pianoly

pianoly — CS2 Stats

MA76561199062419443[U:1:1102153715]Steam profile ↗✓ No bans

926Tracked matches31%Win rate2023Tracked since
1,821Hours in CS12Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating15,698Purple band · top ~25.6% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,698 → 15,698
+1Tracked matches · now 926
0.0ppWin rate · 31.0% → 31.0%

Rating over time

Premier CS Rating: 15,698 +1,059 2 Aug – 9 Nov · 27 days played
14,26415,799peak 15,7992 Aug9 Nov
16,010Peak Premier in tracked matches
52Days played since 2026-08-02

Premier CS Rating

  • 101 below peak (15,799)
  • +425 over 30 days · improving
  • +699 over 90 days
  • Next: Pink band at 20,000 — 4,302 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-17
  • Blue band first seen 2026-09-17

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches3——
Win rate33%——
K/D0.74——
Headshot %59%——

Measured 9 Nov 2026 → 15 Nov 2026; no observation near 14 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 4 among CSDB-tracked players (n=14,911), 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 4 medianLevel 5 medianvs Level 5
Headshot rate38.7%42.7%43.8%5.1% short
Shot accuracy7.7%11.2%12.0%4.4% short
Kill/death ratio0.850.991.020.17 short
Match win rate34.6%43.9%44.7%10.1% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpianolyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,698 · Purple 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

Aim42
Positioning36
Utility56

0–100 skill scores via Leetify.

Recent form

COLD38–56–6Last 10038%Win rateLLWLLTLLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +1.0pp headshot accuracy · +15ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.10
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 592ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 585ms

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 (+2.5 against its own average).

Aim4.2
Utility5.6
Positioning3.6
Opening Duels0.0
Clutch3.2

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

sh1ro

Plays most like sh1ro 70% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 574ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.6
Utility5.6
Mechanics4.0
Opening Duels1.4
Win Impact0.0

Composite 3.6/10 (Learning), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time586ms+21ms
first ⅓ avg 565ms → last ⅓ avg 586ms
Headshot accuracy14.6%+1.1%
first ⅓ avg 13.5% → last ⅓ avg 14.6%

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

0.11Best match rating · 9–0 · inferno, 9 Oct →
50%Best headshot accuracy · 13–2 · vertigo, 13 Sept →
391msFastest reaction time · 1–9 · inferno, 6 Nov →
13–2Biggest win · ancient, 19 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 58% over 19trainWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA1911–858%-0.03
dust2C146–843%0.01
nukeB136–746%-0.05
officeD121–118%-0.03
mirageC104–640%-0.03
cacheD82–625%-0.04
vertigoA74–357%-0.04
trainD70–70%-0.04
ancientB63–350%-0.01
anubis—41–325%-0.04

Across the last 100 tracked matches.

Lifetime stats

44,461Lifetime kills
0.85K/D
2,945Matches
34.6%Match win rate
38.7%Headshot %
7.7%Shot accuracy
4,153MVPs
852Hours (in match)
2,794Bombs planted
356Bombs defused

Most-used weapons

AK-4711,496
AWP3,298
MP91,699
Nova1,010
AUG1,006

Lifetime map wins

3,875dust2
2,610office
1,971inferno
1,900nuke
983vertigo
654train
99italy
54ar_shoots

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

Faceit stats

Combat

42Matches
43%Win rate
0.75Avg K/D
76.3ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
24%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient633%0.8313.7
Cache580%1.5118.8
Mirage560%0.8815.0
Dust2475%1.2814.0
Nuke250%0.9012.5
Inferno20%0.366.5

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.

11.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
34.4%Spray accuracy
68.2%Counter-strafing
10.7°Preaim
574msReaction time
40.3%T opening success
30.5%CT opening success
0.64Enemies flashed / flash
5.2%Flash assists
9.44HE damage / grenade
10.33Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.863% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.5094% — 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 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0417%13 Nov →
inferno1–9-0.239%6 Nov →
inferno9–7-0.0317%6 Nov →
nuke0–6-0.1317%6 Nov →
office5–13-0.0713%6 Nov →
office12–120.0313%6 Nov →
office8–130.0414%5 Nov →
nuke6–13-0.1117%2 Nov →
dust28–130.029%30 Oct →
inferno13–60.0112%30 Oct →
vertigo9–70.0531%28 Oct →
office10–13-0.0513%28 Oct →
office11–130.0221%28 Oct →
dust213–40.0914%25 Oct →
cache11–13-0.047%22 Oct →
cache2–13-0.046%22 Oct →
cache9–13-0.074%19 Oct →
ancient13–20.0419%19 Oct →
vertigo1–5-0.100%19 Oct →
cache13–3-0.0010%19 Oct →
inferno13–80.0210%17 Oct →
inferno11–13-0.088%17 Oct →
vertigo5–9-0.0525%16 Oct →
inferno16–140.028%14 Oct →
ancient13–11-0.056%13 Oct →
inferno4–9-0.1923%9 Oct →
nuke3–9-0.1720%9 Oct →
inferno9–50.0524%9 Oct →
nuke9–6-0.0116%9 Oct →
nuke9–00.0911%9 Oct →
inferno9–2-0.0222%9 Oct →
inferno9–00.1124%9 Oct →
inferno8–8-0.0127%9 Oct →
nuke9–50.048%9 Oct →
inferno9–6-0.1215%9 Oct →
inferno9–10.094%9 Oct →
train6–130.0713%7 Oct →
train2–13-0.0316%7 Oct →
ancient9–130.0212%7 Oct →
nuke2–13-0.078%3 Oct →
nuke13–6-0.0012%2 Oct →
ancient14–16-0.0212%2 Oct →
cache10–13-0.117%30 Sept →
dust213–40.0331%30 Sept →
mirage1–13-0.029%29 Sept →
dust29–130.0916%27 Sept →
mirage7–13-0.0515%27 Sept →
nuke2–13-0.128%27 Sept →
office8–13-0.0318%27 Sept →
dust29–130.0315%26 Sept →
nuke8–130.007%25 Sept →
nuke13–2-0.0620%25 Sept →
train9–13-0.0211%24 Sept →
mirage13–10-0.064%24 Sept →
vertigo13–40.0716%23 Sept →
inferno9–7-0.065%21 Sept →
mirage4–130.0112%20 Sept →
dust213–7-0.0111%20 Sept →
dust211–13-0.0012%19 Sept →
anubis12–12-0.0018%17 Sept →
inferno13–110.0021%16 Sept →
anubis13–10-0.0811%15 Sept →
mirage13–2-0.046%14 Sept →
dust26–13-0.0611%14 Sept →
dust27–13-0.0217%13 Sept →
vertigo13–2-0.0250%13 Sept →
inferno0–13-0.0810%12 Sept →
inferno9–13-0.0115%11 Sept →
cache13–90.0217%10 Sept →
office12–12-0.0119%10 Sept →
inferno7–9-0.0220%10 Sept →
office6–13-0.0414%10 Sept →
dust27–130.008%7 Sept →
mirage13–9-0.0119%7 Sept →
office5–13-0.0811%6 Sept →
ancient16–120.0423%6 Sept →
dust213–4-0.0019%5 Sept →
office12–12-0.049%3 Sept →
office13–8-0.0212%2 Sept →
cache10–13-0.0613%27 Aug →
inferno9–130.0112%20 Aug →
dust213–80.0310%20 Aug →
dust21–13-0.0717%20 Aug →
dust213–10-0.0015%20 Aug →
mirage7–13-0.0213%20 Aug →
vertigo13–10-0.0217%19 Aug →
mirage15–15-0.0419%18 Aug →
office1–6-0.080%18 Aug →
train2–13-0.0921%16 Aug →
mirage14–16-0.0518%16 Aug →
train2–13-0.1210%15 Aug →
train2–13-0.048%15 Aug →
train0–4-0.040%12 Aug →
nuke5–13-0.009%12 Aug →
mirage13–6-0.0315%11 Aug →
vertigo3–13-0.240%11 Aug →
cache9–13-0.0124%8 Aug →
nuke13–9-0.0418%7 Aug →
anubis0–13-0.0610%5 Aug →
ancient10–13-0.0612%2 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 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.