retski

retski — CS2 Stats

FI76561198106572523[U:1:146306795]Steam profile ↗✓ No bans

1,143Tracked matches55%Win rate2022Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating8,673Light Blue band · top ~61.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+615Premier CS Rating · 8,058 → 8,673

Rating over time

Premier CS Rating: 8,673 -2,546 14 Sept – 4 Nov · 12 days played
7,98711,922peak 11,92214 Sept4 Nov
12,117Peak Premier in tracked matches
12Days played since 2026-09-14

Premier CS Rating

  • 3,249 below peak (11,922)
  • Next: Blue band at 10,000 — 1,327 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-14
  • Light Blue band first seen 2026-09-14

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

Share this profile

CSDB.GGretskiPREMIER8,673 · Light Blue bandcsdb.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

Aim54
Positioning48
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–50–5Last 10045%Win rateWWLWLWLTWL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −1.7pp headshot accuracy · −134ms reaction

Win rate 0pp 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 -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 663ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 616ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 683ms

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 (+2.3 against its own average).

Aim5.4
Utility6.0
Positioning4.8
Opening Duels0.4

Strong CT-side opener

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

iM

Plays most like iM 72% 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. 703ms 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

Aim5.4
Positioning4.8
Utility6.0
Mechanics6.4
Opening Duels1.3
Win Impact6.7

Composite 4.7/10 (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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time697ms+25ms
first ⅓ avg 672ms → last ⅓ avg 697ms
Headshot accuracy16.3%+3.8%
first ⅓ avg 12.6% → last ⅓ avg 16.3%

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

0.08Best match rating · 13–1 · inferno, 27 Oct →
31%Best headshot accuracy · 6–13 · dust2, 31 Oct →
445msFastest reaction time · 8–8 · inferno, 4 Nov →
13–0Biggest win · mirage, 1 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–7In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
cacheA2916–1355%-0.01
dust2C188–1044%-0.02
infernoD165–1131%-0.03
mirageB157–847%-0.02
nukeD93–633%-0.03
anubisA53–260%0.01
office—30–30%-0.05
ancient—31–233%-0.03
overpass—22–0100%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.6%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.1%Spray accuracy
78.8%Counter-strafing
10.7°Preaim
703msReaction time
28.3%T opening success
40.7%CT opening success
0.56Enemies flashed / flash
3.1%Flash assists
8.06HE damage / grenade
8.41Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 703.1246ms — above the 700ms 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 28.3172% — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0312%4 Nov →
mirage13–3-0.0013%4 Nov →
nuke9–13-0.0221%4 Nov →
cache13–90.0314%4 Nov →
nuke7–13-0.0415%4 Nov →
cache13–9-0.0217%4 Nov →
cache3–13-0.0427%4 Nov →
inferno8–8-0.0420%4 Nov →
dust213–5-0.0218%3 Nov →
cache14–160.0019%3 Nov →
inferno13–5-0.0114%3 Nov →
cache10–13-0.0122%3 Nov →
dust216–13-0.0413%3 Nov →
nuke11–13-0.0116%3 Nov →
mirage8–13-0.0616%3 Nov →
anubis13–10.0520%3 Nov →
cache13–6-0.0012%2 Nov →
office11–13-0.0530%2 Nov →
dust213–5-0.0326%2 Nov →
cache11–13-0.0423%2 Nov →
office12–12-0.0713%1 Nov →
office10–13-0.0315%1 Nov →
overpass13–100.0714%1 Nov →
inferno9–13-0.0310%1 Nov →
mirage8–13-0.0511%1 Nov →
cache13–40.0422%1 Nov →
inferno13–9-0.064%1 Nov →
mirage13–00.0117%1 Nov →
cache13–40.0218%1 Nov →
cache8–10.0617%1 Nov →
nuke11–13-0.0416%1 Nov →
cache9–13-0.0111%1 Nov →
nuke4–13-0.105%1 Nov →
anubis14–16-0.016%31 Oct →
inferno10–13-0.032%31 Oct →
dust26–13-0.0631%31 Oct →
mirage13–60.0222%31 Oct →
ancient15–15-0.0012%31 Oct →
ancient2–13-0.1110%31 Oct →
anubis13–90.037%31 Oct →
ancient13–50.0312%31 Oct →
inferno5–13-0.069%31 Oct →
inferno6–13-0.0521%31 Oct →
cache3–13-0.0817%31 Oct →
dust210–13-0.0414%31 Oct →
nuke4–20.016%31 Oct →
dust26–130.0014%30 Oct →
cache9–13-0.063%30 Oct →
inferno13–16-0.0324%30 Oct →
cache4–13-0.057%30 Oct →
dust27–13-0.0422%30 Oct →
dust24–13-0.0516%30 Oct →
mirage13–11-0.0210%30 Oct →
mirage10–13-0.0713%30 Oct →
dust25–13-0.0217%30 Oct →
cache13–5-0.0325%30 Oct →
dust213–90.0515%29 Oct →
cache5–130.0129%29 Oct →
mirage9–13-0.0616%29 Oct →
dust213–40.0420%29 Oct →
inferno8–13-0.0410%29 Oct →
mirage12–12-0.0412%29 Oct →
cache13–50.0114%29 Oct →
cache8–130.0414%27 Oct →
dust213–9-0.0313%27 Oct →
inferno13–60.0011%27 Oct →
mirage10–13-0.0510%27 Oct →
cache0–13-0.0611%27 Oct →
mirage10–20.010%27 Oct →
dust25–13-0.0118%27 Oct →
inferno7–13-0.0012%27 Oct →
cache13–100.0011%27 Oct →
inferno13–10.088%27 Oct →
cache6–13-0.0812%27 Oct →
dust26–5-0.0110%27 Oct →
cache13–70.025%26 Oct →
cache13–4-0.0214%26 Oct →
cache13–60.0320%26 Oct →
nuke9–13-0.0111%26 Oct →
dust213–80.0331%26 Oct →
cache13–90.0519%25 Oct →
dust27–13-0.0424%25 Oct →
mirage8–130.0419%25 Oct →
inferno7–13-0.0315%25 Oct →
dust212–12-0.0220%25 Oct →
cache13–110.0314%25 Oct →
cache11–13-0.042%25 Oct →
mirage13–9-0.0115%25 Oct →
anubis9–13-0.0311%24 Oct →
cache13–7-0.069%24 Oct →
mirage10–13-0.079%24 Oct →
dust27–13-0.016%24 Oct →
nuke13–40.0111%24 Oct →
inferno6–13-0.078%24 Oct →
overpass13–20.008%24 Oct →
anubis13–9-0.0014%23 Oct →
inferno13–80.009%23 Oct →
nuke13–8-0.0714%23 Oct →
mirage13–100.0019%23 Oct →
inferno6–13-0.078%23 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.