Pn1

Pn1 — CS2 Stats

PT76561197989543597[U:1:29277869]Steam profile ↗✓ No bans

3,119Tracked matches55%Win rate2021Tracked since
4,197Hours in CS65Hrs last 2 wks
CSDB Rating6.3 SolidPositional Player
Premier CS Rating21,043Top 50% of 205,416 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#67111 of 252653 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+429Premier CS Rating · 20,614 → 21,043

Rating over time

Premier CS Rating: 21,043 +7,658 27 Sept – 17 Oct · 20 days played
13,38521,559peak 21,55927 Sept17 Oct
21,679Peak Premier in tracked matches
20Days played since 2026-09-27

Premier CS Rating

  • 516 below peak (21,559)
  • Next: Red band at 25,000 — 3,957 to go
  • Reached: Pink band · Purple band · Blue band · 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 Level 4 among CSDB-tracked players (n=14,312), 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 rate46.1%42.7%43.7%above
Shot accuracy7.7%11.3%12.0%4.3% short
Kill/death ratio0.850.991.020.17 short
Match win rate44.2%43.9%44.7%meets

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

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.GGPn1FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,043 · Pink 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

Aim74
Positioning65
Utility17

0–100 skill scores via Leetify.

Recent form

COLD59–38–3Last 10059%Win rateLWWWLLLTLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +4.3pp headshot accuracy · −55ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 522ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 534ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 562ms

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 (+2.6 against its own average).

Aim7.4
Utility1.7
Positioning6.5
Opening Duels5.8
Clutch1.8

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 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

Strengths

T openings. 62% 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.

Reaction time. 555ms 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

Aim7.4
Positioning6.5
Utility1.7
Mechanics6.8
Opening Duels7.5
Win Impact6.7

Composite 6.3/10 (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 rating0.01−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time557ms−3ms
first ⅓ avg 560ms → last ⅓ avg 557ms
Headshot accuracy21.6%−1.6%
first ⅓ avg 23.2% → last ⅓ avg 21.6%

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

0.15Best match rating · 13–1 · mirage, 30 Sept →
44%Best headshot accuracy · 1–13 · mirage, 6 Oct →
438msFastest reaction time · 6–13 · mirage, 16 Oct →
13–0Biggest win · anubis, 9 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
13–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

cacheBest map · 67% over 9infernoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2S3221–1166%0.02
mirageB2513–1252%0.01
anubisA159–660%0.02
infernoC104–640%0.00
cacheS96–367%-0.01
ancientS64–267%0.02
nuke—32–167%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

85,926Lifetime kills
0.85K/D
5,262Matches
44.2%Match win rate · Top 50% of Level 4 players
46.1%Headshot % · Top 50% of Level 4 players
7.7%Shot accuracy
11,508MVPs
2,167Hours (in match)
4,302Bombs planted
695Bombs defused

Most-used weapons

AWP22,967
AK-4719,284
P904,405
SSG 082,491

Lifetime map wins

24,880dust2
3,661inferno
2,254nuke
402vertigo
395train
58lake
46cbble
22bank

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

Faceit stats

Combat

304Matches
50%Win rate
1.01Avg K/D
85.2ADR
51%Headshot %

Clutches & streaks

29%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10348%0.9816.0
Dust29558%1.1516.7
Ancient3549%0.9415.9
Anubis2450%1.0116.8
Inferno1267%1.1616.7
Nuke1030%0.7712.2
Cache30%0.8314.3
Train250%0.9613.5

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.

21.0%Headshot accuracy
32.1%Accuracy (enemy spotted)
27.5%Spray accuracy
80.4%Counter-strafing
7.2°Preaim
555msReaction time
61.7%T opening success
58.0%CT opening success
0.26Enemies flashed / flash
1.2%Flash assists
6.39HE damage / grenade
1.26Flashes / 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 0.2606 — below the 0.5 mark we flag

    Grenade Lineups →
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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis9–130.0535%17 Oct →
dust213–100.0818%17 Oct →
mirage13–10-0.0118%17 Oct →
dust213–10-0.0414%17 Oct →
mirage10–130.0117%17 Oct →
dust22–13-0.0628%17 Oct →
mirage6–13-0.0333%16 Oct →
ancient15–150.0429%16 Oct →
mirage11–13-0.0123%16 Oct →
inferno8–130.0027%15 Oct →
ancient5–13-0.0112%15 Oct →
cache16–13-0.0318%15 Oct →
dust29–130.0124%15 Oct →
anubis3–13-0.067%14 Oct →
anubis13–6-0.0127%14 Oct →
dust213–20.0138%14 Oct →
mirage6–13-0.0312%14 Oct →
ancient13–110.0311%14 Oct →
dust213–90.0131%14 Oct →
cache13–5-0.0121%14 Oct →
anubis10–130.037%14 Oct →
dust23–13-0.0329%13 Oct →
mirage11–13-0.0424%13 Oct →
mirage13–100.0220%12 Oct →
inferno13–50.0016%12 Oct →
anubis13–10.1015%12 Oct →
dust213–11-0.0032%12 Oct →
anubis13–50.1310%12 Oct →
dust213–100.1028%11 Oct →
dust216–12-0.038%11 Oct →
cache13–50.0030%11 Oct →
mirage16–140.0226%11 Oct →
cache0–13-0.0525%11 Oct →
dust23–13-0.0512%11 Oct →
dust213–160.0229%11 Oct →
nuke16–14-0.0413%11 Oct →
dust213–8-0.0522%11 Oct →
ancient13–4-0.0116%11 Oct →
mirage13–80.0215%11 Oct →
inferno13–110.1019%11 Oct →
mirage15–15-0.0017%11 Oct →
dust29–130.0329%10 Oct →
inferno9–13-0.0018%10 Oct →
mirage9–13-0.0119%10 Oct →
cache16–140.0214%9 Oct →
dust28–130.0025%9 Oct →
dust213–80.1115%9 Oct →
dust210–130.1336%9 Oct →
dust213–60.108%9 Oct →
dust213–8-0.0016%9 Oct →
anubis13–0-0.0531%9 Oct →
mirage13–80.0020%9 Oct →
nuke6–13-0.0619%8 Oct →
mirage13–100.0432%8 Oct →
cache13–5-0.0417%8 Oct →
dust213–60.0225%8 Oct →
mirage6–130.0221%7 Oct →
dust211–13-0.0223%7 Oct →
dust213–90.0615%7 Oct →
inferno4–13-0.0421%7 Oct →
cache13–110.0123%7 Oct →
inferno12–16-0.0127%6 Oct →
mirage1–13-0.0444%6 Oct →
ancient16–140.0516%6 Oct →
dust213–60.0135%6 Oct →
inferno13–9-0.0115%5 Oct →
mirage15–15-0.0720%5 Oct →
anubis13–9-0.0215%5 Oct →
inferno13–110.0217%5 Oct →
mirage13–10-0.0133%5 Oct →
mirage13–60.0123%5 Oct →
inferno11–130.0220%5 Oct →
dust216–14-0.0116%5 Oct →
nuke13–110.0421%4 Oct →
anubis13–100.0716%4 Oct →
mirage13–30.1318%4 Oct →
anubis13–100.0317%4 Oct →
mirage13–110.0118%4 Oct →
dust213–50.1034%4 Oct →
cache13–160.0018%3 Oct →
anubis12–16-0.0330%1 Oct →
inferno4–13-0.0819%1 Oct →
anubis11–13-0.0413%1 Oct →
dust213–10.0436%30 Sept →
mirage13–10.1525%30 Sept →
anubis13–80.0338%30 Sept →
cache11–130.0224%30 Sept →
mirage16–120.0223%30 Sept →
anubis13–100.0419%29 Sept →
dust213–60.0721%29 Sept →
mirage5–13-0.0236%29 Sept →
anubis8–13-0.0325%28 Sept →
ancient13–00.0217%28 Sept →
mirage13–80.0141%28 Sept →
dust28–130.0026%27 Sept →
mirage8–130.0418%27 Sept →
dust213–10.1017%27 Sept →
dust27–130.0423%27 Sept →
dust213–11-0.0230%27 Sept →
dust213–30.0418%27 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 →

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