Pena-ali

Pena-ali — CS2 Stats

FI76561198038579925[U:1:78314197]Steam profile ↗✓ No bans

1,536Tracked matches55%Win rate2020Tracked since
5,851Hours in CS12Hrs last 2 wks
CSDB Rating7.7 StrongSupport
Premier CS Rating25,088Top 25% of 204,150 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#19938 of 251272 tracked
FaceitLevel 10 · 2,179 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (4 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: 25,088 -1,537 27 May – 8 Oct · 21 days played
19,88127,568peak 27,56827 May8 Oct
Faceit ELO: 2,179 +0 29 Aug – 20 Sept · 3 observations
2,1792,179peak 2,17929 Aug20 Sept
27,568Peak Premier in tracked matches
2,179Highest Faceit ELO seen on CSDB
34Days played since 2026-05-27

Faceit ELO

  • At peak — 2,179
  • Next: 2,500 ELO at 2,500 — 321 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-29
  • Level 9 first seen 2026-08-29

Premier CS Rating

  • 2,480 below peak (27,568)
  • +1,525 over 30 days · improving
  • Next: Gold band at 30,000 — 4,912 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,304), 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 10 median
Headshot rate56.5%50.9%
Shot accuracy13.0%13.7%
Kill/death ratio1.151.09
Match win rate42.7%48.4%

Share this profile

CSDB.GGPena-aliFACEITLevel 10 · 2,179 ELOSTANDINGTop 12.4% of rankedPREMIER25,088 · Red bandPEAK ELO2,179csdb.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

Aim90
Positioning63
Utility70

0–100 skill scores via Leetify.

Recent form

COLD50–41–9Last 10050%Win rateLLLLTWLWLW

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +4.3pp headshot accuracy · +1ms reaction

Win rate down 40pp 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 (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 483ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 488ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 488ms

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 (+1.9 against its own average).

Aim9.0
Utility7.0
Positioning6.3
Opening Duels4.9
Clutch2.0

Sharp aimer

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 94% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

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

Aim9.0
Positioning6.3
Utility7.0
Mechanics7.6
Opening Duels5.3
Win Impact6.7

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time498ms−71ms
first ⅓ avg 569ms → last ⅓ avg 498ms
Headshot accuracy21.7%−1.4%
first ⅓ avg 23.1% → last ⅓ avg 21.7%

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

0.16Best match rating · 13–3 · inferno, 3 Oct →
39%Best headshot accuracy · 13–8 · cache, 28 Aug →
367msFastest reaction time · 13–9 · ancient, 3 Oct →
13–1Biggest win · ancient, 5 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
4–9In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 75% over 12cacheWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
nukeB168–850%0.02
ancientS1611–569%0.02
dust2B158–753%0.04
cacheD122–1017%0.01
anubisS129–375%0.06
infernoA85–363%0.03
trainC73–443%-0.00
mirageB63–350%0.03
vertigoD51–420%0.04
office—20–20%-0.02
fachwerk—10–10%0.05

Across the last 100 tracked matches.

Lifetime stats

317,012Lifetime kills
1.15K/D · Top 50% of Level 10 players
10,949Matches
42.7%Match win rate
56.5%Headshot % · Top 50% of Level 10 players
13.0%Shot accuracy
26,462MVPs
7,214Hours (in match)
10,868Bombs planted
2,309Bombs defused

Most-used weapons

AK-47138,345
AWP16,002
FAMAS5,996
SSG 083,935
UMP-453,794

Lifetime map wins

19,725dust2
10,928inferno
7,225train
6,243nuke
2,254vertigo
1,703cbble
754office
426italy

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

Faceit stats

Combat

418Matches
61%Win rate
1.29Avg K/D
86.0ADR
51%Headshot %

Clutches & streaks

30%1v1 clutch win
26%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust25454%1.2916.4
Nuke4670%1.4718.3
Ancient4468%1.2216.0
Anubis4356%1.3016.8
Inferno4163%1.2615.3
Mirage3253%1.1815.4
Vertigo560%1.1015.4
Overpass560%1.3819.2

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.

22.1%Headshot accuracy
37.0%Accuracy (enemy spotted)
41.6%Spray accuracy
84.2%Counter-strafing
8.4°Preaim
494msReaction time
45.7%T opening success
56.8%CT opening success
0.56Enemies flashed / flash
8.7%Flash assists
11.79HE damage / grenade
12.36Flashes / match

Recommended for you

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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
train9–13-0.0325%8 Oct →
inferno9–130.0225%8 Oct →
train4–13-0.0611%8 Oct →
dust21–130.0337%3 Oct →
nuke15–15-0.0324%3 Oct →
ancient13–90.0127%3 Oct →
nuke6–13-0.097%3 Oct →
inferno13–30.1632%3 Oct →
dust27–130.0422%3 Oct →
cache13–50.0230%25 Sept →
dust213–40.0217%23 Sept →
ancient13–40.0326%23 Sept →
anubis13–110.0825%21 Sept →
ancient1–2-0.0911%13 Sept →
dust27–13-0.0030%13 Sept →
anubis13–3-0.0114%11 Sept →
nuke13–20.0128%11 Sept →
dust213–70.0423%11 Sept →
mirage13–5-0.049%11 Sept →
ancient9–130.0014%9 Sept →
anubis13–50.0024%9 Sept →
nuke8–130.0623%5 Sept →
ancient13–90.0125%5 Sept →
anubis13–40.1517%5 Sept →
ancient13–10.0316%5 Sept →
dust213–100.1030%5 Sept →
mirage11–13-0.0115%2 Sept →
office4–130.0015%2 Sept →
office3–13-0.0435%2 Sept →
nuke13–90.1021%30 Aug →
nuke13–110.0422%29 Aug →
dust211–130.1121%29 Aug →
mirage13–80.0714%29 Aug →
ancient13–60.0313%28 Aug →
nuke13–8-0.0211%28 Aug →
cache13–80.0839%28 Aug →
cache12–120.0135%28 Aug →
ancient13–50.1218%22 Aug →
anubis13–20.1125%21 Aug →
ancient9–130.0222%21 Aug →
nuke13–10.1019%21 Aug →
mirage2–50.0619%15 Aug →
nuke15–15-0.0118%15 Aug →
dust213–70.0118%15 Aug →
dust213–40.0431%15 Aug →
mirage13–50.0017%15 Aug →
cache9–13-0.0226%15 Aug →
cache10–130.0027%14 Aug →
train12–12-0.0118%14 Aug →
train10–13-0.0122%14 Aug →
ancient13–110.0412%14 Aug →
cache7–130.0222%7 Aug →
anubis13–50.1025%7 Aug →
dust213–30.0821%7 Aug →
inferno13–110.0416%7 Aug →
nuke11–130.0417%5 Aug →
inferno13–10.0929%5 Aug →
vertigo10–130.0224%4 Aug →
vertigo12–120.0424%4 Aug →
ancient16–120.0128%17 Jul →
fachwerk11–130.0535%17 Jul →
dust213–10.0625%17 Jul →
anubis11–13-0.0125%17 Jul →
cache9–13-0.0220%17 Jul →
inferno8–13-0.0212%11 Jul →
dust24–13-0.0127%10 Jul →
nuke13–10.0632%10 Jul →
ancient13–50.0625%10 Jul →
cache10–130.0316%10 Jul →
nuke12–16-0.0219%3 Jul →
cache8–130.0122%3 Jul →
cache11–130.0127%3 Jul →
cache3–13-0.0120%3 Jul →
inferno13–70.0322%25 Jun →
nuke13–40.0128%25 Jun →
anubis13–30.0522%25 Jun →
ancient4–13-0.0415%20 Jun →
dust29–130.0122%19 Jun →
train13–7-0.0321%19 Jun →
ancient13–100.0217%19 Jun →
inferno4–13-0.0422%19 Jun →
ancient16–13-0.0019%19 Jun →
train13–50.0022%17 Jun →
train13–60.1023%17 Jun →
ancient10–130.1224%10 Jun →
nuke13–100.0932%10 Jun →
dust213–50.0321%10 Jun →
vertigo12–120.0225%5 Jun →
dust215–150.0531%3 Jun →
vertigo12–120.0736%3 Jun →
vertigo13–90.0620%3 Jun →
nuke14–160.0119%30 May →
anubis10–130.0624%30 May →
cache7–13-0.0220%29 May →
inferno13–90.0028%29 May →
mirage11–130.0819%29 May →
anubis13–50.0824%29 May →
anubis12–120.0420%29 May →
anubis13–100.0334%27 May →
nuke8–130.0523%27 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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