOo 67% 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. 663ms 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

Aim3.2
Positioning2.3
Utility5.6
Mechanics6.1
Opening Duels0.0
Win Impact6.3

Composite 3.8/10 (Learning), 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 rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time672ms−2ms
first ⅓ avg 674ms → last ⅓ avg 672ms
Headshot accuracy10.6%+1.5%
first ⅓ avg 9.1% → 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

0.07Best match rating · 13–7 · cache, 29 Sept →
24%Best headshot accuracy · 13–6 · cache, 11 Aug →
484msFastest reaction time · 13–7 · mirage, 18 Aug →
13–2Biggest win · cache, 7 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
2–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 50% over 14dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC3514–2140%-0.03
mirageB157–847%-0.05
nukeB147–750%-0.05
dust2D92–722%-0.04
infernoC73–443%-0.05
ancientD62–433%-0.06
vertigoD62–433%-0.08
overpass—30–30%-0.01
anubis—20–20%-0.06
boulder—11–0100%-0.01
shelter—11–0100%-0.04
fachwerk—11–0100%-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,591Lifetime kills
0.82K/D
5,409Matches
42.2%Match win rate
31.5%Headshot %
13.2%Shot accuracy · Top 50% of Level 3 players
7,050MVPs
1,928Hours (in match)
5,611Bombs planted
1,170Bombs defused

Most-used weapons

AK-4719,673
AWP5,917
FAMAS4,316
AUG2,537
SG 5531,751

Lifetime map wins

9,101inferno
4,881dust2
4,777nuke
1,995vertigo
1,300train
406office
281lake
213cbble

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

Faceit stats

Combat

138Matches
49%Win rate
0.69Avg K/D
60.1ADR
33%Headshot %

Clutches & streaks

19%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2462%0.8311.6
Ancient1338%0.7210.2
Nuke1369%0.8111.3
Inferno1136%0.7713.4
Dust2911%0.507.9
Cache667%0.689.0
Anubis425%0.7814.0

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.

10.6%Headshot accuracy
29.0%Accuracy (enemy spotted)
27.9%Spray accuracy
77.6%Counter-strafing
10.8°Preaim
663msReaction time
20.1%T opening success
16.6%CT opening success
0.48Enemies flashed / flash
3.6%Flash assists
6.04HE damage / grenade
10.35Flashes / 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 10.5826% — 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 0.4829 — below the 0.5 mark we flag

    Grenade Lineups →
  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 20.0965% — below the 40% mark we flag

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.0610%26 Oct →
ancient13–16-0.1013%24 Oct →
dust213–6-0.0810%22 Oct →
mirage13–7-0.035%19 Oct →
nuke13–10-0.0716%19 Oct →
mirage3–13-0.085%16 Oct →
vertigo5–13-0.0712%16 Oct →
mirage9–13-0.128%16 Oct →
inferno13–6-0.023%13 Oct →
cache4–13-0.0421%13 Oct →
inferno13–7-0.0514%13 Oct →
nuke13–10-0.060%7 Oct →
cache13–2-0.039%7 Oct →
cache13–7-0.065%7 Oct →
ancient13–9-0.0012%6 Oct →
nuke13–70.0412%6 Oct →
mirage13–11-0.0514%5 Oct →
nuke12–12-0.0611%5 Oct →
dust212–12-0.0810%5 Oct →
nuke12–12-0.0910%4 Oct →
dust212–120.0021%4 Oct →
ancient4–13-0.120%4 Oct →
vertigo7–13-0.1111%4 Oct →
ancient13–8-0.108%1 Oct →
mirage10–13-0.0510%1 Oct →
vertigo13–10-0.1111%1 Oct →
nuke13–6-0.0513%30 Sept →
overpass6–13-0.0214%30 Sept →
cache3–13-0.0413%30 Sept →
cache9–13-0.0915%29 Sept →
cache8–13-0.0016%29 Sept →
cache5–5-0.017%29 Sept →
cache13–70.0713%29 Sept →
nuke13–80.0113%28 Sept →
cache6–130.014%23 Sept →
mirage9–13-0.124%23 Sept →
inferno5–13-0.094%22 Sept →
cache13–8-0.043%22 Sept →
anubis7–13-0.070%22 Sept →
mirage6–13-0.056%22 Sept →
boulder13–9-0.0110%16 Sept →
shelter13–8-0.047%16 Sept →
fachwerk13–10-0.068%16 Sept →
cache7–130.0010%15 Sept →
cache6–13-0.0712%15 Sept →
cache6–13-0.059%15 Sept →
cache4–13-0.0212%26 Aug →
nuke11–13-0.104%26 Aug →
nuke6–13-0.0720%25 Aug →
cache4–13-0.0211%25 Aug →
cache6–13-0.064%25 Aug →
cache13–5-0.0111%25 Aug →
ancient15–15-0.0316%18 Aug →
mirage13–70.0616%18 Aug →
dust210–13-0.0216%18 Aug →
cache13–60.0324%11 Aug →
cache13–5-0.0321%11 Aug →
cache13–2-0.0121%11 Aug →
overpass12–12-0.0011%5 Aug →
vertigo8–13-0.0310%5 Aug →
dust27–13-0.109%5 Aug →
cache2–13-0.057%5 Aug →
cache10–13-0.0918%4 Aug →
cache8–13-0.117%4 Aug →
cache12–12-0.019%4 Aug →
mirage13–10-0.029%29 Jul →
cache9–13-0.088%29 Jul →
cache2–130.009%29 Jul →
cache13–4-0.1012%28 Jul →
cache13–6-0.059%28 Jul →
cache8–130.0115%28 Jul →
cache6–13-0.044%28 Jul →
vertigo7–13-0.0917%21 Jul →
ancient14–160.007%14 Jul →
inferno6–13-0.057%7 Jul →
nuke8–13-0.073%7 Jul →
mirage4–13-0.1115%4 Jul →
dust213–90.028%4 Jul →
nuke13–9-0.036%3 Jul →
cache2–13-0.055%3 Jul →
dust212–12-0.078%2 Jul →
overpass8–13-0.0211%1 Jul →
dust29–130.016%1 Jul →
mirage8–13-0.056%29 Jun →
cache13–9-0.0414%28 Jun →
mirage13–2-0.0514%28 Jun →
vertigo13–8-0.0713%28 Jun →
nuke11–13-0.0315%28 Jun →
nuke1–13-0.116%27 Jun →
inferno8–13-0.057%27 Jun →
mirage13–5-0.0311%27 Jun →
cache13–7-0.043%27 Jun →
mirage12–12-0.059%26 Jun →
nuke13–10-0.088%26 Jun →
inferno7–13-0.0718%26 Jun →
dust23–13-0.087%26 Jun →
inferno13–4-0.036%24 Jun →
cache13–7-0.046%24 Jun →
mirage13–90.029%24 Jun →
cache11–13-0.056%23 Jun →

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 →

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