Poder Venezolano

Poder Venezolano — CS2 Stats

VE76561199202314691[U:1:1242048963]Steam profile ↗✓ No bans

2,532Tracked matches33%Win rate2021Tracked since
4,513Hours in CS68Hrs last 2 wks
CSDB Rating3.3 Learning
FaceitLevel 4 · 606 ELOTop 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), 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 rate36.1%42.7%44.0%7.9% short
Shot accuracy3.5%10.8%11.6%8.1% short
Kill/death ratio0.961.001.030.07 short
Match win rate49.3%44.1%45.1%above

This profile matches the typical Level 5 player on 1 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.GGPoder VenezolanoFACEITLevel 4 · 606 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning36
Utility67

0–100 skill scores via Leetify.

Recent form

COLD4555Last 10045%Win rateLLLWLWLWLL

Last 10 vs previous 10: -10pp win rate · +0.03 avg rating

Player DNA

Aim3.6
Aggression3.9
Utility6.7
Positioning3.6
Opening Duels0.2
Clutch4.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 75% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 663ms 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

Aim3.6
Positioning3.6
Utility6.7
Mechanics4.8
Opening Duels1.1
Win Impact0.0

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time674ms+40ms
first ⅓ avg 634ms → last ⅓ avg 674ms
Headshot accuracy12.8%−0.7%
first ⅓ avg 13.5% → last ⅓ avg 12.8%

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.

Highlights

0.08Best rating — dust2 13–1
131Biggest win — dust2
6Longest win streak
L3Current streak
98In matches decided by ≤2 rounds
23Overtime games

Map breakdown

dust2Best map · 61% over 41infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
dust2A41251661%-0.01
mirageC2591636%-0.02
infernoD1541127%-0.03
ancientB84450%-0.02
cache41325%-0.02
nuke3030%-0.03
anubis32167%-0.02
overpass1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

63,071Lifetime kills
0.96K/D
3,956Matches
49.3%Match win rate · Top 25% of Level 4 players
36.1%Headshot %
3.5%Shot accuracy
7,458MVPs
1,810Hours (in match)
5,357Bombs planted
733Bombs defused

Most-used weapons

AK-4713,270
AWP6,477
MAC-103,301
MP92,709
Negev2,044
Knife2,017

Lifetime map wins

11,732dust2
6,800inferno
997vertigo
965nuke
263train
36office
10cbble
7italy

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

Faceit stats

Combat

1,595Matches
50%Win rate
0.82Avg K/D
66.6ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Dust256253%0.8412.0
Mirage46650%0.7811.5
Inferno30654%0.8912.5
Anubis12145%0.8012.0
Ancient9341%0.7511.7
Cache1638%0.7610.9
Nuke1429%0.569.1
Overpass922%0.6111.7

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.

13.0%Headshot accuracy
30.8%Accuracy (enemy spotted)
33.8%Spray accuracy
71.6%Counter-strafing
11.3°Preaim
663msReaction time
22.6%T opening success
39.0%CT opening success
0.59Enemies flashed / flash
5.0%Flash assists
12.34HE damage / grenade
11.77Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0492% — below the 15% mark we flag

    Aim Training
  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 22.6076% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0311%29 Aug
inferno4–13-0.0422%25 Aug
nuke8–13-0.0419%24 Aug
dust213–10-0.0420%24 Aug
cache9–13-0.0416%22 Aug
dust213–70.0715%21 Aug
dust210–13-0.0315%19 Aug
dust213–70.0420%19 Aug
ancient4–13-0.0113%19 Aug
mirage4–13-0.028%17 Aug
ancient10–13-0.066%16 Aug
dust217–19-0.0615%15 Aug
inferno13–16-0.0319%13 Aug
dust216–13-0.067%12 Aug
dust216–13-0.0213%9 Aug
mirage16–19-0.0313%9 Aug
mirage16–14-0.067%8 Aug
dust220–22-0.049%7 Aug
inferno16–14-0.0114%6 Aug
nuke12–16-0.039%6 Aug
mirage6–13-0.0118%2 Aug
dust213–20.027%29 Jul
anubis3–13-0.095%27 Jul
anubis19–150.0311%25 Jul
dust25–130.0215%24 Jul
mirage8–13-0.028%15 Jul
ancient11–130.0222%10 Jul
anubis13–8-0.0115%4 Jul
mirage14–160.0312%2 Jul
dust27–13-0.0118%28 Jun
dust216–140.0110%27 Jun
dust23–13-0.063%25 Jun
dust213–16-0.0012%24 Jun
dust213–10.0814%17 Jun
dust213–9-0.0112%12 Jun
ancient13–70.005%9 Jun
mirage8–13-0.0021%8 Jun
inferno15–190.0010%8 Jun
mirage16–14-0.0119%4 Jun
dust213–2-0.0614%31 May
dust22–13-0.027%28 May
mirage10–130.0322%28 May
mirage13–80.0511%26 May
inferno13–7-0.0418%25 May
cache7–13-0.046%25 May
dust217–190.0310%24 May
dust213–5-0.029%24 May
ancient16–13-0.039%24 May
mirage5–13-0.0610%23 May
cache13–80.0517%23 May
inferno10–13-0.0514%23 May
inferno13–16-0.0213%21 May
mirage13–11-0.0216%21 May
cache11–13-0.037%20 May
mirage13–3-0.0522%19 May
dust213–40.0117%18 May
dust213–60.0416%18 May
mirage13–7-0.058%17 May
dust213–9-0.0415%17 May
dust213–100.0722%12 May
dust26–13-0.0411%10 May
dust213–7-0.0115%10 May
ancient6–130.0118%7 May
dust213–10-0.0126%7 May
dust213–50.0314%6 May
inferno11–13-0.047%4 May
inferno13–10-0.0517%3 May
mirage7–130.0213%2 May
mirage13–11-0.0010%2 May
mirage13–6-0.0819%2 May
dust213–30.0317%1 May
dust213–70.0216%29 Apr
mirage6–13-0.035%26 Apr
inferno7–13-0.059%26 Apr
dust28–13-0.0310%25 Apr
inferno4–13-0.0227%23 Apr
mirage5–13-0.0618%19 Apr
dust213–10-0.0214%17 Apr
dust213–8-0.0622%7 Apr
mirage3–13-0.0219%7 Apr
inferno11–130.0115%7 Apr
inferno10–13-0.046%6 Apr
ancient13–10-0.0414%31 Mar
inferno8–13-0.0512%30 Mar
mirage13–16-0.0511%29 Mar
dust21–13-0.1010%28 Mar
dust213–60.0312%27 Mar
mirage5–13-0.0310%24 Mar
mirage5–13-0.0511%21 Mar
mirage13–30.0510%20 Mar
dust24–13-0.0120%18 Mar
dust219–15-0.0423%18 Mar
inferno16–14-0.057%17 Mar
ancient19–17-0.028%16 Mar
dust213–110.049%14 Mar
dust28–13-0.0115%9 Mar
overpass8–13-0.0515%4 Mar
dust213–16-0.0713%2 Mar
dust28–13-0.0818%19 Feb
mirage3–13-0.0110%19 Feb

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 →