Bebbo

Bebbo — CS2 Stats

DE76561197999378939[U:1:39113211]Steam profile ↗✓ No bans

680Tracked matches48%Win rate2021Tracked since
1,428Hours in CS
CSDB Rating4.6 DevelopingSupport
CSDB Leaderboard#92683 of 261524 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 19,587 +582 20 Nov – 1 Oct · 21 days played
17,62220,616peak 20,61620 Nov1 Oct
20,616Peak Premier in tracked matches
46Days played since 2025-11-20

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate53.0%42.7%43.8%above
Shot accuracy14.1%11.2%12.0%above
Kill/death ratio0.660.991.020.35 short
Match win rate39.9%43.9%44.7%4.8% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBebboFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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
Positioning34
Utility47

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLLWTLWLLTW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · −0.7pp headshot accuracy · +2ms reaction

Win rate down 20pp 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 700ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 646ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 645ms

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 (+2.2 against its own average).

Aim5.8
Utility4.7
Positioning3.4
Opening Duels0.0
Clutch1.8

Limited utility dependence

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 637ms 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
Positioning3.4
Utility4.7
Mechanics6.7
Opening Duels0.6
Win Impact4.4

Composite 4.6/10 (Developing), 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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time634ms−45ms
first ⅓ avg 679ms → last ⅓ avg 634ms
Headshot accuracy19.9%+2.4%
first ⅓ avg 17.5% → last ⅓ avg 19.9%

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

0.15Best match rating · 12–1 · ancient, 18 Jul →
50%Best headshot accuracy · 13–1 · dust2, 1 Oct →
469msFastest reaction time · 6–13 · inferno, 5 Aug →
13–0Biggest win · cache, 2 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 54% over 13nukeWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
dust2B3114–1745%-0.04
infernoB199–1047%-0.04
ancientB157–847%-0.02
nukeC146–843%-0.03
cacheB137–654%-0.03
mirage—42–250%-0.02
overpass—22–0100%0.03
train—11–0100%0.10
anubis—10–10%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,435Lifetime kills
0.66K/D
2,378Matches
39.9%Match win rate
53.0%Headshot % · Top 25% of Level 4 players
14.1%Shot accuracy · Top 50% of Level 4 players
3,265MVPs
1,428Hours (in match)
2,345Bombs planted
374Bombs defused

Most-used weapons

AK-4718,367
AWP3,401
G3SG11,444
FAMAS1,225
P2501,086

Lifetime map wins

4,939inferno
4,351dust2
1,996nuke
1,043train
424vertigo
174cbble
62office
50lake

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

Faceit stats

Combat

124Matches
45%Win rate
0.80Avg K/D
71.3ADR
41%Headshot %

Clutches & streaks

29%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage560%1.2113.2
Dust2425%0.809.0
Ancient367%1.0416.3
Inferno250%0.8611.0
Anubis10%0.9120.0
Cache10%0.8917.0

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.

19.4%Headshot accuracy
32.5%Accuracy (enemy spotted)
32.7%Spray accuracy
80.2%Counter-strafing
10.7°Preaim
637msReaction time
34.5%T opening success
26.2%CT opening success
0.62Enemies flashed / flash
7.8%Flash assists
9.28HE damage / grenade
4.56Flashes / 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 34.5473% — 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.

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.0611%26 Oct →
cache8–130.0512%4 Oct →
train13–110.1026%4 Oct →
cache12–12-0.0319%2 Oct →
mirage10–13-0.0517%2 Oct →
dust213–10.0050%1 Oct →
dust28–13-0.1023%1 Sept →
nuke10–13-0.0120%1 Sept →
ancient15–15-0.079%1 Sept →
inferno13–110.0319%1 Sept →
cache13–3-0.0436%1 Sept →
ancient16–120.0715%31 Aug →
cache6–13-0.108%28 Aug →
dust213–11-0.0322%28 Aug →
inferno13–9-0.0418%28 Aug →
dust210–13-0.0824%28 Aug →
nuke13–11-0.0738%24 Aug →
inferno8–13-0.0814%24 Aug →
dust211–13-0.0125%24 Aug →
dust211–13-0.0613%24 Aug →
nuke13–9-0.0514%23 Aug →
anubis10–130.039%23 Aug →
cache13–10-0.0518%23 Aug →
dust25–13-0.0723%23 Aug →
dust211–13-0.0918%17 Aug →
dust213–7-0.0015%11 Aug →
cache13–70.0722%11 Aug →
nuke13–90.0324%11 Aug →
nuke10–13-0.0817%9 Aug →
dust215–15-0.0622%8 Aug →
inferno12–16-0.0716%8 Aug →
dust213–10-0.0526%8 Aug →
nuke15–15-0.0015%7 Aug →
dust28–20.0724%7 Aug →
inferno13–10-0.0316%7 Aug →
ancient8–13-0.0725%5 Aug →
ancient13–10-0.0615%5 Aug →
inferno6–13-0.0315%5 Aug →
nuke13–5-0.0321%5 Aug →
inferno13–4-0.0122%4 Aug →
inferno10–13-0.046%4 Aug →
inferno11–13-0.0918%4 Aug →
nuke7–13-0.0735%4 Aug →
ancient10–40.0118%4 Aug →
dust26–13-0.0612%30 Jul →
cache6–13-0.0520%30 Jul →
dust28–130.0033%30 Jul →
nuke5–130.0026%30 Jul →
dust211–6-0.0221%30 Jul →
dust212–16-0.0613%25 Jul →
inferno6–13-0.0317%25 Jul →
ancient13–6-0.019%24 Jul →
dust210–13-0.1413%24 Jul →
dust213–80.0016%20 Jul →
cache11–13-0.0620%19 Jul →
ancient7–13-0.0118%19 Jul →
inferno11–13-0.1020%19 Jul →
ancient13–60.008%18 Jul →
dust213–7-0.049%18 Jul →
cache13–80.0026%18 Jul →
ancient12–10.1517%18 Jul →
ancient7–13-0.0314%15 Jul →
cache13–7-0.0517%10 Jul →
mirage13–11-0.0120%10 Jul →
inferno7–13-0.0712%10 Jul →
ancient12–16-0.0514%9 Jul →
dust23–13-0.0710%9 Jul →
inferno13–9-0.0120%9 Jul →
cache12–12-0.0524%4 Jun →
cache13–4-0.0025%4 Jun →
overpass13–30.0016%2 Jun →
ancient3–13-0.0619%2 Jun →
ancient11–13-0.0510%1 Jun →
dust23–13-0.0520%1 Jun →
inferno13–7-0.026%1 Jun →
inferno13–9-0.0211%29 May →
dust213–9-0.0026%24 May →
cache13–0-0.0525%2 May →
dust211–13-0.0416%21 Apr →
mirage11–13-0.0614%7 Feb →
nuke9–13-0.0232%7 Feb →
inferno13–11-0.0410%30 Jan →
dust213–3-0.0617%30 Jan →
dust210–13-0.064%29 Jan →
dust213–7-0.0812%26 Jan →
ancient13–11-0.0311%25 Jan →
inferno13–80.0124%25 Jan →
mirage13–100.0328%22 Jan →
nuke5–13-0.0424%10 Jan →
inferno6–13-0.0518%2 Jan →
dust216–14-0.0515%2 Jan →
nuke13–8-0.0315%1 Jan →
nuke13–9-0.0312%24 Dec →
dust210–13-0.0511%24 Dec →
ancient8–13-0.097%24 Dec →
inferno6–13-0.0237%19 Dec →
dust213–11-0.0413%6 Dec →
overpass13–110.0612%6 Dec →
dust210–13-0.0215%28 Nov →
dust213–8-0.0528%20 Nov →

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 →

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