Pwneri

Pwneri — CS2 Stats

76561197986806817[U:1:26541089]Steam profile ↗✓ No bans

1,017Tracked matches48%Win rate2025Tracked since
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating6,190Light Blue band · top ~73.1% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). 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: 6,190 +1,814 18 Aug – 16 Oct · 49 days played
4,3467,290peak 7,29018 Aug16 Oct
7,450Peak Premier in tracked matches
594Highest Faceit ELO seen on CSDB
49Days played since 2026-08-18

Faceit ELO

  • At peak — 594
  • Next: Level 3 at 751 — 157 to go
  • Reached: Level 2

Premier CS Rating

  • 1,100 below peak (7,290)
  • +951 over 30 days · improving
  • Next: Blue band at 10,000 — 3,810 to go
  • Reached: Light Blue band

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

Share this profile

CSDB.GGPwneriPREMIER6,190 · Light Blue bandPEAK ELO594csdb.gg/stats

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Performance scores

Aim45
Positioning60
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY51–43–6Last 10051%Win rateWWLLLTWLWT

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · −7ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 8%
  • Avg reaction 520ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 8%
  • Avg reaction 541ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 8%
  • Avg reaction 545ms

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 (+1.2 against its own average).

Aim4.5
Utility5.4
Positioning6.0
Opening Duels3.9
Clutch4.0

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

jL

Plays most like jL 70% 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. 566ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim4.5
Positioning6.0
Utility5.4
Mechanics2.2
Opening Duels6.2
Win Impact4.4

Composite 4.3/10 (Developing), 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 rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time577ms−15ms
first ⅓ avg 592ms → last ⅓ avg 577ms
Headshot accuracy9.6%−0.5%
first ⅓ avg 10.1% → last ⅓ avg 9.6%

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

0.13Best match rating · 13–6 · ancient, 14 Sept →
25%Best headshot accuracy · 13–3 · dust2, 10 Sept →
414msFastest reaction time · 6–13 · cache, 26 Aug →
13–2Biggest win · inferno, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
10–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 64% over 25nukeWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2516–964%0.00
anubisB178–947%-0.01
mirageC167–944%0.00
dust2B157–847%0.01
cacheA116–555%-0.00
ancientA95–456%0.02
nukeD72–529%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
50%Win rate
1.30Avg K/D
75.5ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%2.0712.0
Nuke3100%1.1113.3
Ancient20%0.7411.5
Overpass10%1.0014.0
Mirage1100%0.9625.0

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.

9.5%Headshot accuracy
33.0%Accuracy (enemy spotted)
33.6%Spray accuracy
59.8%Counter-strafing
8.2°Preaim
566msReaction time
57.4%T opening success
52.4%CT opening success
0.62Enemies flashed / flash
2.8%Flash assists
9.21HE damage / grenade
8.54Flashes / 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 9.5295% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis16–13-0.0314%16 Oct →
ancient13–100.034%16 Oct →
inferno9–13-0.0412%16 Oct →
anubis10–13-0.037%13 Oct →
cache8–13-0.025%13 Oct →
mirage15–15-0.0310%13 Oct →
inferno16–130.028%13 Oct →
inferno5–90.017%13 Oct →
inferno13–70.032%13 Oct →
dust215–150.048%11 Oct →
inferno13–9-0.037%10 Oct →
anubis13–70.086%10 Oct →
ancient6–130.014%9 Oct →
anubis5–130.025%8 Oct →
ancient13–16-0.063%8 Oct →
mirage13–8-0.034%7 Oct →
anubis8–13-0.0518%7 Oct →
ancient13–60.108%5 Oct →
dust27–13-0.029%5 Oct →
cache13–40.0716%4 Oct →
cache6–13-0.0715%4 Oct →
inferno13–50.0822%3 Oct →
inferno13–20.0015%3 Oct →
inferno6–130.0215%3 Oct →
anubis16–14-0.0314%2 Oct →
inferno6–13-0.0514%2 Oct →
inferno9–6-0.019%2 Oct →
ancient4–13-0.0410%1 Oct →
anubis9–13-0.0316%30 Sept →
inferno13–10-0.018%30 Sept →
mirage10–130.0310%29 Sept →
dust215–150.006%29 Sept →
inferno13–20.099%28 Sept →
inferno13–10-0.0311%28 Sept →
dust211–13-0.0219%27 Sept →
mirage16–140.019%26 Sept →
anubis13–50.0916%26 Sept →
mirage9–130.057%25 Sept →
cache13–16-0.059%25 Sept →
inferno3–9-0.1023%25 Sept →
mirage15–15-0.0211%24 Sept →
inferno13–40.0814%24 Sept →
nuke11–130.0213%23 Sept →
cache1–13-0.038%23 Sept →
dust213–110.0110%23 Sept →
ancient13–60.028%22 Sept →
anubis13–20.095%22 Sept →
inferno13–20.0012%21 Sept →
mirage8–13-0.037%21 Sept →
anubis13–110.024%19 Sept →
dust213–8-0.045%19 Sept →
mirage13–60.1212%17 Sept →
inferno13–11-0.0410%17 Sept →
inferno7–90.023%17 Sept →
cache13–70.055%16 Sept →
ancient11–130.0415%16 Sept →
anubis3–13-0.0612%15 Sept →
dust213–40.049%15 Sept →
dust29–13-0.049%14 Sept →
ancient13–60.133%14 Sept →
mirage8–13-0.055%12 Sept →
dust215–150.005%12 Sept →
mirage3–130.0521%11 Sept →
cache13–40.105%11 Sept →
anubis9–13-0.0111%11 Sept →
nuke15–15-0.027%11 Sept →
inferno13–11-0.026%10 Sept →
dust213–30.0525%10 Sept →
dust213–7-0.007%9 Sept →
inferno11–130.028%9 Sept →
anubis8–13-0.054%8 Sept →
mirage4–13-0.075%8 Sept →
anubis13–8-0.0412%7 Sept →
anubis16–14-0.0313%6 Sept →
nuke4–13-0.035%5 Sept →
cache13–10-0.0214%4 Sept →
cache13–5-0.0111%3 Sept →
dust213–160.0610%1 Sept →
cache13–80.014%1 Sept →
anubis10–13-0.0310%31 Aug →
mirage13–60.0411%31 Aug →
dust213–90.0511%30 Aug →
mirage13–30.059%30 Aug →
inferno13–6-0.0212%28 Aug →
ancient10–2-0.045%28 Aug →
inferno9–70.0310%28 Aug →
anubis5–13-0.039%26 Aug →
cache6–13-0.0413%26 Aug →
nuke13–90.048%25 Aug →
nuke2–13-0.076%25 Aug →
dust25–13-0.0112%24 Aug →
nuke2–13-0.029%24 Aug →
mirage11–13-0.073%22 Aug →
mirage13–11-0.0314%21 Aug →
mirage13–100.018%20 Aug →
dust213–3-0.0114%20 Aug →
inferno7–90.0518%20 Aug →
nuke13–11-0.025%19 Aug →
inferno8–13-0.0319%19 Aug →
inferno13–9-0.0010%18 Aug →

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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