Ferxxo

Ferxxo — CS2 Stats

AR76561198993784728[U:1:1033519000]Steam profile ↗✓ No bans

914Tracked matches62%Win rate2021Tracked since
3,688Hours in CS3Hrs last 2 wks
CSDB Rating6.7 SolidSupport
Premier CS Rating25,105Top 25% of 215,386 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#21215 of 261516 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (41 days ago). Ranks are recorded once per day this page is viewed.

+105Premier CS Rating · 25,000 → 25,105
+5Tracked matches · now 914
+3.4ppWin rate · 58.6% → 62.1%

Rating over time

Premier CS Rating: 25,000 +1 19 Aug – 4 Oct · 12 days played
24,99925,461peak 25,46119 Aug4 Oct
25,461Peak Premier in tracked matches
44Days played since 2026-06-30

Premier CS Rating

  • 356 below peak (25,461)
  • -234 over 30 days · steady
  • Next: Gold band at 30,000 — 4,895 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-23
  • Pink band first seen 2026-09-23

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate47.8%43.8%44.8%above
Shot accuracy12.3%12.0%12.4%meets
Kill/death ratio1.231.021.03above
Match win rate56.9%44.7%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGFerxxoFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER25,105 · Red 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

Aim81
Positioning46
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY64–34–2Last 10064%Win rateWLWWLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −2.8pp headshot accuracy · +3ms reaction

Win rate down 30pp 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 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 608ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 552ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 550ms

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).

Aim8.1
Utility5.4
Positioning4.6
Opening Duels1.0
Clutch3.6

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 49% on T to 33% on CT — first contacts on the defending side are being lost.

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

Aim8.1
Positioning4.6
Utility5.4
Mechanics6.8
Opening Duels2.7
Win Impact9.0

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time515ms−66ms
first ⅓ avg 581ms → last ⅓ avg 515ms
Headshot accuracy24.0%−3.4%
first ⅓ avg 27.4% → last ⅓ avg 24.0%

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 · 13–6 · nuke, 15 Aug →
45%Best headshot accuracy · 6–13 · cache, 9 Jul →
219msFastest reaction time · 4–0 · dust2, 3 Jul →
13–0Biggest win · train, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 80% over 10dust2Weakest map · 52% over 29
MapGradePlayedRecordWin rateAvg rating
dust2B2915–1452%-0.02
mirageA2113–862%-0.02
infernoA127–558%-0.02
nukeS107–370%-0.00
cacheS108–280%-0.01
ancientS54–180%-0.01
anubisS54–180%-0.02
train—43–175%0.02
vertigo—21–150%-0.06
office—11–0100%0.02
boulder—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (52% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,859Lifetime kills
1.23K/D · Top 25% of Level 5 players
6,053Matches
56.9%Match win rate · Top 5% of Level 5 players
47.8%Headshot % · Top 50% of Level 5 players
12.3%Shot accuracy · Top 50% of Level 5 players
15,118MVPs
2,119Hours (in match)
6,746Bombs planted
1,968Bombs defused

Most-used weapons

AK-4734,798
AWP8,274
MP92,051
FAMAS1,994
MAC-101,557

Lifetime map wins

19,528dust2
7,013inferno
5,278nuke
2,585vertigo
1,174train
242cbble
158office
153lake

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

Faceit stats

Combat

101Matches
61%Win rate
1.18Avg K/D
69.7ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
8%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1861%0.8511.4
Dust21182%0.9614.8
Anubis850%1.0814.5
Inferno683%1.6915.2
Nuke683%1.8612.2
Vertigo250%0.8610.5
Cache1100%0.565.0

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.

25.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
35.1%Spray accuracy
80.5%Counter-strafing
7.9°Preaim
547msReaction time
48.9%T opening success
32.8%CT opening success
0.54Enemies flashed / flash
6.0%Flash assists
7.55HE damage / grenade
9.79Flashes / 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 32.7982% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0124%3 Nov →
mirage10–13-0.0622%29 Oct →
dust213–30.0822%25 Oct →
mirage13–50.0527%25 Oct →
nuke4–13-0.0521%26 Sept →
dust20–3-0.090%26 Sept →
mirage11–13-0.0320%24 Sept →
dust213–9-0.0424%24 Sept →
dust26–13-0.1425%23 Sept →
dust27–13-0.0928%21 Sept →
inferno13–3-0.0340%20 Sept →
dust23–13-0.0733%20 Sept →
mirage8–13-0.0214%20 Sept →
nuke13–10-0.0120%18 Sept →
ancient13–9-0.0014%18 Sept →
nuke9–13-0.0725%18 Sept →
dust213–10.0213%18 Sept →
anubis13–30.0427%17 Sept →
dust213–40.0535%17 Sept →
dust213–10-0.0319%16 Sept →
mirage11–130.0436%16 Sept →
mirage13–4-0.1031%16 Sept →
inferno12–12-0.0326%16 Sept →
cache13–1-0.0145%16 Sept →
inferno13–90.0227%15 Sept →
dust26–3-0.0322%15 Sept →
mirage13–5-0.0223%15 Sept →
mirage2–10-0.0522%13 Sept →
nuke13–30.0620%13 Sept →
dust213–110.0136%13 Sept →
ancient13–6-0.0121%11 Sept →
dust20–13-0.0217%11 Sept →
mirage5–3-0.0613%9 Sept →
dust22–13-0.0416%8 Sept →
ancient13–1-0.0332%8 Sept →
mirage13–50.0019%8 Sept →
nuke13–7-0.0421%8 Sept →
ancient13–50.0419%8 Sept →
dust213–40.0632%8 Sept →
inferno5–13-0.1112%8 Sept →
cache8–0-0.0318%8 Sept →
cache13–3-0.0623%7 Sept →
dust213–11-0.0216%6 Sept →
dust210–13-0.1114%5 Sept →
dust213–5-0.0017%3 Sept →
train13–00.0412%3 Sept →
inferno13–10.0526%3 Sept →
mirage13–7-0.0222%3 Sept →
ancient5–13-0.0518%2 Sept →
anubis13–2-0.0124%2 Sept →
mirage9–13-0.0827%2 Sept →
cache13–2-0.018%30 Aug →
anubis13–1-0.0219%26 Aug →
mirage13–7-0.0320%26 Aug →
dust210–130.0319%26 Aug →
nuke13–110.0139%26 Aug →
dust213–1-0.0027%26 Aug →
dust211–13-0.0436%24 Aug →
inferno5–13-0.0029%23 Aug →
mirage13–7-0.0429%23 Aug →
nuke15–15-0.0516%21 Aug →
dust216–13-0.0333%20 Aug →
dust213–20.0433%20 Aug →
inferno7–13-0.0522%20 Aug →
nuke13–40.0223%20 Aug →
mirage13–7-0.0428%19 Aug →
dust210–13-0.0325%19 Aug →
anubis13–7-0.0029%19 Aug →
mirage7–10.0429%19 Aug →
nuke13–6-0.0033%19 Aug →
inferno0–13-0.0631%19 Aug →
mirage13–20.0225%19 Aug →
train13–4-0.0126%17 Aug →
mirage13–100.0424%17 Aug →
inferno13–5-0.0440%16 Aug →
cache13–6-0.0435%16 Aug →
nuke13–60.1130%15 Aug →
dust23–13-0.1014%9 Aug →
mirage5–13-0.0727%9 Aug →
dust29–13-0.0329%2 Aug →
train13–40.0622%2 Aug →
inferno13–100.0422%2 Aug →
dust28–13-0.0421%2 Aug →
train4–130.0033%1 Aug →
anubis3–13-0.1127%30 Jul →
vertigo13–3-0.0632%29 Jul →
vertigo11–13-0.0723%29 Jul →
cache13–9-0.0318%28 Jul →
mirage13–20.0135%27 Jul →
mirage0–12-0.0517%27 Jul →
cache13–30.0729%27 Jul →
dust21–10-0.0317%26 Jul →
dust213–80.0431%12 Jul →
office13–50.0228%12 Jul →
boulder13–10.0626%12 Jul →
cache6–130.0845%9 Jul →
cache13–9-0.0111%5 Jul →
dust24–00.0433%3 Jul →
cache9–13-0.0433%3 Jul →
inferno13–11-0.0230%30 Jun →

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 →

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