Pentti

Pentti — CS2 Stats

76561198127157681[U:1:166891953]Steam profile ↗✓ No bans

1,778Tracked matches57%Win rate2022Tracked since
4,140Hours in CS13Hrs last 2 wks
CSDB Rating7.3 StrongSupport
Premier CS Rating22,532Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#49762 of 260018 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 22,532 +2,034 11 Sept – 2 Nov · 30 days played
20,18923,348peak 23,34811 Sept2 Nov
23,465Peak Premier in tracked matches
35Days played since 2026-09-11

Premier CS Rating

  • 816 below peak (23,348)
  • +252 over 30 days · steady
  • Next: Red band at 25,000 — 2,468 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-24
  • Purple band first seen 2026-09-24

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 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate40.4%48.2%50.9%10.6% short
Shot accuracy14.9%13.2%13.7%above
Kill/death ratio1.061.071.090.03 short
Match win rate47.0%46.9%48.4%1.4% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPenttiFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,532 · 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

Aim76
Positioning67
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLWWWLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · +4.7pp headshot accuracy · −53ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 561ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

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 (+1.1 against its own average).

Aim7.6
Utility7.1
Positioning6.7
Opening Duels6.2
Clutch3.8

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

device

Plays most like device 84% 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. 587ms 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

Aim7.6
Positioning6.7
Utility7.1
Mechanics7.7
Opening Duels5.7
Win Impact7.2

Composite 7.3/10 (Strong), 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 -0.01 → last ⅓ avg 0.01
Reaction time589ms−4ms
first ⅓ avg 593ms → last ⅓ avg 589ms
Headshot accuracy18.5%−1.2%
first ⅓ avg 19.7% → last ⅓ avg 18.5%

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

0.17Best match rating · 13–11 · cache, 12 Sept →
57%Best headshot accuracy · 0–13 · mirage, 11 Sept →
438msFastest reaction time · 8–13 · nuke, 26 Sept →
13–0Biggest win · dust2, 27 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
11–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 91% over 11anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%-0.00
cacheA1810–856%0.02
infernoB168–850%-0.01
nukeB147–750%-0.00
ancientC145–936%-0.00
mirageS1110–191%-0.02
anubisD62–433%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

112,036Lifetime kills
1.06K/D
5,552Matches
47.0%Match win rate · Top 50% of Level 9 players
40.4%Headshot %
14.9%Shot accuracy · Top 50% of Level 9 players
11,319MVPs
2,319Hours (in match)
5,277Bombs planted
1,288Bombs defused

Most-used weapons

AK-4735,210
AWP13,182
MAC-103,683
MP72,566
UMP-452,450
Knife2,382

Lifetime map wins

13,513dust2
7,501inferno
3,566nuke
2,696train
1,850cbble
307vertigo
272safehouse
194lake

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

Faceit stats

Combat

1,085Matches
53%Win rate
1.04Avg K/D
75.9ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust212056%1.0514.6
Ancient9841%0.9614.8
Nuke6965%1.1015.5
Inferno5544%1.0015.0
Cache5357%1.3313.8
Anubis4055%1.0213.8
Mirage2544%1.0713.7
Overpass1573%0.9815.7

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.

19.1%Headshot accuracy
36.2%Accuracy (enemy spotted)
40.7%Spray accuracy
84.7%Counter-strafing
10.9°Preaim
587msReaction time
45.5%T opening success
60.0%CT opening success
0.63Enemies flashed / flash
14.3%Flash assists
11.44HE damage / grenade
9.53Flashes / match

Recommended for you

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0211%2 Nov →
mirage13–40.0113%2 Nov →
nuke13–40.0115%2 Nov →
cache13–90.0725%1 Nov →
cache9–13-0.0240%1 Nov →
cache11–130.0425%1 Nov →
ancient13–30.0625%1 Nov →
dust29–130.0018%1 Nov →
ancient13–100.0319%31 Oct →
dust26–130.0127%31 Oct →
inferno6–13-0.0226%25 Oct →
cache6–13-0.0210%25 Oct →
inferno16–13-0.0417%25 Oct →
mirage13–110.0321%23 Oct →
nuke9–13-0.0116%23 Oct →
mirage13–70.0312%22 Oct →
dust213–7-0.089%19 Oct →
ancient16–140.0622%18 Oct →
dust27–130.0215%18 Oct →
nuke13–9-0.0223%16 Oct →
mirage13–6-0.0615%16 Oct →
mirage16–130.0115%15 Oct →
cache13–7-0.0016%15 Oct →
nuke13–110.0612%15 Oct →
dust211–130.0316%14 Oct →
nuke13–9-0.0614%14 Oct →
cache7–130.0430%12 Oct →
ancient6–13-0.0424%11 Oct →
inferno10–130.0623%11 Oct →
mirage13–80.0519%7 Oct →
dust27–13-0.0413%6 Oct →
nuke9–130.0218%6 Oct →
ancient10–13-0.0410%6 Oct →
cache9–130.0018%6 Oct →
dust213–7-0.0127%6 Oct →
inferno4–13-0.0415%5 Oct →
mirage16–14-0.0121%4 Oct →
cache9–130.0513%4 Oct →
dust211–13-0.0216%4 Oct →
cache13–110.0116%4 Oct →
cache7–6-0.0317%4 Oct →
dust213–30.0820%4 Oct →
inferno1–13-0.0616%4 Oct →
anubis9–13-0.0219%4 Oct →
inferno16–14-0.0214%3 Oct →
inferno4–130.0313%3 Oct →
cache3–13-0.0515%3 Oct →
dust213–90.0613%1 Oct →
ancient11–13-0.0713%1 Oct →
ancient4–130.0829%1 Oct →
inferno11–13-0.0233%30 Sept →
dust210–13-0.038%30 Sept →
nuke13–30.0024%28 Sept →
mirage13–3-0.0531%28 Sept →
dust213–00.067%27 Sept →
cache13–60.0623%27 Sept →
dust213–11-0.0624%27 Sept →
dust210–13-0.0416%27 Sept →
inferno13–90.0921%26 Sept →
inferno13–9-0.0015%26 Sept →
ancient8–13-0.0610%26 Sept →
nuke8–13-0.0320%26 Sept →
inferno13–5-0.0320%26 Sept →
inferno16–13-0.0116%25 Sept →
dust213–10-0.0218%24 Sept →
anubis4–130.0110%24 Sept →
inferno13–100.0012%23 Sept →
nuke10–13-0.0220%23 Sept →
cache13–9-0.0218%23 Sept →
cache13–110.0229%23 Sept →
anubis5–13-0.0118%23 Sept →
nuke14–160.0031%22 Sept →
cache13–7-0.087%20 Sept →
dust211–13-0.0228%20 Sept →
mirage13–3-0.0514%20 Sept →
ancient3–13-0.088%20 Sept →
anubis16–14-0.018%20 Sept →
dust215–150.0121%20 Sept →
inferno5–13-0.0215%20 Sept →
dust213–40.0313%20 Sept →
dust213–70.0417%19 Sept →
nuke13–100.0322%19 Sept →
ancient11–13-0.0018%19 Sept →
ancient13–80.0931%18 Sept →
ancient13–8-0.0423%17 Sept →
nuke13–7-0.0417%17 Sept →
cache9–10.0527%17 Sept →
dust210–13-0.0419%16 Sept →
anubis6–13-0.0610%15 Sept →
cache10–130.0127%15 Sept →
cache13–110.1726%12 Sept →
anubis13–80.0325%12 Sept →
nuke14–160.0319%12 Sept →
dust213–6-0.0321%12 Sept →
inferno13–6-0.0414%12 Sept →
ancient12–16-0.0018%12 Sept →
ancient11–13-0.0216%11 Sept →
mirage0–13-0.1357%11 Sept →
mirage13–7-0.089%11 Sept →
inferno8–13-0.028%11 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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