Nyan

Nyan — CS2 Stats

BE76561199017478157[U:1:1057212429]Steam profile ↗✓ No bans

469Tracked matches52%Win rate2024Tracked since
440Hours in CS
CSDB Rating4.2 DevelopingSupport
Premier CS Rating8,948Light Blue band · top ~59.9% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (16 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: 8,948 -595 30 Jul – 26 Sept · 14 days played
7,6019,906peak 9,90630 Jul26 Sept
9,906Peak Premier in tracked matches
41Days played since 2026-07-29

Premier CS Rating

  • 958 below peak (9,906)
  • Next: Blue band at 10,000 — 1,052 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate43.8%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio1.000.920.98above
Match win rate44.8%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGNyanPREMIER8,948 · Light Blue 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

Aim61
Positioning33
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY47–46–7Last 10047%Win rateLWLWWWLWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −10.8pp headshot accuracy · +67ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 594ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 634ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 601ms

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).

Aim6.1
Utility3.4
Positioning3.3
Opening Duels0.2

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: aim profile, positioning 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

Areas to improve

Reaction time. 605ms 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

Aim6.1
Positioning3.3
Utility3.4
Mechanics6.7
Opening Duels0.9
Win Impact5.6

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time603ms−7ms
first ⅓ avg 610ms → last ⅓ avg 603ms
Headshot accuracy19.6%+6.7%
first ⅓ avg 12.9% → last ⅓ avg 19.6%

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

0.23Best match rating · 13–0 · train, 6 Aug →
100%Best headshot accuracy · 13–0 · nuke, 13 Sept →
406msFastest reaction time · 5–13 · office, 17 Aug →
13–0Biggest win · vertigo, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

ancientBest map · 67% over 6officeWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C188–1044%0.02
nukeC146–843%0.02
officeD142–1214%0.01
mirageD103–730%0.03
anubisB105–550%-0.01
infernoA95–456%0.01
cacheB84–450%0.04
ancientS64–267%-0.02
vertigo—44–0100%0.05
overpass—33–0100%0.06
italy—21–150%0.07
train—22–0100%0.14

Across the last 100 tracked matches.

Lifetime stats

23,600Lifetime kills
1.00K/D · Top 50% of Light Blue band
1,558Matches
44.8%Match win rate · Top 50% of Light Blue band
43.8%Headshot % · Top 50% of Light Blue band
0.0%Shot accuracy
3,427MVPs
440Hours (in match)
1,238Bombs planted
302Bombs defused

Most-used weapons

Lifetime map wins

2,272dust2
2,066inferno
1,617nuke
894vertigo
605train
424office
120italy
7ar_shoots

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

Skill profile

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

18.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
33.1%Spray accuracy
80.3%Counter-strafing
9.9°Preaim
605msReaction time
24.3%T opening success
36.8%CT opening success
0.29Enemies flashed / flash
2.3%Flash assists
15.05HE damage / grenade
5.24Flashes / 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 0.2929 — 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 24.333% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0211%26 Sept →
mirage13–40.1414%26 Sept →
dust29–130.0111%24 Sept →
dust213–8-0.0811%24 Sept →
nuke13–80.0314%23 Sept →
dust213–100.0417%23 Sept →
nuke4–13-0.0314%23 Sept →
cache13–20.1615%23 Sept →
italy7–100.1010%22 Sept →
cache13–16-0.0114%22 Sept →
dust25–130.0124%20 Sept →
cache13–40.1315%17 Sept →
office12–120.000%16 Sept →
vertigo13–00.020%16 Sept →
dust23–80.1728%16 Sept →
nuke6–10.000%16 Sept →
office4–13-0.0433%14 Sept →
office1–13-0.0733%14 Sept →
nuke13–00.05100%13 Sept →
inferno16–120.045%12 Sept →
anubis13–3-0.0819%12 Sept →
ancient13–4-0.0215%12 Sept →
nuke4–13-0.0624%12 Sept →
cache6–13-0.0415%11 Sept →
overpass9–30.1024%11 Sept →
vertigo9–70.1416%11 Sept →
anubis13–40.0621%11 Sept →
cache13–6-0.0820%11 Sept →
nuke6–130.0315%9 Sept →
ancient13–00.0884%9 Sept →
vertigo13–00.000%9 Sept →
cache9–130.0517%9 Sept →
inferno13–9-0.0210%8 Sept →
office8–13-0.0020%7 Sept →
nuke1–10.000%7 Sept →
overpass9–50.039%7 Sept →
inferno13–60.047%4 Sept →
anubis13–10-0.0114%4 Sept →
italy13–40.048%4 Sept →
cache13–20.0415%4 Sept →
dust210–130.0818%3 Sept →
office9–13-0.0318%3 Sept →
office10–13-0.020%2 Sept →
mirage13–80.0911%2 Sept →
vertigo13–10.0618%31 Aug →
ancient13–5-0.068%29 Aug →
nuke13–00.010%29 Aug →
dust213–9-0.0314%27 Aug →
dust213–100.0325%26 Aug →
dust210–130.0717%25 Aug →
overpass8–00.045%25 Aug →
dust213–50.1519%24 Aug →
office8–130.0340%24 Aug →
mirage10–13-0.0220%24 Aug →
office13–90.0217%23 Aug →
nuke13–110.0111%23 Aug →
ancient13–11-0.0024%22 Aug →
nuke12–120.0618%22 Aug →
mirage6–130.1211%22 Aug →
nuke13–00.000%21 Aug →
dust23–13-0.0019%21 Aug →
dust213–110.0325%21 Aug →
mirage6–120.0615%21 Aug →
office5–13-0.070%19 Aug →
anubis12–12-0.0219%19 Aug →
mirage4–13-0.036%19 Aug →
inferno8–130.0313%19 Aug →
dust213–80.0614%19 Aug →
inferno9–10.033%18 Aug →
train13–100.059%18 Aug →
office5–130.110%17 Aug →
office12–120.130%16 Aug →
cache7–130.0312%15 Aug →
anubis11–13-0.0312%15 Aug →
ancient4–13-0.0413%15 Aug →
mirage6–13-0.0312%15 Aug →
mirage7–00.0418%15 Aug →
mirage2–13-0.0312%15 Aug →
inferno13–60.0210%15 Aug →
anubis15–15-0.0210%15 Aug →
anubis10–13-0.0112%14 Aug →
dust24–13-0.0619%14 Aug →
dust25–13-0.0719%14 Aug →
office8–130.010%13 Aug →
inferno12–120.059%13 Aug →
inferno7–9-0.0717%13 Aug →
dust29–130.0115%11 Aug →
ancient3–13-0.0815%10 Aug →
office13–10-0.010%10 Aug →
office9–130.0950%8 Aug →
nuke13–60.0912%6 Aug →
train13–00.2317%6 Aug →
nuke10–130.0512%5 Aug →
nuke8–130.0115%5 Aug →
inferno7–130.0222%4 Aug →
dust213–80.0014%4 Aug →
anubis13–3-0.025%30 Jul →
anubis13–7-0.0221%30 Jul →
mirage6–13-0.0514%30 Jul →
anubis12–120.0314%29 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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