yan

yan — CS2 Stats

76561198135625563[U:1:175359835]Steam profile ↗✓ No bans

1,461Tracked matches54%Win rate2020Tracked since
7,118Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating23,650Top 25% of 214,795 CSDB-tracked playersPink band · top ~4.5% of ranked players (population est.)
CSDB Leaderboard#36629 of 261127 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Oct 2026 (15 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: 23,650 -1,839 31 Dec – 27 Oct · 17 days played
19,51625,489peak 25,48931 Dec27 Oct
Faceit ELO: 2,330 +0 31 Aug – 16 Sept · 3 observations
2,3302,330peak 2,33031 Aug16 Sept
25,911Peak Premier in tracked matches
2,330Highest Faceit ELO seen on CSDB
38Days played since 2025-12-31

Faceit ELO

  • At peak — 2,330
  • Next: 2,500 ELO at 2,500 — 170 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier CS Rating

  • 1,839 below peak (25,489)
  • Next: Red band at 25,000 — 1,350 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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.

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate62.1%46.9%49.3%above
Shot accuracy16.8%13.0%13.4%above
Kill/death ratio1.191.081.12above
Match win rate50.5%46.7%48.5%above

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

Share this profile

CSDB.GGyanPREMIER23,650 · Pink bandPEAK ELO2,330csdb.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

Aim78
Positioning57
Utility56

0–100 skill scores via Leetify.

Recent form

COLD56–40–4Last 10056%Win rateWLLWTWLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −4.0pp headshot accuracy · +2ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 698ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 649ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 648ms

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 (+1.1 against its own average).

Aim7.8
Utility5.6
Positioning5.7
Opening Duels4.5
Clutch2.6

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 617ms 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

Aim7.8
Positioning5.7
Utility5.6
Mechanics6.4
Opening Duels4.0
Win Impact6.2

Composite 6.4/10 (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 rating0.02−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time634ms−39ms
first ⅓ avg 672ms → last ⅓ avg 634ms
Headshot accuracy22.1%−3.4%
first ⅓ avg 25.5% → last ⅓ avg 22.1%

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

0.16Best match rating · 13–4 · dust2, 15 Aug →
58%Best headshot accuracy · 13–6 · dust2, 20 Feb →
453msFastest reaction time · 13–6 · inferno, 1 Jan →
13–0Biggest win · dust2, 15 Jun →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

dust2Best map · 69% over 32infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2S3222–1069%0.02
mirageB2512–1348%0.01
ancientB158–753%0.03
infernoC125–742%0.02
anubisS64–267%-0.00
nuke—42–250%-0.02
overpass—42–250%0.02
cache—21–150%0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

313,218Lifetime kills
1.19K/D · Top 50% of Pink band
10,252Matches
50.5%Match win rate · Top 25% of Pink band
62.1%Headshot % · Top 10% of Pink band
16.8%Shot accuracy · Top 25% of Pink band
29,982MVPs
7,118Hours (in match)
9,746Bombs planted
3,067Bombs defused

Most-used weapons

AK-47155,856
AWP17,399
FAMAS6,848
P2506,320
MAC-103,586

Lifetime map wins

35,276dust2
11,379inferno
2,524train
1,631vertigo
1,621nuke
1,550cbble
2italy
1ar_monastery

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

Faceit stats

Combat

2,632Matches
51%Win rate
1.12Avg K/D
76.7ADR
53%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage27348%1.0315.4
Ancient11246%1.0514.8
Anubis11246%1.0715.7
Dust29757%1.1016.3
Inferno5749%0.9915.1
Vertigo3658%1.2017.1
Overpass1650%1.2718.0
Nuke1540%0.9114.3

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.

22.2%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.4%Spray accuracy
78.6%Counter-strafing
8.9°Preaim
617msReaction time
43.9%T opening success
48.3%CT opening success
0.54Enemies flashed / flash
8.2%Flash assists
9.63HE damage / grenade
11.02Flashes / match

Recommended for you

Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.0525%27 Oct →
ancient8–13-0.0225%27 Oct →
inferno8–130.0027%27 Oct →
nuke6–1-0.0320%27 Oct →
inferno15–15-0.0018%27 Oct →
cache13–70.0629%26 Oct →
nuke5–13-0.079%26 Oct →
anubis11–13-0.0616%26 Oct →
nuke5–130.0325%22 Aug →
cache8–130.1024%22 Aug →
dust23–13-0.0131%22 Aug →
anubis0–13-0.0714%15 Aug →
dust213–40.1617%15 Aug →
mirage15–150.0427%14 Aug →
mirage13–20.0725%14 Aug →
mirage13–5-0.0219%10 Aug →
mirage3–130.0233%10 Aug →
inferno13–80.0324%8 Aug →
dust213–10.0638%8 Aug →
mirage13–110.0628%8 Aug →
dust210–13-0.0214%17 Jun →
dust213–50.0223%17 Jun →
mirage7–13-0.0825%17 Jun →
dust23–13-0.0725%16 Jun →
dust213–70.1020%16 Jun →
inferno6–130.0130%15 Jun →
dust213–00.000%15 Jun →
mirage13–11-0.0215%15 Jun →
dust213–100.0119%15 May →
anubis13–60.0418%15 May →
mirage13–90.1321%15 May →
inferno15–150.0514%15 May →
mirage7–130.0528%15 May →
inferno11–13-0.0316%12 May →
dust213–10-0.0419%12 May →
mirage13–80.0317%12 May →
overpass16–130.0134%11 May →
ancient13–16-0.0323%11 May →
ancient13–100.0624%9 May →
dust29–130.0424%8 May →
anubis13–9-0.0023%8 May →
dust213–90.0120%8 May →
dust213–11-0.0325%8 May →
ancient13–4-0.0015%8 May →
ancient13–30.1443%8 May →
dust213–40.0526%6 May →
mirage13–70.0319%6 May →
mirage11–130.0024%5 May →
anubis13–100.1119%5 May →
nuke13–4-0.0239%5 May →
mirage3–13-0.0921%27 Apr →
overpass15–150.0229%26 Apr →
dust213–11-0.0818%25 Apr →
ancient11–13-0.0620%25 Apr →
ancient13–20.0235%25 Apr →
mirage10–130.0014%3 Apr →
ancient13–40.0818%2 Apr →
mirage13–110.0425%2 Apr →
mirage16–12-0.0525%28 Mar →
mirage8–13-0.0214%26 Mar →
ancient7–13-0.0219%18 Mar →
dust216–120.0322%18 Mar →
dust213–30.0827%18 Mar →
dust213–50.0221%13 Mar →
dust213–90.1030%10 Mar →
dust27–130.1421%7 Mar →
mirage1–13-0.0614%22 Feb →
dust213–60.0358%20 Feb →
overpass13–100.0420%20 Feb →
inferno1–130.0432%20 Feb →
ancient7–130.0525%20 Feb →
dust22–13-0.0622%20 Feb →
mirage7–13-0.0618%20 Feb →
ancient13–10.0931%18 Feb →
dust213–30.0133%18 Feb →
mirage6–13-0.0419%18 Feb →
inferno13–9-0.0221%18 Feb →
ancient13–50.0520%17 Feb →
inferno7–13-0.0617%17 Feb →
mirage8–130.1030%17 Feb →
dust28–130.0129%16 Feb →
dust213–7-0.053%16 Feb →
anubis13–9-0.0127%16 Feb →
overpass11–130.0124%16 Feb →
dust210–130.0326%16 Feb →
mirage13–80.0531%16 Feb →
dust28–13-0.0520%10 Jan →
dust213–80.0429%10 Jan →
inferno13–60.1539%10 Jan →
ancient10–130.0328%8 Jan →
ancient9–130.0419%6 Jan →
mirage13–90.0618%6 Jan →
dust213–70.0620%6 Jan →
mirage13–110.1120%1 Jan →
dust210–130.0031%1 Jan →
inferno13–60.0332%1 Jan →
mirage11–130.0129%31 Dec →
ancient13–60.0328%31 Dec →
inferno13–110.0825%31 Dec →
dust213–8-0.0316%31 Dec →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.