paningning

paningning — CS2 Stats

76561198206566545[U:1:246300817]Steam profile ↗✓ No bans

1,879Tracked matches31%Win rate2021Tracked since
2,112Hours in CS23Hrs last 2 wks
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating13,791Blue band · top ~34.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). 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: 13,791 -2,682 7 Sept – 13 Nov · 27 days played
13,17918,290peak 18,2907 Sept13 Nov
18,290Peak Premier in tracked matches
26Days played since 2026-09-07

Premier CS Rating

  • 4,499 below peak (18,290)
  • -2,069 over 30 days · declining
  • Next: Purple band at 15,000 — 1,209 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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 4 among CSDB-tracked players (n=14,630), 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 rate35.1%42.7%43.8%8.7% short
Shot accuracy6.3%11.2%12.0%5.7% short
Kill/death ratio0.870.991.020.15 short
Match win rate40.3%43.9%44.7%4.4% 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.GGpaningningFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,791 · 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

Aim65
Positioning63
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY34–63–3Last 10034%Win rateWLWLLLLLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −0.2pp headshot accuracy · −3ms reaction

Win rate up 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 547ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 578ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 580ms

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 (+1.8 against its own average).

Aim6.5
Utility3.1
Positioning6.3
Opening Duels4.3
Clutch4.2

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

donk

Plays most like donk 87% 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 68% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 581ms 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

Aim6.5
Positioning6.3
Utility3.1
Mechanics6.5
Opening Duels7.2
Win Impact0.0

Composite 5.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time579ms+2ms
first ⅓ avg 578ms → last ⅓ avg 579ms
Headshot accuracy11.1%−0.2%
first ⅓ avg 11.3% → last ⅓ avg 11.1%

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

0.11Best match rating · 8–13 · inferno, 2 Nov →
24%Best headshot accuracy · 8–13 · mirage, 25 Sept →
398msFastest reaction time · 8–13 · inferno, 3 Nov →
13–4Biggest win · dust2, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 59% over 17mirageWeakest map · 0% over 12
MapGradePlayedRecordWin rateAvg rating
anubisC188–1044%-0.01
dust2D186–1233%0.00
cacheA1710–759%0.02
infernoD121–118%-0.01
ancientA127–558%0.01
mirageD120–120%-0.03
nukeD112–918%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 12). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,846Lifetime kills
0.87K/D
3,143Matches
40.3%Match win rate
35.1%Headshot %
6.3%Shot accuracy
5,263MVPs
1,281Hours (in match)
2,176Bombs planted
641Bombs defused

Most-used weapons

Lifetime map wins

6,802dust2
3,421inferno
3,355nuke
778train
160dust
104vertigo
23ar_shoots
19office

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

Faceit stats

Combat

287Matches
49%Win rate
0.88Avg K/D
72.4ADR
29%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis3053%1.0713.6
Ancient2868%0.9215.5
Dust22861%0.8515.1
Nuke2055%0.9414.9
Inferno862%0.9416.3
Train520%0.6613.6
Overpass1100%1.1219.0

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.

11.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
41.3%Spray accuracy
79.1%Counter-strafing
10.4°Preaim
581msReaction time
67.7%T opening success
50.1%CT opening success
0.33Enemies flashed / flash
4.5%Flash assists
6.36HE damage / grenade
7.65Flashes / 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 11.5918% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3306 — below the 0.5 mark we flag

    Grenade Lineups →
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.

0% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–100.1019%13 Nov →
inferno14–16-0.0712%13 Nov →
cache13–80.0211%13 Nov →
anubis11–13-0.0114%12 Nov →
ancient11–13-0.028%12 Nov →
mirage4–13-0.028%12 Nov →
mirage5–13-0.095%12 Nov →
inferno8–13-0.0310%12 Nov →
anubis13–110.055%12 Nov →
ancient13–70.0712%10 Nov →
mirage8–130.016%10 Nov →
mirage10–13-0.053%10 Nov →
ancient13–60.0214%10 Nov →
nuke8–130.0212%6 Nov →
dust211–13-0.0310%6 Nov →
ancient6–13-0.0711%5 Nov →
cache7–13-0.0112%5 Nov →
mirage10–13-0.0514%5 Nov →
anubis13–110.0820%5 Nov →
anubis8–13-0.075%3 Nov →
inferno8–13-0.0724%3 Nov →
anubis2–13-0.079%3 Nov →
cache6–13-0.059%2 Nov →
cache13–50.0913%2 Nov →
anubis13–110.0310%2 Nov →
inferno8–130.1120%2 Nov →
dust29–13-0.034%2 Nov →
mirage11–130.0410%2 Nov →
cache15–150.0119%24 Oct →
anubis13–6-0.0013%24 Oct →
mirage3–13-0.0110%24 Oct →
nuke7–13-0.056%24 Oct →
inferno6–13-0.026%24 Oct →
ancient8–13-0.006%23 Oct →
anubis5–13-0.068%23 Oct →
dust210–13-0.0210%23 Oct →
ancient13–100.0410%23 Oct →
cache8–130.0016%23 Oct →
nuke13–80.054%18 Oct →
anubis16–14-0.0213%18 Oct →
dust213–90.008%18 Oct →
cache13–70.0614%17 Oct →
cache13–70.069%17 Oct →
anubis7–13-0.0311%17 Oct →
nuke12–160.047%17 Oct →
anubis12–16-0.0411%16 Oct →
cache8–130.0216%16 Oct →
nuke16–140.0613%16 Oct →
inferno10–13-0.025%11 Oct →
cache13–80.038%11 Oct →
dust213–90.1113%11 Oct →
dust29–13-0.049%10 Oct →
dust213–50.0019%10 Oct →
dust213–11-0.0114%10 Oct →
dust213–40.0010%10 Oct →
dust211–13-0.0315%10 Oct →
anubis16–130.038%9 Oct →
cache13–110.019%9 Oct →
ancient6–13-0.097%9 Oct →
anubis10–13-0.0213%9 Oct →
mirage4–13-0.0915%4 Oct →
inferno6–13-0.055%4 Oct →
mirage9–13-0.0220%4 Oct →
dust210–130.0223%4 Oct →
dust25–13-0.0121%3 Oct →
dust211–130.0410%3 Oct →
cache6–13-0.0311%3 Oct →
anubis11–13-0.057%3 Oct →
inferno6–13-0.036%3 Oct →
nuke10–13-0.0212%3 Oct →
cache13–8-0.006%2 Oct →
anubis15–150.0316%2 Oct →
mirage9–13-0.006%2 Oct →
anubis3–13-0.059%2 Oct →
dust22–130.0316%2 Oct →
ancient13–90.013%29 Sept →
ancient13–60.069%29 Sept →
cache14–16-0.024%29 Sept →
dust29–130.0214%28 Sept →
cache13–60.0010%28 Sept →
ancient6–13-0.028%28 Sept →
mirage2–13-0.018%28 Sept →
ancient13–110.039%26 Sept →
nuke4–13-0.027%26 Sept →
mirage8–13-0.0224%25 Sept →
nuke6–130.0510%25 Sept →
nuke6–130.0217%25 Sept →
inferno11–13-0.0216%25 Sept →
inferno15–15-0.0313%23 Sept →
inferno16–130.0116%23 Sept →
anubis13–7-0.0110%23 Sept →
nuke5–13-0.029%18 Sept →
anubis13–110.025%18 Sept →
nuke3–13-0.0115%18 Sept →
dust211–13-0.0016%18 Sept →
ancient13–100.038%15 Sept →
dust23–13-0.0416%15 Sept →
dust213–60.0818%14 Sept →
inferno4–130.1017%14 Sept →
cache13–40.0812%14 Sept →

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.