Pennanen

Pennanen — CS2 Stats

JM76561197991793703[U:1:31527975]Steam profile ↗✓ No bans

1,528Tracked matches53%Win rate2020Tracked since
5,664Hours in CS56Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
Premier CS Rating15,669Purple band · top ~25.7% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (10 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: 15,669 +863 3 Sept – 26 Oct · 21 days played
14,80618,420peak 18,4203 Sept26 Oct
18,420Peak Premier in tracked matches
35Days played since 2026-09-03

Premier CS Rating

  • 2,751 below peak (18,420)
  • -2,397 over 30 days · declining
  • Next: Pink band at 20,000 — 4,331 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-03

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 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate40.2%44.8%45.7%5.5% short
Shot accuracy13.7%12.4%12.7%above
Kill/death ratio0.941.031.050.12 short
Match win rate41.7%45.2%45.7%4.0% short

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPennanenFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,669 · 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

Aim41
Positioning57
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52–46–2Last 10052%Win rateLLLWLLWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +2.0pp headshot accuracy · −26ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 542ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 545ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 558ms

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 (+1.4 against its own average).

Aim4.1
Utility5.9
Positioning5.7
Opening Duels1.7
Clutch4.6

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

iM

Plays most like iM 66% 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

CT openings. Opening success drops from 55% on T to 34% on CT — first contacts on the defending side are being lost.

Counter-strafing. Only 65% 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

Aim4.1
Positioning5.7
Utility5.9
Mechanics3.4
Opening Duels3.6
Win Impact6.1

Composite 4.7/10 (Developing), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time544ms+7ms
first ⅓ avg 537ms → last ⅓ avg 544ms
Headshot accuracy14.9%−2.1%
first ⅓ avg 17.0% → last ⅓ avg 14.9%

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 · 13–10 · ancient, 25 Sept →
36%Best headshot accuracy · 9–13 · inferno, 16 Oct →
398msFastest reaction time · 13–7 · ancient, 20 Sept →
13–1Biggest win · ancient, 31 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
5–8In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 73% over 22cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
ancientS2216–673%0.02
nukeA2213–959%0.01
anubisC198–1142%-0.01
infernoA148–657%0.00
dust2D103–730%-0.03
cacheD82–625%-0.02
mirageC52–340%0.00

Across the last 100 tracked matches.

Lifetime stats

97,951Lifetime kills
0.94K/D
5,831Matches
41.7%Match win rate
40.2%Headshot %
13.7%Shot accuracy · Top 50% of Level 6 players
10,826MVPs
2,585Hours (in match)
8,021Bombs planted
1,615Bombs defused

Most-used weapons

AK-4724,904
P906,940
MAC-104,815
P2504,535
MP94,383
AWP3,804
MP72,933

Lifetime map wins

9,087dust2
6,925nuke
5,995inferno
993vertigo
912train
389cbble
355office
80militia

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

Faceit stats

Combat

260Matches
51%Win rate
1.06Avg K/D
77.5ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
29%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke5048%1.0314.2
Inferno4652%0.9914.1
Ancient4551%1.1316.6
Anubis3345%0.9414.6
Dust22250%1.0514.9
Cache2162%1.1112.8
Mirage1331%1.1714.6

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.

15.3%Headshot accuracy
31.2%Accuracy (enemy spotted)
35.0%Spray accuracy
65.4%Counter-strafing
13.4°Preaim
540msReaction time
55.2%T opening success
33.7%CT opening success
0.56Enemies flashed / flash
2.7%Flash assists
7.88HE damage / grenade
11.13Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3724° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Cache

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0423%2 Nov →
cache5–13-0.0714%1 Nov →
ancient10–130.0112%1 Nov →
nuke13–5-0.0613%1 Nov →
dust211–13-0.019%1 Nov →
anubis6–13-0.057%31 Oct →
ancient13–10.128%31 Oct →
anubis13–90.0223%31 Oct →
nuke13–7-0.0224%30 Oct →
inferno13–60.0421%30 Oct →
cache8–10.0314%29 Oct →
cache10–13-0.039%29 Oct →
ancient13–4-0.008%29 Oct →
nuke8–130.0022%28 Oct →
dust24–13-0.0822%28 Oct →
dust213–30.0415%28 Oct →
dust213–1-0.0610%28 Oct →
anubis11–13-0.0112%27 Oct →
ancient13–9-0.0011%27 Oct →
anubis9–13-0.039%26 Oct →
dust213–16-0.0615%26 Oct →
nuke13–110.0513%26 Oct →
cache13–70.0727%26 Oct →
ancient13–8-0.0111%25 Oct →
nuke13–80.0215%25 Oct →
inferno7–13-0.0018%25 Oct →
anubis13–8-0.0118%25 Oct →
nuke11–13-0.0119%24 Oct →
inferno13–90.0321%24 Oct →
cache5–13-0.0514%23 Oct →
nuke8–13-0.0312%23 Oct →
dust213–7-0.0314%23 Oct →
anubis11–13-0.029%23 Oct →
inferno13–40.0610%23 Oct →
dust212–12-0.0235%22 Oct →
anubis5–13-0.0114%21 Oct →
inferno10–13-0.0413%21 Oct →
ancient13–50.0826%21 Oct →
anubis13–90.0119%20 Oct →
nuke13–90.1016%20 Oct →
ancient13–100.027%20 Oct →
ancient13–50.0313%20 Oct →
ancient13–80.0219%19 Oct →
mirage7–13-0.0114%18 Oct →
nuke13–20.0611%18 Oct →
ancient13–40.0014%18 Oct →
nuke8–130.0123%18 Oct →
anubis13–6-0.056%16 Oct →
inferno9–13-0.0236%16 Oct →
anubis10–130.0416%14 Oct →
cache4–13-0.0416%14 Oct →
inferno11–13-0.0414%11 Oct →
anubis8–130.0417%11 Oct →
ancient13–4-0.0412%11 Oct →
ancient13–30.1015%11 Oct →
inferno5–13-0.0222%11 Oct →
nuke8–13-0.049%8 Oct →
ancient7–130.0322%8 Oct →
inferno13–10-0.0420%8 Oct →
inferno7–130.0216%7 Oct →
inferno13–60.0316%7 Oct →
ancient6–13-0.0221%7 Oct →
ancient9–13-0.058%6 Oct →
inferno13–8-0.0410%6 Oct →
nuke13–30.0621%4 Oct →
inferno13–6-0.0117%4 Oct →
dust29–13-0.0326%4 Oct →
inferno13–30.0720%4 Oct →
ancient13–90.0416%3 Oct →
nuke13–30.0114%3 Oct →
ancient9–13-0.0311%1 Oct →
mirage7–130.0212%1 Oct →
nuke9–13-0.067%1 Oct →
mirage8–13-0.0320%30 Sept →
cache9–13-0.0515%28 Sept →
ancient11–130.0310%28 Sept →
anubis11–13-0.0016%28 Sept →
nuke13–110.0620%28 Sept →
mirage13–110.0415%27 Sept →
mirage13–100.007%26 Sept →
dust28–13-0.0027%26 Sept →
anubis13–5-0.0217%26 Sept →
anubis13–100.036%25 Sept →
dust210–13-0.0419%25 Sept →
nuke11–13-0.0312%25 Sept →
nuke6–130.0311%25 Sept →
ancient13–100.1519%25 Sept →
nuke13–10-0.0411%23 Sept →
nuke13–80.0624%20 Sept →
anubis13–50.0711%20 Sept →
ancient13–7-0.0521%20 Sept →
cache8–13-0.0417%20 Sept →
nuke13–110.0036%19 Sept →
anubis7–13-0.0527%18 Sept →
nuke12–12-0.0213%18 Sept →
ancient13–110.0622%18 Sept →
anubis13–90.0318%17 Sept →
nuke13–100.0518%17 Sept →
anubis10–13-0.0521%17 Sept →
ancient13–100.0224%17 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.