Tony Beets.

Tony Beets. — CS2 Stats

BS76561197986207677[U:1:25941949]Steam profile ↗✓ No bans

1,719Tracked matches43%Win rate2021Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating23,932Top 25% of 211,308 CSDB-tracked playersPink band · top ~4.2% of ranked players (population est.)
CSDB Leaderboard#32921 of 258331 tracked
FaceitLevel 7 · 1,373 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (13 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: 23,932 +5,240 2 May – 16 Oct · 30 days played
16,99926,343peak 26,3432 May16 Oct
26,671Peak Premier in tracked matches
1,373Highest Faceit ELO seen on CSDB
34Days played since 2026-05-02

Faceit ELO

  • At peak — 1,373
  • Next: Level 8 at 1,531 — 158 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-29
  • Level 6 first seen 2026-08-29

Premier CS Rating

  • 2,411 below peak (26,343)
  • -1,720 over 90 days
  • Next: Red band at 25,000 — 1,068 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGTony Beets.FACEITLevel 7 · 1,373 ELOSTANDINGTop 42.3% of rankedPREMIER23,932 · Pink bandPEAK ELO1,373csdb.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

Aim62
Positioning40
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY48–47–5Last 10048%Win rateWLWLWLWLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.6pp headshot accuracy · +43ms 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

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 (+2.4 against its own average).

Aim6.2
Utility6.0
Positioning4.0
Opening Duels0.3
Clutch4.2

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

NiKo

Plays most like NiKo 76% 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. 594ms 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

Aim6.2
Positioning4.0
Utility6.0
Mechanics5.3
Opening Duels0.7
Win Impact2.8

Composite 4.8/10 (Developing), 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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time586ms−52ms
first ⅓ avg 638ms → last ⅓ avg 586ms
Headshot accuracy15.3%−2.0%
first ⅓ avg 17.3% → last ⅓ avg 15.3%

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

0.09Best match rating · 13–3 · overpass, 2 May →
54%Best headshot accuracy · 13–4 · dust2, 31 Jul →
367msFastest reaction time · 0–13 · nuke, 11 May →
13–2Biggest win · inferno, 6 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–10In matches decided by ≤2 rounds
9Overtime games

Map breakdown

overpassBest map · 80% over 5mirageWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2815–1354%0.00
ancientB178–947%-0.01
nukeB179–853%-0.02
cacheD124–833%-0.05
anubisA95–456%-0.01
mirageD71–614%-0.04
dust2C52–340%-0.04
overpassS54–180%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (14% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches
53%Win rate
1.09Avg K/D
80.4ADR
49%Headshot %

Clutches & streaks

41%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1650%1.1418.1
Ancient1553%1.0517.7
Nuke1283%1.1516.1
Mirage922%0.7311.2
Train450%1.4821.3
Anubis250%1.6413.5
Overpass250%0.8010.0
Dust2250%1.1214.0

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.

16.9%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.6%Spray accuracy
73.9%Counter-strafing
9.0°Preaim
594msReaction time
27.8%T opening success
35.5%CT opening success
0.70Enemies flashed / flash
3.7%Flash assists
8.75HE damage / grenade
11.06Flashes / 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 27.7867% — below the 40% mark we flag

Spend your practice time on Mirage

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–11-0.0211%16 Oct →
ancient14–160.0116%2 Oct →
inferno13–50.0514%2 Oct →
anubis6–40.0815%29 Sept →
inferno13–80.0829%29 Sept →
cache6–13-0.068%8 Sept →
dust213–10-0.0152%5 Sept →
nuke9–13-0.0616%5 Sept →
inferno7–13-0.0713%5 Sept →
ancient11–13-0.0313%5 Sept →
ancient13–60.0019%31 Aug →
inferno13–50.0011%29 Aug →
ancient0–4-0.040%29 Aug →
inferno13–3-0.0019%29 Aug →
cache16–120.0120%28 Aug →
cache8–13-0.0410%28 Aug →
mirage5–130.0025%28 Aug →
nuke13–8-0.0421%28 Aug →
nuke13–10-0.0118%26 Aug →
inferno5–13-0.079%26 Aug →
mirage5–13-0.0917%26 Aug →
ancient2–3-0.080%26 Aug →
ancient13–7-0.0224%25 Aug →
inferno8–13-0.0314%24 Aug →
nuke7–13-0.0713%24 Aug →
nuke10–13-0.096%20 Aug →
cache8–13-0.0917%19 Aug →
anubis13–40.0019%18 Aug →
dust213–16-0.0315%17 Aug →
nuke13–11-0.0313%13 Aug →
inferno13–100.0014%6 Aug →
mirage11–13-0.062%6 Aug →
anubis6–13-0.0213%4 Aug →
anubis5–13-0.0633%4 Aug →
inferno13–80.0220%4 Aug →
inferno13–100.0519%3 Aug →
dust213–4-0.0754%31 Jul →
dust28–13-0.0122%31 Jul →
ancient13–11-0.0421%21 Jul →
cache11–13-0.0823%21 Jul →
nuke12–160.0111%21 Jul →
ancient13–3-0.0113%21 Jul →
nuke13–110.0117%20 Jul →
inferno13–9-0.0017%20 Jul →
inferno6–13-0.0514%17 Jul →
nuke13–90.0329%17 Jul →
inferno13–40.0521%17 Jul →
cache13–10-0.0227%17 Jul →
ancient13–100.0212%17 Jul →
anubis13–10-0.0313%17 Jul →
inferno13–10-0.0210%13 Jul →
cache3–13-0.0218%8 Jul →
nuke9–13-0.0720%8 Jul →
ancient12–12-0.0216%8 Jul →
anubis13–11-0.0039%8 Jul →
inferno10–13-0.0214%8 Jul →
inferno15–15-0.0211%6 Jul →
nuke7–13-0.0413%6 Jul →
ancient13–11-0.0125%6 Jul →
inferno13–50.0621%6 Jul →
inferno8–13-0.0411%8 Jun →
nuke16–130.0311%8 Jun →
inferno10–13-0.044%8 Jun →
inferno11–13-0.018%6 Jun →
nuke13–90.0514%6 Jun →
ancient8–13-0.0421%6 Jun →
inferno13–20.0827%6 Jun →
overpass15–150.0112%6 Jun →
mirage13–5-0.0510%6 Jun →
inferno2–13-0.0518%6 Jun →
dust24–13-0.069%6 Jun →
inferno11–130.0323%6 Jun →
nuke13–90.0119%6 Jun →
mirage9–13-0.0118%6 Jun →
nuke11–130.0221%6 Jun →
ancient13–10-0.0611%6 Jun →
cache3–13-0.107%6 Jun →
mirage8–13-0.0416%15 May →
inferno15–15-0.0112%15 May →
overpass13–11-0.0230%15 May →
cache13–6-0.0024%15 May →
ancient8–13-0.0214%11 May →
nuke0–13-0.0622%11 May →
overpass13–10-0.0011%11 May →
ancient13–40.069%11 May →
inferno4–00.010%11 May →
anubis4–13-0.0714%11 May →
cache6–13-0.0943%9 May →
nuke13–10-0.0512%9 May →
mirage11–13-0.0720%9 May →
overpass13–9-0.0319%4 May →
inferno13–110.0313%4 May →
ancient8–13-0.0120%4 May →
ancient8–130.0819%4 May →
cache2–13-0.0420%3 May →
cache13–5-0.049%3 May →
anubis13–40.0833%3 May →
inferno13–70.0420%3 May →
overpass13–30.0921%2 May →
inferno15–15-0.0425%2 May →

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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