RN | ия

RN | ия — CS2 Stats

RU76561198272822564[U:1:312556836]Steam profile ↗✓ No bans

1,573Tracked matches44%Win rate2020Tracked since
2,827Hours in CS
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,036 -1,859 10 Dec – 25 Jan · 6 days played
16,58118,895peak 18,89510 Dec25 Jan
19,564Peak Premier in tracked matches
43Days played since 2024-12-10

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 rate46.8%43.8%44.8%above
Shot accuracy20.4%12.0%12.4%above
Kill/death ratio1.071.021.03above
Match win rate45.0%44.7%45.2%meets

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.GGRN | ияFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.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

Aim68
Positioning57
Utility37

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateTLLLWWLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −0.9pp headshot accuracy · +21ms reaction

Win rate down 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

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 566ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 581ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 570ms

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 (+2.2 against its own average).

Aim6.8
Utility3.7
Positioning5.7
Opening Duels3.8
Clutch1.0

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

m0NESY

Plays most like m0NESY 91% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

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 53% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.8
Positioning5.7
Utility3.7
Mechanics5.7
Opening Duels3.8
Win Impact3.1

Composite 5.3/10 (Developing), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time600ms−3ms
first ⅓ avg 602ms → last ⅓ avg 600ms
Headshot accuracy21.7%+2.6%
first ⅓ avg 19.0% → last ⅓ avg 21.7%

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

0.14Best match rating · 13–2 · overpass, 3 Mar →
48%Best headshot accuracy · 8–13 · cache, 30 Sept →
438msFastest reaction time · 10–13 · cache, 8 Sept →
13–0Biggest win · inferno, 19 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–12In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 73% over 11mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC249–1538%0.01
anubisC125–742%-0.00
dust2S118–373%0.03
infernoA117–464%0.01
ancientD102–820%0.02
vertigoD103–730%-0.01
mirageD61–517%-0.01
overpassB63–350%0.05
office—41–325%0.03
nuke—31–233%0.02
train—31–233%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

139,049Lifetime kills
1.07K/D · Top 50% of Level 5 players
7,457Matches
45.0%Match win rate · Top 50% of Level 5 players
46.8%Headshot % · Top 50% of Level 5 players
20.4%Shot accuracy · Top 5% of Level 5 players
19,446MVPs
2,827Hours (in match)
5,282Bombs planted
1,798Bombs defused

Most-used weapons

Lifetime map wins

3,712cbble
3,230inferno
2,975dust2
1,424vertigo
706nuke
501train
108office
77lake

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

Faceit stats

Combat

226Matches
50%Win rate
1.18Avg K/D
87.0ADR
45%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Cache250%1.5421.5
Mirage10%0.7213.0
Ancient1100%0.8012.0

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.

21.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
38.2%Spray accuracy
75.5%Counter-strafing
9.5°Preaim
593msReaction time
37.5%T opening success
52.7%CT opening success
0.42Enemies flashed / flash
5.4%Flash assists
9.62HE damage / grenade
2.16Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4212 — below the 0.5 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 37.5255% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–12-0.0115%12 Oct →
cache6–130.0914%12 Oct →
cache7–13-0.0121%30 Sept →
cache8–130.0048%30 Sept →
cache13–110.0424%29 Sept →
cache13–4-0.0317%11 Sept →
cache11–130.0215%11 Sept →
cache10–130.0826%11 Sept →
cache10–13-0.0215%9 Sept →
cache11–13-0.0317%9 Sept →
cache13–100.0026%8 Sept →
cache10–130.0322%8 Sept →
cache4–13-0.0425%7 Sept →
cache13–6-0.0014%7 Sept →
cache12–12-0.0024%13 Jun →
cache13–110.0122%13 Jun →
cache7–13-0.0126%26 May →
cache11–130.0427%16 May →
cache12–120.0014%16 May →
cache13–110.0219%8 May →
cache8–13-0.069%8 May →
cache13–5-0.0120%8 May →
cache13–50.0820%7 May →
cache13–11-0.0316%7 May →
anubis8–13-0.0212%2 Mar →
mirage10–13-0.0427%2 Mar →
ancient5–13-0.0116%2 Mar →
dust213–70.0726%28 Feb →
overpass16–120.0136%28 Feb →
mirage13–50.0521%28 Feb →
inferno13–8-0.0324%28 Feb →
dust213–50.1031%26 Feb →
mirage10–130.0427%26 Feb →
ancient11–13-0.0226%25 Feb →
overpass8–13-0.0130%25 Feb →
anubis4–13-0.0224%25 Feb →
inferno13–70.0630%25 Feb →
inferno6–13-0.0317%25 Feb →
ancient13–10.1026%23 Feb →
inferno2–130.0222%23 Feb →
overpass5–130.0223%12 Jan →
nuke12–120.0543%12 Jan →
ancient10–13-0.0117%27 Oct →
dust213–10.0228%18 Oct →
ancient8–130.0029%18 Oct →
vertigo6–13-0.0525%18 Oct →
anubis13–90.0222%18 Oct →
anubis11–13-0.0218%2 Oct →
vertigo6–13-0.0126%31 Jul →
office11–130.0126%12 Jul →
dust213–11-0.0018%20 May →
overpass13–100.0623%20 May →
vertigo8–13-0.0126%16 May →
vertigo13–30.0326%29 Apr →
vertigo11–130.0323%29 Apr →
dust213–30.0122%7 Apr →
vertigo3–13-0.0525%7 Apr →
anubis11–13-0.0117%6 Apr →
inferno13–30.0227%6 Apr →
office6–130.0313%6 Apr →
vertigo13–20.0917%6 Apr →
train10–130.0013%6 Apr →
mirage8–13-0.0415%6 Apr →
anubis9–10.0121%25 Mar →
dust213–20.0314%25 Mar →
inferno8–130.0442%6 Mar →
nuke9–13-0.0117%6 Mar →
anubis13–7-0.0511%6 Mar →
anubis10–130.0216%6 Mar →
office13–60.0622%3 Mar →
vertigo13–20.0115%3 Mar →
overpass13–20.1411%3 Mar →
vertigo10–13-0.0122%24 Feb →
inferno13–7-0.0011%15 Feb →
inferno13–100.0220%25 Jan →
vertigo10–13-0.0813%18 Jan →
mirage7–13-0.0119%10 Jan →
anubis13–60.0022%10 Jan →
ancient10–130.0227%2 Jan →
train9–13-0.0617%19 Dec →
inferno13–00.0721%19 Dec →
dust213–60.0219%19 Dec →
dust211–130.0518%18 Dec →
anubis13–80.0524%15 Dec →
dust26–13-0.0228%15 Dec →
overpass7–130.0530%15 Dec →
nuke13–80.0225%15 Dec →
ancient13–100.0521%14 Dec →
ancient7–13-0.0227%14 Dec →
mirage11–13-0.0514%14 Dec →
inferno11–13-0.0318%14 Dec →
ancient14–160.0111%14 Dec →
ancient12–120.0318%13 Dec →
office4–130.0329%13 Dec →
dust29–130.0422%13 Dec →
train13–10-0.0219%13 Dec →
anubis7–13-0.056%10 Dec →
anubis8–130.0113%10 Dec →
dust213–100.0418%10 Dec →
inferno13–9-0.0122%10 Dec →

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.