Beterra

Beterra — CS2 Stats

DE76561198152603605[U:1:192337877]Steam profile ↗✓ No bans

475Tracked matches70%Win rate2020Tracked since
5,828Hours in CS22Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating23,036Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#43275 of 260016 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Aug 2026 (78 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: 23,036 +10,064 23 Oct – 19 Aug · 31 days played
12,97223,036peak 23,03623 Oct19 Aug
23,372Peak Premier in tracked matches
57Days played since 2024-10-23

Premier CS Rating

  • At peak — 23,036
  • Next: Red band at 25,000 — 1,964 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate54.4%46.8%48.2%above
Shot accuracy20.5%13.0%13.2%above
Kill/death ratio0.991.061.070.09 short
Match win rate46.3%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBeterraFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER23,036 · Pink 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

Aim82
Positioning63
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY59–35–6Last 10059%Win rateLLLLLWLWWW

Last 10 vs previous 10: −50pp win rate · +0.02 avg rating · −3.0pp headshot accuracy · −3ms reaction

Win rate down 50pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 597ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 563ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 565ms

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 (+1.2 against its own average).

Aim8.2
Utility5.3
Positioning6.3
Opening Duels5.0
Clutch3.8

Strong CT-side opener

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

m0NESY

Plays most like m0NESY 99% 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 42% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 563ms 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

Aim8.2
Positioning6.3
Utility5.3
Mechanics6.8
Opening Duels5.5
Win Impact10.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time567ms−86ms
first ⅓ avg 652ms → last ⅓ avg 567ms
Headshot accuracy19.2%−8.1%
first ⅓ avg 27.3% → last ⅓ avg 19.2%

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 · 13–8 · nuke, 8 Oct →
91%Best headshot accuracy · 2–9 · poseidon, 16 Jun →
422msFastest reaction time · 13–6 · inferno, 13 Aug →
13–0Biggest win · mirage, 19 Aug →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L5Current streak
3–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 83% over 6ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2515–1060%0.02
dust2A2313–1057%0.04
infernoS2013–765%0.02
ancientB115–645%0.04
cacheS118–373%-0.03
nukeS65–183%0.02
anubis—10–10%0.00
poseidon—10–10%-0.05
dogtown—10–10%0.05
train—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

146,535Lifetime kills
0.99K/D
4,851Matches
46.3%Match win rate
54.4%Headshot % · Top 25% of Level 8 players
20.5%Shot accuracy · Top 5% of Level 8 players
14,769MVPs
3,010Hours (in match)
5,670Bombs planted
1,661Bombs defused

Most-used weapons

AK-4764,666
AWP15,226
Knife2,768
P2502,252
UMP-451,674
AUG1,525

Lifetime map wins

10,721inferno
7,134dust2
4,166cbble
2,408nuke
2,147train
334vertigo
131lake
83shorttrain

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

Faceit stats

Combat

2,289Matches
50%Win rate
1.15Avg K/D
82.5ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2839%1.0616.9
Dust22157%1.2317.2
Anubis1856%1.2919.3
Inferno1267%1.2818.0
Cache1155%1.4019.9
Ancient933%1.1518.6
Nuke743%1.1620.7
Train10%0.9313.0

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.

19.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.0%Spray accuracy
80.8%Counter-strafing
8.8°Preaim
563msReaction time
42.5%T opening success
61.9%CT opening success
0.59Enemies flashed / flash
8.5%Flash assists
8.36HE damage / grenade
5.03Flashes / match

Recommended for you

Spend your practice time on Ancient

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

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0119%31 Oct →
nuke12–16-0.074%30 Oct →
dust217–190.0422%26 Oct →
ancient8–130.0325%15 Oct →
mirage5–13-0.0316%14 Oct →
nuke13–80.1524%8 Oct →
mirage6–13-0.0123%8 Oct →
inferno13–50.0620%6 Oct →
dust213–100.0722%29 Sept →
mirage13–20.0720%27 Sept →
mirage13–11-0.0328%16 Sept →
ancient13–70.0124%19 Aug →
inferno2–13-0.064%19 Aug →
mirage13–00.0428%19 Aug →
dust27–30.0135%19 Aug →
cache13–6-0.038%18 Aug →
ancient13–30.0729%18 Aug →
inferno8–10.0615%16 Aug →
mirage13–50.0327%15 Aug →
inferno13–100.0326%14 Aug →
cache13–1-0.063%14 Aug →
inferno13–6-0.0217%13 Aug →
ancient13–8-0.0226%13 Aug →
inferno7–13-0.0713%13 Aug →
cache7–13-0.0725%12 Aug →
inferno13–100.0818%12 Aug →
cache13–4-0.049%12 Aug →
cache13–70.0320%11 Aug →
inferno13–40.0218%11 Aug →
cache13–80.0025%10 Aug →
mirage13–90.0212%8 Aug →
ancient15–150.0813%7 Aug →
dust212–160.0416%5 Aug →
dust29–40.0426%5 Aug →
mirage13–90.1424%4 Aug →
nuke13–80.0324%3 Aug →
ancient15–150.0315%3 Aug →
inferno13–20.0726%3 Aug →
nuke10–30.0413%3 Aug →
cache11–130.0229%2 Aug →
mirage13–80.0125%2 Aug →
dust213–20.0321%2 Aug →
dust213–30.0615%2 Aug →
inferno13–160.1023%2 Aug →
mirage4–130.0311%2 Aug →
cache13–9-0.0120%1 Aug →
ancient13–20.1319%1 Aug →
mirage15–15-0.0225%1 Aug →
mirage13–70.0228%1 Aug →
dust27–130.0328%30 Jul →
cache8–13-0.0520%30 Jul →
inferno13–40.0934%30 Jul →
inferno13–40.1417%30 Jul →
anubis11–130.0036%29 Jul →
nuke13–1-0.0436%29 Jul →
ancient13–50.0315%29 Jul →
inferno13–40.0628%29 Jul →
inferno11–130.0420%28 Jul →
inferno13–11-0.0417%27 Jul →
dust212–12-0.0150%27 Jul →
dust213–80.0434%27 Jul →
ancient15–15-0.0528%25 Jul →
dust29–130.0024%25 Jul →
dust213–7-0.0335%24 Jul →
cache13–5-0.0543%24 Jul →
cache13–6-0.0357%24 Jul →
poseidon2–9-0.0591%16 Jun →
ancient11–130.1233%5 Mar →
inferno6–9-0.0350%4 Mar →
nuke9–50.0444%6 Jun →
dust213–60.0740%5 Jun →
dust213–90.1221%3 Jun →
dust211–130.0524%30 May →
mirage13–100.0333%17 May →
mirage5–13-0.0052%17 May →
inferno15–150.0119%13 May →
ancient7–13-0.0431%11 May →
mirage11–13-0.0522%11 May →
dust213–100.0432%10 May →
dogtown7–90.0550%9 May →
mirage8–130.0319%7 May →
mirage6–130.0121%7 May →
mirage16–130.0827%4 May →
dust214–16-0.0018%3 May →
mirage13–8-0.0216%3 May →
mirage13–50.0619%2 May →
dust213–00.0629%2 May →
inferno13–7-0.0327%1 May →
inferno13–6-0.0315%30 Apr →
mirage13–110.0025%27 Apr →
train9–130.0121%11 Apr →
mirage13–40.0418%6 Nov →
inferno6–130.0114%6 Nov →
dust210–130.1023%29 Oct →
mirage0–13-0.0026%29 Oct →
mirage13–40.0330%26 Oct →
dust211–130.0314%25 Oct →
dust211–130.0438%25 Oct →
dust213–30.1030%23 Oct →
dust213–9-0.0017%23 Oct →

Match data via Leetify.

Recent teammates

Milestones

100 Matches10-Win Streak
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.