Riconected

Riconected — CS2 Stats

GB76561198027556750[U:1:67291022]Steam profile ↗✓ No bans

2,294Tracked matches57%Win rate2020Tracked since
6,816Hours in CS0Hrs last 2 wks
CSDB Rating5.7 SolidAll-Rounder
Premier CS Rating21,420Top 50% of 204,150 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#61976 of 251234 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (14 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: 21,420 -60 18 Apr – 27 Sept · 25 days played
21,42023,885peak 23,88518 Apr27 Sept
24,302Peak Premier in tracked matches
43Days played since 2026-04-16

Premier CS Rating

  • 2,465 below peak (23,885)
  • -1,210 over 30 days · declining
  • -910 over 90 days
  • Next: Red band at 25,000 — 3,580 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches6——
Win rate83%——
K/D1.56——
Headshot %59%——

Measured 9 Sep 2026 → 11 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate41.1%50.9%
Shot accuracy17.8%13.7%
Kill/death ratio0.901.09
Match win rate47.4%48.4%

Share this profile

CSDB.GGRiconectedFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER21,420 · 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

Aim73
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY58–41–1Last 10058%Win rateLWWWWLWWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −3.8pp headshot accuracy · −23ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 542ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 578ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 590ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.3
Utility4.5
Positioning4.1
Opening Duels2.3
Clutch4.0

Limited utility dependence

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 42% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 583ms 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

Aim7.3
Positioning4.1
Utility4.5
Mechanics7.1
Opening Duels1.5
Win Impact7.2

Composite 5.7/10 (Solid), 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 rating0.00−0.04
first ⅓ avg 0.04 → last ⅓ avg 0.00
Reaction time588ms−42ms
first ⅓ avg 630ms → last ⅓ avg 588ms
Headshot accuracy30.8%+2.6%
first ⅓ avg 28.2% → last ⅓ avg 30.8%

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

0.17Best match rating · 13–3 · cache, 8 May →
67%Best headshot accuracy · 4–13 · mirage, 15 Aug →
422msFastest reaction time · 13–8 · inferno, 12 Jun →
13–2Biggest win · dust2, 16 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 82% over 11ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
anubisA2011–955%0.01
infernoS1712–571%0.03
cacheB157–847%0.03
ancientD113–827%-0.01
nukeS119–282%0.05
dust2A106–460%0.01
overpassA85–363%0.01
train—42–250%-0.02
mirage—32–167%-0.02
vertigo—11–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

216,259Lifetime kills
0.90K/D
8,111Matches
47.4%Match win rate
41.1%Headshot %
17.8%Shot accuracy · Top 25% of Level 10 players
21,197MVPs
4,704Hours (in match)
9,399Bombs planted
2,769Bombs defused

Most-used weapons

AK-4767,848
AWP48,008
P2506,151
Knife3,848
Tec-93,416

Lifetime map wins

16,012inferno
9,533nuke
7,942train
7,899dust2
1,809cbble
1,523vertigo
327office
185assault

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

Faceit stats

Combat

2,524Matches
50%Win rate
1.07Avg K/D
73.9ADR
41%Headshot %

Clutches & streaks

40%1v1 clutch win
16%1v2 clutch win
17Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis33752%1.1016.4
Nuke20657%1.1215.9
Mirage14340%0.9313.8
Ancient13747%1.0314.8
Inferno11744%1.0715.6
Train4445%1.1116.9
Overpass3546%1.0014.8
Vertigo2556%1.1717.0

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.

29.7%Headshot accuracy
30.6%Accuracy (enemy spotted)
27.4%Spray accuracy
81.9%Counter-strafing
9.8°Preaim
583msReaction time
26.9%T opening success
42.0%CT opening success
0.65Enemies flashed / flash
6.6%Flash assists
10.95HE damage / grenade
3.36Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3625 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 26.863% — below the 40% mark we flag

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.

27% 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
ancient6–130.0327%27 Sept →
nuke13–11-0.0329%27 Sept →
dust213–40.0323%6 Sept →
anubis13–8-0.0221%6 Sept →
dust213–90.0324%6 Sept →
anubis7–130.0319%31 Aug →
cache16–130.0127%31 Aug →
nuke13–70.0632%31 Aug →
cache11–13-0.0414%30 Aug →
cache4–13-0.0128%30 Aug →
dust211–13-0.0445%30 Aug →
anubis9–0-0.080%30 Aug →
anubis10–10.0929%30 Aug →
ancient10–13-0.0235%29 Aug →
inferno0–8-0.0224%16 Aug →
dust213–2-0.0317%16 Aug →
inferno13–20.0341%16 Aug →
dust213–90.0135%16 Aug →
nuke13–30.0936%15 Aug →
anubis6–13-0.0019%15 Aug →
anubis3–13-0.0523%15 Aug →
mirage4–13-0.0967%15 Aug →
inferno13–60.0135%9 Aug →
ancient13–90.0538%1 Aug →
ancient7–13-0.0123%1 Aug →
inferno4–130.0144%1 Aug →
mirage13–60.0226%31 Jul →
ancient4–13-0.0620%19 Jul →
anubis13–7-0.0228%19 Jul →
inferno13–50.0845%19 Jul →
cache13–70.0346%19 Jul →
cache7–13-0.0548%18 Jul →
anubis5–13-0.0446%18 Jul →
nuke13–5-0.0522%18 Jul →
inferno13–70.0733%17 Jul →
anubis13–2-0.0130%15 Jul →
cache6–130.0040%14 Jul →
inferno13–70.0420%4 Jul →
anubis9–13-0.0341%3 Jul →
dust25–130.0328%3 Jul →
inferno13–100.0342%3 Jul →
anubis8–13-0.0221%27 Jun →
nuke16–140.0030%27 Jun →
inferno13–110.1124%26 Jun →
anubis13–80.0815%26 Jun →
ancient5–13-0.0423%13 Jun →
nuke14–160.0235%13 Jun →
inferno13–8-0.0215%12 Jun →
anubis7–13-0.0014%7 Jun →
ancient13–70.0021%7 Jun →
inferno15–150.0334%6 Jun →
overpass13–9-0.0125%25 May →
anubis11–130.0828%25 May →
mirage13–40.0224%25 May →
nuke7–130.0332%25 May →
train8–13-0.0132%24 May →
cache13–20.0636%24 May →
inferno4–13-0.1533%23 May →
overpass6–130.0029%23 May →
overpass7–13-0.0224%23 May →
dust214–16-0.0114%17 May →
inferno13–50.0521%17 May →
anubis16–130.0425%17 May →
overpass13–90.0015%16 May →
inferno11–13-0.0133%10 May →
ancient9–13-0.0329%10 May →
dust213–50.0347%10 May →
nuke13–40.1335%10 May →
nuke16–140.0722%9 May →
cache13–80.1426%9 May →
anubis13–60.0228%8 May →
cache9–130.0357%8 May →
cache13–30.1725%8 May →
cache13–11-0.0128%30 Apr →
train4–13-0.0428%30 Apr →
cache10–130.0221%30 Apr →
cache3–130.0224%29 Apr →
cache4–130.0132%29 Apr →
cache13–90.1323%29 Apr →
dust210–13-0.0229%27 Apr →
nuke13–90.0336%26 Apr →
anubis13–50.0618%26 Apr →
overpass13–10-0.0428%25 Apr →
overpass10–130.0430%25 Apr →
ancient13–40.0539%25 Apr →
train13–7-0.0229%24 Apr →
inferno13–80.0440%23 Apr →
train13–80.0224%22 Apr →
vertigo9–60.0430%20 Apr →
ancient14–16-0.0231%19 Apr →
overpass13–90.0223%19 Apr →
anubis1–9-0.0542%19 Apr →
inferno13–80.1018%19 Apr →
anubis13–60.0017%19 Apr →
dust213–20.0739%18 Apr →
nuke13–50.1444%18 Apr →
ancient7–130.0013%18 Apr →
inferno13–70.039%18 Apr →
anubis13–110.0326%18 Apr →
overpass9–60.0813%16 Apr →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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