psaLdak

psaLdak — CS2 Stats

76561199258824855[U:1:1298559127]Steam profile ↗✓ No bans

1,607Tracked matches57%Win rate2022Tracked since
CSDB Rating4.8 DevelopingSupport
Premier CS Rating7,162Light Blue band · top ~68.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (15 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: 7,162 -1,274 22 Jul – 26 Sept · 16 days played
6,7468,775peak 8,77522 Jul26 Sept
8,896Peak Premier in tracked matches
42Days played since 2026-07-22

Premier CS Rating

  • 1,613 below peak (8,775)
  • +17 over 30 days · steady
  • Next: Blue band at 10,000 — 2,838 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-20

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

Share this profile

CSDB.GGpsaLdakFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER7,162 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning57
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateWWLWLWWLWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −5.9pp headshot accuracy · −6ms 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 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 623ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 577ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 580ms

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 (+2.4 against its own average).

Aim4.7
Utility6.7
Positioning5.7
Opening Duels2.0
Clutch3.0

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

ZywOo

Plays most like ZywOo 66% 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

CT openings. Opening success drops from 56% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim4.7
Positioning5.7
Utility6.7
Mechanics4.4
Opening Duels3.9
Win Impact7.2

Composite 4.8/10 (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 rating-0.02+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time574ms−18ms
first ⅓ avg 592ms → last ⅓ avg 574ms
Headshot accuracy12.7%+2.0%
first ⅓ avg 10.8% → last ⅓ avg 12.7%

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

0.15Best match rating · 13–4 · ancient, 9 Aug →
28%Best headshot accuracy · 7–13 · ancient, 26 Aug →
422msFastest reaction time · 13–4 · inferno, 29 Aug →
13–2Biggest win · nuke, 3 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
3–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 52% over 25anubisWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
infernoB2513–1252%-0.03
ancientB2512–1348%-0.03
nukeB2311–1248%-0.01
anubisD186–1233%-0.03
cacheC52–340%-0.04
dust2—31–233%-0.05
mirage—10–10%-0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

449Matches
45%Win rate
0.82Avg K/D
70.3ADR
32%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno13543%0.7511.8
Ancient11247%0.9413.5
Nuke8743%0.8312.8
Anubis5547%0.7712.4
Dust22255%0.7411.4
Train1450%0.8011.1
Mirage956%0.7612.3
Vertigo838%1.0012.3

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.

12.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
33.6%Spray accuracy
70.0%Counter-strafing
11.0°Preaim
570msReaction time
56.5%T opening success
35.1%CT opening success
0.51Enemies flashed / flash
7.3%Flash assists
13.07HE damage / grenade
6.82Flashes / 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 12.64% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.0687% — 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 18 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0114%11 Oct →
inferno9–40.1410%10 Oct →
nuke4–13-0.0017%10 Oct →
inferno13–8-0.019%10 Oct →
inferno10–13-0.0411%9 Oct →
ancient13–6-0.0310%6 Oct →
inferno13–8-0.049%6 Oct →
nuke10–13-0.107%5 Oct →
anubis13–10-0.077%5 Oct →
nuke11–130.0010%1 Oct →
nuke6–9-0.0510%1 Oct →
anubis14–16-0.0112%30 Sept →
ancient13–6-0.0219%30 Sept →
ancient4–13-0.0311%27 Sept →
inferno10–13-0.0215%27 Sept →
nuke13–60.0222%26 Sept →
dust22–13-0.0919%26 Sept →
anubis13–9-0.0223%24 Sept →
anubis13–10-0.0120%24 Sept →
ancient13–70.0212%22 Sept →
ancient13–80.049%21 Sept →
inferno13–5-0.0125%20 Sept →
anubis10–13-0.0218%20 Sept →
inferno13–11-0.0010%20 Sept →
nuke19–22-0.019%19 Sept →
nuke13–70.044%17 Sept →
nuke8–13-0.039%10 Sept →
inferno13–6-0.0014%10 Sept →
inferno13–11-0.0313%10 Sept →
ancient10–13-0.0311%2 Sept →
ancient13–7-0.038%2 Sept →
dust29–13-0.0714%30 Aug →
nuke13–60.0013%29 Aug →
inferno13–4-0.0116%29 Aug →
anubis13–5-0.0215%29 Aug →
nuke4–13-0.0418%29 Aug →
inferno13–16-0.062%28 Aug →
nuke13–90.0211%28 Aug →
cache10–13-0.0914%28 Aug →
anubis10–13-0.0220%28 Aug →
nuke5–13-0.004%28 Aug →
inferno8–13-0.0112%28 Aug →
dust213–50.0217%27 Aug →
anubis10–13-0.0120%27 Aug →
ancient7–13-0.0428%26 Aug →
ancient10–13-0.062%26 Aug →
ancient13–50.007%23 Aug →
inferno13–11-0.0816%23 Aug →
ancient13–90.046%23 Aug →
ancient16–12-0.026%23 Aug →
nuke13–50.0910%16 Aug →
nuke13–10-0.0411%16 Aug →
inferno10–13-0.0615%15 Aug →
inferno9–13-0.0813%14 Aug →
ancient3–13-0.0710%14 Aug →
anubis11–13-0.0313%14 Aug →
inferno10–13-0.0512%13 Aug →
ancient13–8-0.042%13 Aug →
ancient13–7-0.046%12 Aug →
nuke13–80.0013%12 Aug →
anubis6–13-0.0513%12 Aug →
inferno9–13-0.059%12 Aug →
inferno13–9-0.0510%10 Aug →
nuke13–6-0.0111%10 Aug →
ancient13–40.159%9 Aug →
cache13–6-0.0211%9 Aug →
ancient0–13-0.079%8 Aug →
ancient13–80.0210%8 Aug →
inferno11–13-0.0114%6 Aug →
ancient6–13-0.059%6 Aug →
inferno15–15-0.0213%5 Aug →
inferno4–13-0.0514%5 Aug →
cache13–10-0.008%5 Aug →
inferno13–30.0312%5 Aug →
ancient8–13-0.083%4 Aug →
nuke13–8-0.029%4 Aug →
anubis8–130.0216%3 Aug →
nuke13–2-0.018%3 Aug →
nuke4–13-0.0111%2 Aug →
ancient11–13-0.085%2 Aug →
anubis4–13-0.066%2 Aug →
nuke15–15-0.037%31 Jul →
anubis4–13-0.109%31 Jul →
mirage2–13-0.0715%31 Jul →
anubis10–13-0.0111%31 Jul →
cache11–13-0.0621%31 Jul →
inferno4–13-0.065%31 Jul →
ancient10–13-0.0719%31 Jul →
nuke9–13-0.0615%30 Jul →
anubis13–8-0.0011%30 Jul →
inferno13–6-0.0111%29 Jul →
anubis13–6-0.0010%29 Jul →
ancient9–13-0.068%29 Jul →
nuke4–13-0.109%29 Jul →
ancient5–13-0.0413%24 Jul →
ancient15–15-0.066%23 Jul →
anubis9–13-0.0118%23 Jul →
cache4–13-0.0218%23 Jul →
anubis14–16-0.037%22 Jul →
inferno13–8-0.064%22 Jul →

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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