faveN

faveN — CS2 Stats

PROBIGGermanyRiflerSettings & gear profile →

76561198118196092[U:1:157930364]Steam profile ↗✓ No bans

2,647Tracked matches43%Win rate2020Tracked since
CSDB Rating6.8 SolidSupport
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,149 → 3,149
+13Tracked matches · now 2,647
−13.3ppWin rate · 56.7% → 43.3%

Rating over time

Faceit ELO: 3,149 +0 28 Aug – 23 Sept · 9 observations
3,1493,149peak 3,14928 Aug23 Sept
3,149Highest Faceit ELO seen on CSDB
41Days played since 2026-04-10

Faceit ELO

  • At peak — 3,149
  • 0 over 30 days · steady
  • Next: 3,500 ELO at 3,500 — 351 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-08-28
  • 2,500 ELO first seen 2026-08-28

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.

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CSDB.GGfaveN30 DAYS0 ELOPEAK ELO3,149csdb.gg/stats

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Performance scores

Aim94
Positioning59
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLLWLWLLWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −9.5pp headshot accuracy · +25ms reaction

Win rate 0pp 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 -0.00
  • Avg headshot accuracy 26%
  • Avg reaction 448ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 447ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 434ms

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 (+1.1 against its own average).

Aim9.4
Utility6.0
Positioning5.9
Opening Duels3.2
Clutch4.6

Sharp aimer

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: utility contribution, 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.4
Positioning5.9
Utility6.0
Mechanics7.0
Opening Duels2.8
Win Impact2.8

Composite 6.8/10 (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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time441ms−36ms
first ⅓ avg 478ms → last ⅓ avg 441ms
Headshot accuracy27.5%+3.3%
first ⅓ avg 24.3% → last ⅓ avg 27.5%

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

0.10Best match rating · 13–1 · inferno, 25 Apr →
50%Best headshot accuracy · 10–13 · ancient, 9 Sept →
297msFastest reaction time · 5–13 · cache, 3 Oct →
13–1Biggest win · ancient, 7 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
13–7In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 67% over 15overpassWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%-0.02
ancientB2110–1148%0.01
infernoS1510–567%0.02
cacheA138–562%-0.00
dust2A106–460%-0.01
nukeA85–363%0.01
overpassD72–529%-0.02
anubis—32–167%-0.01
fachwerk—11–0100%0.10

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,485Matches
63%Win rate
1.41Avg K/D
87.1ADR
54%Headshot %

Clutches & streaks

43%1v1 clutch win
24%1v2 clutch win
21Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient21559%1.4718.1
Mirage21255%1.4619.0
Anubis16260%1.3318.3
Dust211666%1.4419.4
Inferno5959%1.3616.8
Nuke4856%1.4120.8
Overpass3057%1.4119.1
Vertigo2454%1.4119.3

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$3,689Inventory value38ItemsFull inventory breakdown →
★ Butterfly Knife | Lore (Field-Tested)$1,012★ Sport Gloves | Vice (Field-Tested)$636★ Sport Gloves | Nocts (Battle-Scarred)$600Desert Eagle | Fennec Fox (Minimal Wear)$368M4A1-S | Printstream (Field-Tested)$290USP-S | Whiteout (Minimal Wear)$166

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

26.4%Headshot accuracy
37.9%Accuracy (enemy spotted)
44.8%Spray accuracy
81.4%Counter-strafing
8.9°Preaim
445msReaction time
33.6%T opening success
48.4%CT opening success
0.58Enemies flashed / flash
12.3%Flash assists
7.77HE damage / grenade
7.57Flashes / 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 33.63% — below the 40% mark we flag

Spend your practice time on Overpass

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0427%6 Oct →
mirage1–13-0.0822%3 Oct →
inferno13–110.0723%3 Oct →
cache5–13-0.0436%3 Oct →
inferno13–9-0.0122%2 Oct →
mirage13–16-0.107%2 Oct →
cache5–13-0.0621%2 Oct →
inferno13–11-0.0412%1 Oct →
mirage13–9-0.0121%1 Oct →
ancient11–130.0121%1 Oct →
cache13–8-0.0442%9 Sept →
ancient10–130.0050%9 Sept →
mirage7–130.0128%9 Sept →
nuke9–130.0124%8 Sept →
cache8–13-0.0523%8 Sept →
ancient5–13-0.0629%3 Sept →
cache17–19-0.0325%3 Sept →
dust213–60.0333%2 Sept →
cache13–80.0422%2 Sept →
nuke13–11-0.0530%2 Sept →
ancient13–160.0131%2 Sept →
mirage11–130.0037%2 Sept →
fachwerk13–100.1026%31 Aug →
cache13–20.0831%29 Aug →
mirage7–13-0.0519%15 Aug →
dust210–13-0.0520%15 Aug →
cache13–90.0026%15 Aug →
nuke13–80.0829%14 Aug →
ancient16–130.0233%13 Aug →
inferno1–13-0.0830%13 Aug →
cache5–13-0.0645%13 Aug →
cache13–90.0933%12 Aug →
cache13–5-0.0132%9 Aug →
ancient13–8-0.0427%9 Aug →
inferno9–13-0.0330%9 Aug →
inferno13–40.0326%9 Aug →
dust213–11-0.0022%9 Aug →
inferno13–80.0836%9 Aug →
mirage13–100.0124%9 Aug →
inferno13–60.0211%7 Aug →
mirage13–8-0.0130%7 Aug →
ancient13–10.0524%7 Aug →
nuke13–10.0631%7 Aug →
ancient9–130.0225%10 Jul →
mirage5–13-0.0017%10 Jul →
cache19–150.0130%10 Jul →
ancient13–110.0213%5 Jul →
inferno16–13-0.0018%5 Jul →
inferno9–13-0.0224%4 Jul →
ancient13–60.0118%4 Jul →
anubis13–11-0.0016%4 Jul →
mirage2–13-0.118%3 Jul →
mirage11–13-0.0231%2 Jul →
ancient16–14-0.0219%1 Jul →
cache13–30.0230%21 Jun →
dust28–13-0.0423%9 Jun →
ancient13–70.0123%9 Jun →
overpass6–13-0.0611%9 Jun →
mirage3–1-0.090%8 Jun →
inferno3–13-0.0222%8 Jun →
mirage5–12-0.078%8 Jun →
inferno13–80.0625%7 Jun →
overpass13–9-0.0120%6 Jun →
mirage8–13-0.0129%6 Jun →
nuke12–16-0.0326%5 Jun →
mirage16–120.0925%5 Jun →
dust212–5-0.028%5 Jun →
dust21–0-0.0233%5 Jun →
ancient11–130.0232%4 Jun →
overpass14–16-0.0616%4 Jun →
inferno13–70.0630%3 Jun →
nuke13–1-0.0013%2 Jun →
nuke10–13-0.0127%2 Jun →
mirage13–40.0328%31 May →
mirage13–8-0.0221%29 May →
mirage9–130.0530%9 May →
dust213–11-0.0132%9 May →
ancient6–130.0334%9 May →
anubis13–60.0724%9 May →
overpass13–16-0.0719%27 Apr →
mirage2–13-0.0919%27 Apr →
ancient19–17-0.0524%26 Apr →
mirage13–11-0.0018%26 Apr →
mirage13–11-0.0114%25 Apr →
ancient5–130.0118%25 Apr →
anubis5–13-0.0923%25 Apr →
ancient13–80.0318%25 Apr →
inferno13–10.1037%25 Apr →
overpass10–13-0.0516%25 Apr →
overpass7–130.0533%24 Apr →
dust29–13-0.0221%24 Apr →
ancient13–90.0423%24 Apr →
overpass13–80.0326%24 Apr →
mirage13–90.0117%23 Apr →
dust216–13-0.0115%23 Apr →
ancient3–13-0.0323%23 Apr →
ancient11–130.0341%16 Apr →
ancient5–130.0523%10 Apr →
inferno8–130.0227%10 Apr →
nuke13–50.0127%10 Apr →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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