Bech

Bech — CS2 Stats

DK76561198002299156[U:1:42033428]Steam profile ↗✓ No bans

2,012Tracked matches60%Win rate2020Tracked since
CSDB Rating6.2 SolidSupport
FaceitLevel 10 · 2,065 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,065 → 2,065
+145Tracked matches · now 2,012
0.0ppWin rate · 60.0% → 60.0%

Rating over time

2,065Highest Faceit ELO seen on CSDB
82Days played since 2024-11-16

Faceit ELO

  • At peak — 2,065
  • Next: 2,500 ELO at 2,500 — 435 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-30
  • Level 9 first seen 2026-08-30

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

Share this profile

CSDB.GGBechFACEITLevel 10 · 2,065 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,065csdb.gg/stats

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Performance scores

Aim78
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateWLLLWWWLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +3.0pp headshot accuracy · +27ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 522ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 549ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 535ms

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 (+1.3 against its own average).

Aim7.8
Utility5.6
Positioning5.3
Opening Duels3.6
Clutch2.8

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

ZywOo

Plays most like ZywOo 98% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

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

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim7.8
Positioning5.3
Utility5.6
Mechanics5.5
Opening Duels2.6
Win Impact8.3

Composite 6.2/10 (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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time556ms−81ms
first ⅓ avg 637ms → last ⅓ avg 556ms
Headshot accuracy18.4%−2.6%
first ⅓ avg 21.0% → last ⅓ avg 18.4%

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

0.11Best match rating · 13–4 · cache, 18 Sept →
45%Best headshot accuracy · 13–2 · dust2, 13 Nov →
359msFastest reaction time · 1–13 · nuke, 17 Mar →
13–1Biggest win · dust2, 18 Feb →

Across the last 100 tracked matches.

Highlights

6Longest win streak
13–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 62% over 13infernoWeakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
infernoC218–1338%0.01
nukeB178–947%-0.02
mirageB157–847%0.00
dust2A138–562%0.01
ancientA138–562%-0.00
overpassB105–550%-0.00
anubis—44–0100%0.01
train—31–233%-0.03
cache—22–0100%0.04
vertigo—21–150%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,140Matches
51%Win rate
1.02Avg K/D
79.1ADR
47%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno22950%1.0015.4
Mirage18947%0.9414.9
Nuke16352%1.0715.7
Ancient13446%0.9815.4
Dust213047%1.0315.7
Overpass8649%1.0415.9
Anubis7445%1.0814.4
Vertigo5862%0.9915.4

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.

18.9%Headshot accuracy
37.8%Accuracy (enemy spotted)
40.6%Spray accuracy
74.7%Counter-strafing
9.3°Preaim
556msReaction time
29.9%T opening success
50.6%CT opening success
0.60Enemies flashed / flash
6.6%Flash assists
7.41HE damage / grenade
9.11Flashes / 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 29.9082% — below the 40% mark we flag

Spend your practice time on Inferno

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

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–90.0526%26 Oct →
dust211–13-0.0127%25 Oct →
inferno12–160.0221%21 Oct →
dust210–130.0118%18 Oct →
nuke13–70.0519%16 Oct →
ancient13–110.0222%14 Oct →
anubis13–50.0118%8 Oct →
inferno8–130.0113%2 Oct →
inferno13–5-0.0119%28 Sept →
mirage5–13-0.0416%28 Sept →
mirage6–13-0.0614%28 Sept →
inferno9–130.0019%20 Sept →
mirage16–130.0426%20 Sept →
cache13–40.1114%18 Sept →
dust213–70.0724%18 Sept →
nuke4–13-0.0317%18 Sept →
mirage13–80.0017%14 Sept →
inferno7–13-0.039%12 Sept →
nuke16–13-0.0512%23 Aug →
ancient13–20.0118%8 Jul →
nuke10–13-0.0124%8 Jul →
mirage4–130.1012%3 Jul →
nuke16–14-0.0121%19 Jun →
overpass22–18-0.0422%15 Jun →
nuke13–60.0115%13 Jun →
dust213–60.0316%31 May →
inferno13–5-0.0319%22 May →
nuke13–11-0.0117%22 May →
inferno12–160.0218%16 May →
overpass13–30.0224%15 May →
ancient13–30.0422%12 May →
cache16–12-0.0316%12 May →
nuke9–13-0.0413%12 May →
dust213–80.0121%10 May →
mirage11–13-0.0118%28 Apr →
anubis13–11-0.0321%27 Apr →
dust211–13-0.0110%15 Apr →
nuke13–110.0112%13 Apr →
ancient8–13-0.0423%8 Apr →
dust213–10-0.0117%4 Apr →
nuke1–13-0.047%17 Mar →
nuke6–13-0.0515%22 Feb →
dust213–1-0.0019%18 Feb →
ancient9–130.0414%16 Feb →
ancient7–13-0.0016%14 Feb →
inferno13–90.0814%10 Feb →
dust213–70.0923%8 Feb →
overpass4–13-0.0215%8 Feb →
nuke16–14-0.0313%19 Jan →
inferno6–130.0313%16 Jan →
anubis13–110.0019%14 Jan →
inferno13–80.0320%7 Jan →
ancient13–11-0.0016%23 Dec →
mirage13–90.0116%1 Dec →
dust26–12-0.0444%27 Nov →
ancient13–11-0.0015%25 Nov →
inferno13–80.0718%24 Nov →
overpass8–130.0415%21 Nov →
overpass9–13-0.0113%21 Nov →
inferno13–100.0224%17 Nov →
dust213–20.0445%13 Nov →
inferno10–130.0118%11 Nov →
ancient0–13-0.0323%11 Nov →
ancient13–110.0119%6 Nov →
mirage13–30.0821%6 Nov →
train19–160.0425%2 Nov →
mirage8–13-0.0227%1 Nov →
nuke7–13-0.076%28 Oct →
ancient5–13-0.0220%26 Oct →
mirage11–130.0113%25 Oct →
ancient13–6-0.0524%19 Oct →
overpass13–60.0530%16 Oct →
mirage13–10-0.0111%27 Sept →
overpass13–9-0.0116%15 Sept →
nuke13–6-0.0414%9 Sept →
nuke10–13-0.0030%2 Sept →
mirage13–11-0.0126%22 Aug →
nuke9–13-0.0521%11 Aug →
mirage13–90.0313%11 Aug →
inferno14–16-0.0213%5 Aug →
mirage4–13-0.0612%5 Aug →
mirage4–13-0.0523%2 Aug →
train11–13-0.0321%29 Jul →
inferno13–9-0.0019%28 Jul →
overpass5–13-0.0423%27 Jul →
train7–13-0.0923%23 Jul →
overpass7–13-0.0428%22 Jul →
inferno6–13-0.0421%21 Jul →
inferno6–13-0.019%19 Jun →
anubis13–110.0435%10 May →
nuke10–130.0315%10 May →
ancient13–90.0024%29 Apr →
inferno13–70.0138%30 Dec →
vertigo13–11-0.0132%16 Dec →
inferno16–19-0.0321%21 Nov →
dust28–13-0.0622%18 Nov →
overpass13–90.0324%17 Nov →
inferno5–130.0522%17 Nov →
vertigo13–16-0.0114%17 Nov →
inferno3–13-0.0836%16 Nov →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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