FroBee

FroBee — CS2 Stats

76561199092917342[U:1:1132651614]Steam profile ↗✓ No bans

2,349Tracked matches52%Win rate2024Tracked since
2,408Hours in CS58Hrs last 2 wks
CSDB Rating6.3 SolidSupport
Premier CS Rating18,577Purple band · top ~14.2% of ranked players (population est.)
FaceitLevel 7 · 901 ELOTop 42.3% of ranked FACEIT players
WingmanSilver II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 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: 18,577 +2,118 17 Sept – 14 Oct · 14 days played
16,45919,587peak 19,58717 Sept14 Oct
19,587Peak Premier in tracked matches
901Highest Faceit ELO seen on CSDB
23Days played since 2026-09-17

Faceit ELO

  • At peak — 901
  • Next: Level 5 at 1,051 — 150 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,010 below peak (19,587)
  • +2,118 over 30 days · improving
  • Next: Pink band at 20,000 — 1,423 to go
  • Reached: 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 7 among CSDB-tracked players (n=14,220), 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 7 medianLevel 8 medianvs Level 8
Headshot rate59.6%45.7%46.8%above
Shot accuracy0.0%12.7%13.0%13.0% short
Kill/death ratio1.331.051.06above
Match win rate47.9%45.7%46.3%above

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFroBeeFACEITLevel 7 · 901 ELOSTANDINGTop 42.3% of rankedPREMIER18,577 · Purple bandPEAK ELO901csdb.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

Aim78
Positioning59
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLWWWLWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −4.3pp headshot accuracy · −71ms reaction

Win rate up 20pp 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 -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 555ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 578ms

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 (+1.8 against its own average).

Aim7.8
Utility6.6
Positioning5.9
Opening Duels2.5
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

Twistzz

Plays most like Twistzz 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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. 572ms 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
Positioning5.9
Utility6.6
Mechanics6.5
Opening Duels2.7
Win Impact5.6

Composite 6.3/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time585ms−2ms
first ⅓ avg 587ms → last ⅓ avg 585ms
Headshot accuracy15.9%−0.2%
first ⅓ avg 16.1% → last ⅓ avg 15.9%

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 · 13–1 · anubis, 2 Oct →
35%Best headshot accuracy · 13–5 · dust2, 6 Oct →
422msFastest reaction time · 13–10 · anubis, 14 Oct →
13–1Biggest win · anubis, 2 Oct →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

mirageBest map · 71% over 7infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
anubisS2315–865%0.01
nukeB179–853%-0.00
ancientB168–850%0.01
cacheA159–660%-0.01
dust2S1510–567%0.02
infernoC73–443%-0.01
mirageS75–271%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,567Lifetime kills
1.33K/D · Top 25% of Level 7 players
2,699Matches
47.9%Match win rate · Top 50% of Level 7 players
59.6%Headshot % · Top 10% of Level 7 players
0.0%Shot accuracy
6,791MVPs
1,227Hours (in match)
4,105Bombs planted
1,039Bombs defused

Most-used weapons

AK-4738,462
AWP1,794
MP91,174
MAC-101,083
MP7984

Lifetime map wins

5,456nuke
5,082dust2
2,631inferno
778train
131vertigo
58office
7cbble
3italy

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

Faceit stats

Combat

463Matches
50%Win rate
0.97Avg K/D
70.5ADR
42%Headshot %

Clutches & streaks

41%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage9245%0.9012.7
Nuke8848%1.0215.0
Dust27752%0.8813.3
Anubis6055%1.1815.2
Ancient5751%0.9715.3
Inferno3444%0.8814.9
Cache2962%1.0915.7
Overpass1753%0.8712.5

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.

16.5%Headshot accuracy
39.6%Accuracy (enemy spotted)
40.8%Spray accuracy
79.3%Counter-strafing
9.8°Preaim
572msReaction time
46.7%T opening success
35.0%CT opening success
0.56Enemies flashed / flash
11.6%Flash assists
8.73HE damage / grenade
13.02Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.984% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0619%17 Oct →
nuke13–50.0312%15 Oct →
cache13–60.0116%15 Oct →
anubis13–6-0.0111%15 Oct →
ancient8–130.0011%14 Oct →
anubis13–100.0013%14 Oct →
ancient7–130.0413%14 Oct →
anubis13–70.0515%14 Oct →
ancient13–70.0414%14 Oct →
anubis10–13-0.0221%13 Oct →
anubis3–13-0.068%12 Oct →
dust216–130.0229%9 Oct →
cache15–150.0414%9 Oct →
nuke13–4-0.0120%8 Oct →
anubis5–13-0.0614%7 Oct →
nuke1–13-0.0011%6 Oct →
anubis16–130.0217%6 Oct →
ancient9–13-0.0124%6 Oct →
dust213–5-0.0035%6 Oct →
inferno6–13-0.0715%5 Oct →
anubis11–13-0.0114%5 Oct →
inferno8–13-0.0419%5 Oct →
anubis13–100.1017%4 Oct →
anubis13–80.0117%4 Oct →
anubis13–2-0.0412%4 Oct →
anubis13–110.069%4 Oct →
anubis13–100.009%4 Oct →
cache10–130.0819%4 Oct →
mirage1–13-0.0717%4 Oct →
cache11–13-0.0024%3 Oct →
mirage13–70.0217%3 Oct →
nuke4–13-0.019%3 Oct →
anubis13–80.0111%2 Oct →
nuke16–140.0113%2 Oct →
anubis13–10.154%2 Oct →
cache13–90.007%1 Oct →
anubis13–40.0415%1 Oct →
ancient13–50.023%1 Oct →
nuke13–50.008%1 Oct →
nuke13–8-0.0212%1 Oct →
ancient11–13-0.0113%1 Oct →
ancient13–100.0211%1 Oct →
nuke6–13-0.0419%1 Oct →
inferno13–5-0.0517%29 Sept →
dust213–11-0.0711%29 Sept →
cache13–8-0.0519%29 Sept →
dust213–60.0419%29 Sept →
dust29–13-0.0024%25 Sept →
ancient5–13-0.0812%25 Sept →
nuke13–100.0413%25 Sept →
cache16–13-0.0611%25 Sept →
mirage13–11-0.019%25 Sept →
ancient5–13-0.0417%25 Sept →
ancient13–2-0.0111%25 Sept →
dust29–130.0216%25 Sept →
anubis6–13-0.028%25 Sept →
nuke13–6-0.0129%24 Sept →
cache13–100.0310%24 Sept →
dust213–40.0614%24 Sept →
cache13–70.0323%24 Sept →
cache1–13-0.0718%24 Sept →
anubis13–6-0.0010%24 Sept →
dust213–4-0.0318%23 Sept →
ancient13–60.0110%23 Sept →
dust213–20.0331%23 Sept →
anubis13–6-0.0013%23 Sept →
nuke15–15-0.0612%23 Sept →
anubis13–60.0813%23 Sept →
inferno13–110.0625%22 Sept →
ancient16–130.1116%22 Sept →
inferno11–130.0417%22 Sept →
mirage5–130.0124%22 Sept →
cache13–7-0.0616%22 Sept →
nuke13–110.0419%22 Sept →
mirage13–80.1219%21 Sept →
anubis10–13-0.0414%21 Sept →
ancient13–90.008%20 Sept →
nuke10–13-0.0016%20 Sept →
cache11–13-0.0316%20 Sept →
nuke13–90.0420%20 Sept →
ancient13–40.1420%19 Sept →
nuke7–13-0.0311%19 Sept →
inferno8–13-0.0122%19 Sept →
anubis7–13-0.0520%19 Sept →
mirage13–7-0.0318%19 Sept →
dust213–110.0516%19 Sept →
inferno13–4-0.049%19 Sept →
dust29–130.1432%19 Sept →
mirage13–110.0114%19 Sept →
ancient14–16-0.0316%19 Sept →
dust216–13-0.0012%19 Sept →
nuke7–13-0.027%19 Sept →
cache13–110.0214%17 Sept →
dust26–13-0.039%17 Sept →
dust213–100.0415%17 Sept →
anubis9–13-0.0516%17 Sept →
dust22–13-0.0017%17 Sept →
cache13–110.0114%17 Sept →
ancient6–13-0.049%17 Sept →
nuke9–130.0217%17 Sept →

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 →

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