pena332

pena332 — CS2 Stats

FI76561198264330708[U:1:304064980]Steam profile ↗✓ No bans

505Tracked matches52%Win rate2021Tracked since
CSDB Rating5.6 SolidPositional Player
Premier CS Rating22,903Top 25% of 204,150 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#42846 of 251251 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (20 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 505 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,903 +3,206 24 Feb – 21 Sept · 13 days played
19,09522,903peak 22,90324 Feb21 Sept
22,903Peak Premier in tracked matches
34Days played since 2025-03-29

Premier CS Rating

  • At peak — 22,903
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 2,097 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-19
  • Purple band first seen 2026-09-19

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

Share this profile

CSDB.GGpena332FACEITLevel 6STANDINGTop 54.0% of rankedPREMIER22,903 · Pink bandcsdb.gg/stats

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Performance scores

Aim67
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateWLWLLLLLWL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · +28ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 680ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 642ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

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 (+1 against its own average).

Aim6.7
Utility4.5
Positioning5.2
Opening Duels2.7
Clutch4.4

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 44% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim6.7
Positioning5.2
Utility4.5
Mechanics6.7
Opening Duels1.8
Win Impact5.6

Composite 5.6/10 (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 rating0.01−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time654ms−38ms
first ⅓ avg 691ms → last ⅓ avg 654ms
Headshot accuracy18.2%−8.0%
first ⅓ avg 26.2% → last ⅓ avg 18.2%

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

0.19Best match rating · 13–4 · mirage, 13 Apr →
100%Best headshot accuracy · 1–1 · overpass, 13 Apr →
508msFastest reaction time · 5–13 · nuke, 26 Feb →
13–2Biggest win · anubis, 10 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 64% over 22anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeA2214–864%0.04
mirageC188–1044%0.05
ancientA127–558%0.06
infernoC114–736%0.00
dust2A117–464%0.04
anubisD93–633%-0.01
cacheC73–443%0.02
overpassA53–260%-0.03
train—21–150%0.05
vertigo—21–150%0.05
palais—10–10%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

66Matches
58%Win rate
1.70Avg K/D
92.8ADR
51%Headshot %

Clutches & streaks

42%1v1 clutch win
34%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2268%2.1024.1
Nuke1346%1.7823.1
Inferno743%1.1816.4
Vertigo667%1.7722.0
Anubis560%1.7020.2
Ancient367%1.4419.7
Train2100%2.4427.5
Dust22100%1.1219.5

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.

17.7%Headshot accuracy
37.6%Accuracy (enemy spotted)
37.6%Spray accuracy
80.3%Counter-strafing
10.4°Preaim
652msReaction time
28.8%T opening success
44.4%CT opening success
0.60Enemies flashed / flash
3.9%Flash assists
6.49HE damage / grenade
3.95Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.9452 — below the 4 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 28.7711% — below the 40% mark we flag

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 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–110.0113%21 Aug →
cache11–130.069%21 Aug →
cache13–11-0.0517%20 Aug →
nuke6–13-0.0217%20 Aug →
inferno13–160.0420%20 Aug →
dust21–13-0.0715%20 Aug →
anubis4–13-0.087%19 Aug →
cache6–130.0916%19 Aug →
nuke13–30.098%17 Aug →
inferno3–13-0.0619%17 Aug →
dust213–70.0428%17 Aug →
nuke13–50.1240%11 Aug →
cache13–8-0.0120%11 Aug →
nuke4–130.0324%11 Aug →
inferno13–9-0.0312%10 Aug →
anubis13–20.0512%10 Aug →
nuke11–130.0512%10 Aug →
anubis16–14-0.0017%10 Aug →
cache11–13-0.0516%10 Aug →
nuke13–10-0.0414%10 Aug →
mirage13–5-0.0114%5 Aug →
ancient13–80.0234%5 Aug →
dust24–13-0.0137%5 Aug →
ancient15–15-0.0015%5 Aug →
anubis13–70.0220%5 Aug →
cache4–00.0718%5 Aug →
cache9–130.019%4 Aug →
ancient9–130.0324%4 Aug →
nuke14–16-0.0211%4 Aug →
nuke13–80.0724%4 Aug →
ancient13–90.0517%25 Mar →
mirage5–13-0.0217%25 Mar →
nuke13–100.0426%23 Mar →
mirage8–130.1121%23 Mar →
nuke13–50.1325%23 Mar →
dust216–120.0217%21 Mar →
ancient13–20.1122%21 Mar →
mirage9–130.1020%21 Mar →
mirage13–70.0120%1 Mar →
ancient10–130.0722%1 Mar →
overpass10–130.0427%1 Mar →
nuke5–13-0.0812%26 Feb →
ancient9–13-0.0027%26 Feb →
inferno5–13-0.0322%26 Feb →
mirage13–70.0829%26 Feb →
ancient13–9-0.0124%24 Feb →
dust213–80.1132%23 Feb →
dust25–13-0.0313%23 Feb →
nuke13–110.0219%23 Feb →
dust26–130.0326%23 Feb →
inferno6–13-0.0420%17 Feb →
inferno13–90.0113%17 Feb →
mirage11–130.0613%17 Feb →
nuke2–130.0322%16 Feb →
overpass2–13-0.086%13 Feb →
anubis2–13-0.1111%13 Feb →
mirage13–100.0927%13 Feb →
dust213–60.1624%6 Feb →
nuke13–7-0.0323%6 Feb →
anubis11–130.0732%6 Feb →
nuke10–130.0623%6 Feb →
overpass13–2-0.058%4 Feb →
mirage13–110.0527%4 Feb →
nuke13–70.0726%29 Jan →
mirage8–130.0323%29 Jan →
nuke11–130.0117%29 Jan →
mirage4–13-0.0313%1 Aug →
nuke13–110.0924%1 Aug →
nuke13–70.0723%31 Jul →
ancient13–70.0833%31 Jul →
dust213–60.0918%31 Jul →
inferno13–110.0819%31 Jul →
overpass13–90.1116%31 Jul →
inferno15–150.0218%9 Jun →
dust216–120.0526%3 Jun →
ancient13–50.1622%3 Jun →
nuke13–40.1433%1 Jun →
mirage6–130.0537%21 Apr →
inferno10–13-0.0219%21 Apr →
mirage13–100.0329%21 Apr →
dust213–90.0220%16 Apr →
ancient11–130.0439%16 Apr →
train5–130.0524%16 Apr →
anubis15–150.0319%15 Apr →
train13–30.0616%15 Apr →
mirage5–130.0325%15 Apr →
mirage3–130.0231%14 Apr →
mirage13–110.0724%14 Apr →
anubis0–13-0.0618%14 Apr →
mirage14–160.0223%14 Apr →
nuke13–50.0619%13 Apr →
mirage13–40.1918%13 Apr →
ancient13–80.1424%13 Apr →
overpass1–1-0.18100%13 Apr →
vertigo13–40.0426%12 Apr →
inferno13–60.0633%12 Apr →
vertigo12–120.0526%11 Apr →
anubis3–13-0.0115%11 Apr →
palais6–90.0722%29 Mar →
inferno5–9-0.0127%29 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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