panpqn

panpqn — CS2 Stats

US76561198313575294[U:1:353309566]Steam profile ↗✓ No bans

305Tracked matches45%Win rate2020Tracked since
502Hours in CS
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 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: 10,000 +0 3 Aug – 15 Oct · 32 days played
9,48411,884peak 11,8843 Aug15 Oct
11,884Peak Premier in tracked matches
29Days played since 2026-08-03

Premier CS Rating

  • 1,884 below peak (11,884)
  • -600 over 30 days · declining
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches27——
Win rate44%——
K/D0.85——
Headshot %64%——

Measured 12 Sep 2026 → 16 Oct 2026; no observation near 60 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate46.2%42.0%44.3%above
Shot accuracy20.4%9.6%11.9%above
Kill/death ratio1.050.981.03meets
Match win rate44.7%43.8%45.2%meets

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

Share this profile

CSDB.GGpanpqnPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning58
Utility5

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLWWWLLLLLL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +1.0pp headshot accuracy · −12ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 32%
  • Avg reaction 586ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 29%
  • Avg reaction 625ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 28%
  • Avg reaction 631ms

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 (+2.5 against its own average).

Aim8.1
Utility0.5
Positioning5.8
Opening Duels3.5

Limited 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

s1mple

Plays most like s1mple 69% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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.

Reaction time. 638ms 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

Aim8.1
Positioning5.8
Utility0.5
Mechanics7.9
Opening Duels5.2
Win Impact3.3

Composite 5.4/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time639ms−56ms
first ⅓ avg 695ms → last ⅓ avg 639ms
Headshot accuracy29.0%−0.2%
first ⅓ avg 29.2% → last ⅓ avg 29.0%

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 · 13–5 · nuke, 6 Aug →
67%Best headshot accuracy · 6–13 · ancient, 6 Aug →
430msFastest reaction time · 13–7 · mirage, 14 Oct →
13–1Biggest win · mirage, 17 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
1–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 59% over 17ancientWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2210–1245%-0.01
nukeB189–950%-0.01
dust2A1710–759%-0.02
cacheB115–645%0.01
ancientD112–918%-0.02
anubisC104–640%-0.05
infernoA95–456%-0.02
vertigo—20–20%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,993Lifetime kills
1.05K/D · Top 50% of Blue band
1,387Matches
44.7%Match win rate · Top 50% of Blue band
46.2%Headshot % · Top 50% of Blue band
20.4%Shot accuracy · Top 5% of Blue band
3,539MVPs
502Hours (in match)
1,211Bombs planted
258Bombs defused

Most-used weapons

Lifetime map wins

2,994dust2
1,468inferno
1,224nuke
429train
348vertigo
104lake
71cbble
39office

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

Faceit stats

Combat

67Matches
45%Win rate
1.07Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWW

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.

29.7%Headshot accuracy
34.8%Accuracy (enemy spotted)
32.8%Spray accuracy
85.5%Counter-strafing
9.3°Preaim
638msReaction time
54.0%T opening success
47.4%CT opening success
0.01Enemies flashed / flash
0.0%Flash assists
6.58HE damage / grenade
0.35Flashes / 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 0.007 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0432%15 Oct →
nuke13–70.0736%15 Oct →
mirage13–7-0.0315%14 Oct →
cache13–70.0131%14 Oct →
anubis3–13-0.1344%14 Oct →
mirage1–13-0.138%13 Oct →
inferno7–13-0.0643%9 Oct →
anubis9–13-0.068%9 Oct →
dust211–13-0.0725%9 Oct →
cache10–13-0.0145%8 Oct →
mirage13–90.0620%8 Oct →
cache13–5-0.0247%8 Oct →
inferno13–50.0829%30 Sept →
nuke7–13-0.0622%27 Sept →
ancient11–130.0432%27 Sept →
ancient11–13-0.0527%24 Sept →
mirage13–9-0.0122%21 Sept →
dust213–60.0432%21 Sept →
mirage5–13-0.0724%19 Sept →
ancient15–150.0423%19 Sept →
inferno9–13-0.0717%19 Sept →
ancient13–10-0.0137%19 Sept →
nuke16–120.0040%19 Sept →
mirage5–13-0.0329%19 Sept →
mirage9–13-0.0424%18 Sept →
nuke9–13-0.0532%17 Sept →
mirage13–7-0.0130%17 Sept →
inferno9–3-0.0338%16 Sept →
dust213–110.0737%16 Sept →
mirage10–130.0555%16 Sept →
dust213–5-0.0819%21 Aug →
ancient13–8-0.0623%21 Aug →
mirage9–13-0.0711%21 Aug →
vertigo7–9-0.176%21 Aug →
vertigo8–80.0313%21 Aug →
anubis13–100.0621%20 Aug →
mirage13–80.0629%20 Aug →
dust213–7-0.0233%20 Aug →
mirage8–130.0226%20 Aug →
mirage13–5-0.0323%19 Aug →
inferno13–7-0.0331%19 Aug →
ancient8–13-0.0130%19 Aug →
mirage7–130.0124%19 Aug →
cache11–130.0333%19 Aug →
nuke16–13-0.0230%18 Aug →
ancient1–13-0.086%18 Aug →
mirage10–13-0.0419%18 Aug →
anubis13–6-0.0221%18 Aug →
dust213–60.0026%18 Aug →
anubis6–13-0.1013%18 Aug →
nuke13–6-0.087%18 Aug →
cache13–90.0736%18 Aug →
nuke7–13-0.0434%18 Aug →
anubis1–10-0.1017%18 Aug →
nuke5–13-0.0525%17 Aug →
nuke15–15-0.0328%17 Aug →
cache13–90.0447%17 Aug →
mirage13–10.0437%17 Aug →
mirage13–20.0825%17 Aug →
cache13–90.0354%16 Aug →
anubis13–7-0.0731%16 Aug →
mirage16–12-0.0428%15 Aug →
cache11–13-0.0434%15 Aug →
inferno1–13-0.0447%13 Aug →
nuke7–13-0.0344%13 Aug →
nuke13–8-0.0325%13 Aug →
cache4–13-0.0152%13 Aug →
nuke13–8-0.0229%13 Aug →
anubis13–8-0.0327%13 Aug →
dust24–13-0.0140%12 Aug →
dust27–13-0.0121%12 Aug →
nuke3–13-0.0226%12 Aug →
anubis15–150.0323%12 Aug →
inferno5–13-0.0421%11 Aug →
inferno13–80.0912%11 Aug →
dust213–40.0647%11 Aug →
dust24–13-0.0532%10 Aug →
cache11–130.0359%10 Aug →
inferno13–5-0.0429%10 Aug →
dust213–70.0343%9 Aug →
mirage7–13-0.120%9 Aug →
dust210–13-0.0919%9 Aug →
dust27–13-0.0723%7 Aug →
dust213–50.0153%7 Aug →
ancient6–13-0.1267%6 Aug →
dust213–8-0.0717%6 Aug →
ancient15–15-0.0215%6 Aug →
nuke13–50.1424%6 Aug →
dust213–16-0.0423%5 Aug →
mirage11–130.0224%5 Aug →
nuke13–8-0.0139%5 Aug →
dust213–50.0113%5 Aug →
nuke7–130.0144%5 Aug →
ancient7–13-0.0733%5 Aug →
nuke13–4-0.0131%5 Aug →
ancient9–130.0630%3 Aug →
nuke9–13-0.0529%3 Aug →
anubis7–13-0.0427%3 Aug →
mirage13–5-0.0222%3 Aug →
mirage10–130.0223%3 Aug →

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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