✪ Ruggie2Play

✪ Ruggie2Play — CS2 Stats

FM76561198095704376[U:1:135438648]Steam profile ↗✓ No bans

2,231Tracked matches47%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,687 → 2,687
+8Tracked matches · now 2,231
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Faceit ELO: 2,687 +0 1 Sept – 21 Sept · 3 observations
2,6872,687peak 2,6871 Sept21 Sept
17,502Peak Premier in tracked matches
2,687Highest Faceit ELO seen on CSDB
77Days played since 2024-05-25

Faceit ELO

  • At peak — 2,687
  • Next: 3,000 ELO at 3,000 — 313 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-01
  • Level 10 first seen 2026-09-01

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.

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CSDB.GG✪ Ruggie2PlayPEAK ELO2,687csdb.gg/stats

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Performance scores

Aim69
Positioning57
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWWWLWWLWLL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +2.3pp headshot accuracy · −27ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 522ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 25%
  • Avg reaction 568ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 582ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.9
Utility3.8
Positioning5.7
Opening Duels4.3
Clutch3.4

Strong CT-side openerLimited 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 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

T-side openings. Opening success drops from 60% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9
Positioning5.7
Utility3.8
Mechanics6.4
Opening Duels4.1
Win Impact3.9

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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time604ms−12ms
first ⅓ avg 616ms → last ⅓ avg 604ms
Headshot accuracy24.4%+1.4%
first ⅓ avg 23.0% → last ⅓ avg 24.4%

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 · 13–5 · inferno, 9 Aug →
46%Best headshot accuracy · 10–13 · train, 2 Jan →
391msFastest reaction time · 13–11 · mirage, 12 Jul →
13–1Biggest win · dust2, 24 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
10–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 67% over 24trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageS2416–867%0.02
anubisA1912–763%0.01
infernoB178–947%0.01
ancientB126–650%-0.01
dust2D124–833%-0.02
nukeD72–529%0.00
trainD50–50%0.01
overpass—43–175%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

2,900Matches
52%Win rate
1.14Avg K/D
81.4ADR
54%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage36748%1.0817.3
Anubis26652%1.0517.4
Inferno23351%1.1216.9
Ancient14144%1.0216.8
Vertigo12162%1.1818.0
Nuke7853%1.0816.6
Dust26557%0.9715.6
Overpass5358%1.1818.2

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.

24.4%Headshot accuracy
31.8%Accuracy (enemy spotted)
33.2%Spray accuracy
78.9%Counter-strafing
10.0°Preaim
594msReaction time
32.5%T opening success
60.1%CT opening success
0.58Enemies flashed / flash
14.1%Flash assists
7.72HE damage / grenade
2.61Flashes / 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 2.6143 — 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 32.4822% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0527%11 Sept →
mirage13–110.0328%12 Jul →
mirage13–8-0.0231%7 Jul →
inferno10–13-0.0416%21 Feb →
overpass13–11-0.0126%12 Jan →
overpass13–5-0.0326%5 Jan →
inferno3–13-0.0915%5 Jan →
ancient16–140.0128%4 Jan →
ancient8–13-0.083%3 Jan →
train10–130.0246%2 Jan →
mirage14–160.0122%2 Jan →
ancient13–70.0319%31 Dec →
dust28–13-0.0417%31 Dec →
inferno16–14-0.0127%28 Dec →
mirage10–130.0237%26 Dec →
inferno13–40.0133%26 Dec →
ancient3–13-0.0613%23 Dec →
mirage8–100.0323%3 Dec →
overpass7–13-0.084%23 Nov →
inferno13–9-0.0129%13 Nov →
mirage13–60.0413%7 Nov →
mirage11–130.0216%7 Nov →
mirage13–60.1433%2 Nov →
overpass16–130.0529%18 Sept →
inferno13–8-0.0213%18 Sept →
dust210–13-0.0532%18 Sept →
dust29–13-0.0125%13 Sept →
train9–130.0038%9 Sept →
dust25–130.0228%23 Aug →
inferno10–130.0223%11 Aug →
train14–16-0.0221%11 Aug →
mirage13–100.0329%11 Aug →
nuke13–30.0435%9 Aug →
inferno13–50.1527%9 Aug →
ancient9–13-0.0514%8 Aug →
mirage13–110.0625%3 Aug →
mirage13–60.0319%18 Jul →
anubis13–50.0636%13 Jul →
anubis9–13-0.0435%7 Jul →
anubis4–13-0.0413%5 Jul →
ancient8–13-0.0122%4 Jul →
ancient13–40.0131%27 Jun →
anubis13–70.0226%27 Jun →
mirage13–100.0224%27 Jun →
anubis13–100.0413%27 Jun →
train9–130.0234%27 Jun →
inferno6–13-0.0226%27 Jun →
mirage13–80.0418%27 Jun →
ancient12–160.0232%26 Jun →
mirage13–110.0227%16 Jun →
inferno13–110.0132%16 Jun →
mirage13–11-0.0040%14 Jun →
nuke13–40.0340%9 Jun →
ancient13–100.0916%9 Jun →
train9–130.0132%6 Jun →
dust24–13-0.0419%31 May →
dust216–120.0221%29 May →
anubis11–130.0216%27 May →
anubis13–9-0.0118%27 May →
nuke17–190.0021%25 May →
ancient13–50.0115%24 May →
dust213–8-0.0119%23 May →
ancient13–9-0.0126%23 May →
mirage8–13-0.0015%20 May →
anubis11–13-0.0323%20 May →
mirage13–70.0732%13 May →
dust211–13-0.0521%11 May →
anubis11–13-0.0030%5 May →
nuke14–160.0424%1 May →
nuke8–13-0.0125%29 Apr →
nuke5–13-0.0421%28 Apr →
inferno13–90.0621%15 Apr →
anubis13–110.0723%12 Apr →
nuke9–13-0.0311%11 Apr →
inferno8–13-0.0122%8 Apr →
anubis22–19-0.0225%5 Apr →
inferno13–30.0927%4 Apr →
mirage13–100.0321%2 Apr →
anubis13–10-0.0335%30 Mar →
inferno11–13-0.0027%28 Mar →
anubis13–100.0418%24 Mar →
inferno4–13-0.0523%24 Mar →
mirage13–110.0121%16 Mar →
anubis5–13-0.0721%9 Mar →
anubis13–70.0228%8 Mar →
dust213–20.0018%3 Feb →
dust27–13-0.0622%2 Feb →
anubis11–130.0122%26 Dec →
dust213–10.0224%24 Dec →
mirage13–10-0.0821%21 Dec →
mirage10–130.0128%21 Dec →
dust26–130.0019%21 Jul →
inferno11–130.0211%21 Jun →
ancient3–13-0.0333%20 Jun →
anubis13–100.0329%17 Jun →
mirage10–130.0416%9 Jun →
anubis13–10-0.0218%31 May →
mirage8–13-0.0222%28 May →
anubis13–70.1223%26 May →
inferno8–13-0.0230%25 May →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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