andrei.sto

andrei.sto — CS2 Stats

MA76561198910229097[U:1:949963369]Steam profile ↗✓ No bans

522Tracked matches60%Win rate2025Tracked since
1,038Hours in CS1Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating9,197Light Blue band · top ~58.7% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 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: 9,197 -9,834 14 Jul – 6 Nov · 24 days played
9,19720,769peak 20,76914 Jul6 Nov
20,819Peak Premier in tracked matches
28Days played since 2026-07-14

Premier CS Rating

  • 11,572 below peak (20,769)
  • -9,059 over 30 days · declining
  • -11,142 over 90 days
  • Next: Blue band at 10,000 — 803 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-18
  • Blue band first seen 2026-09-18

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate55.7%39.9%42.0%above
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio1.040.920.98above
Match win rate52.6%42.3%43.8%above

This profile matches the typical Blue band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGandrei.stoPREMIER9,197 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning64
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWWLWWWLLTL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −4.6pp headshot accuracy · −98ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 480ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 491ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 540ms

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 (+2.4 against its own average).

Aim6.1
Utility3.1
Positioning6.4
Opening Duels2.6

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

donk

Plays most like donk 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 55% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 558ms 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

Aim6.1
Positioning6.4
Utility3.1
Mechanics4.5
Opening Duels4.2
Win Impact8.3

Composite 5.0/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time517ms−50ms
first ⅓ avg 567ms → last ⅓ avg 517ms
Headshot accuracy26.5%+0.4%
first ⅓ avg 26.1% → last ⅓ avg 26.5%

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

0.27Best match rating · 9–4 · inferno, 13 Sept →
60%Best headshot accuracy · 4–9 · inferno, 2 Sept →
266msFastest reaction time · 4–9 · inferno, 2 Oct →
13–0Biggest win · dust2, 19 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 65% over 23nukeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB4220–2248%0.01
mirageS2315–865%0.01
anubisC114–736%0.01
dust2B84–450%0.00
nukeD51–420%-0.03
ancientA53–260%0.02
cache—30–30%0.02
vertigo—32–167%0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,582Lifetime kills
1.04K/D · Top 25% of Light Blue band
821Matches
52.6%Match win rate · Top 5% of Light Blue band
55.7%Headshot % · Top 10% of Light Blue band
0.0%Shot accuracy
2,482MVPs
212Hours (in match)
919Bombs planted
171Bombs defused

Most-used weapons

Lifetime map wins

3,208inferno
795dust2
404nuke
68vertigo
55train

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

Skill profile

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

23.6%Headshot accuracy
28.2%Accuracy (enemy spotted)
25.9%Spray accuracy
70.3%Counter-strafing
7.5°Preaim
558msReaction time
54.7%T opening success
39.0%CT opening success
0.41Enemies flashed / flash
4.0%Flash assists
10.05HE damage / grenade
3.94Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4065 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

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

    CT opening duels 38.9976% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0223%6 Nov →
mirage13–40.1133%6 Nov →
inferno5–90.0027%6 Nov →
mirage13–110.0214%25 Oct →
inferno9–60.0414%25 Oct →
inferno9–50.0816%25 Oct →
dust21–13-0.0143%24 Oct →
anubis7–13-0.019%24 Oct →
inferno8–8-0.1429%24 Oct →
anubis4–13-0.0241%22 Oct →
inferno13–100.0322%22 Oct →
inferno9–60.0438%22 Oct →
inferno4–9-0.0222%13 Oct →
inferno5–9-0.0132%10 Oct →
inferno3–9-0.1250%10 Oct →
nuke8–13-0.0426%9 Oct →
ancient7–130.0526%9 Oct →
dust216–140.0525%5 Oct →
inferno7–9-0.0229%5 Oct →
inferno9–70.0427%4 Oct →
inferno9–60.2316%4 Oct →
inferno8–8-0.0226%4 Oct →
mirage13–10-0.065%4 Oct →
cache13–160.0428%4 Oct →
anubis13–60.1031%4 Oct →
cache10–130.0833%3 Oct →
mirage13–70.0433%3 Oct →
anubis13–100.0533%3 Oct →
dust216–140.0432%3 Oct →
inferno9–7-0.0213%3 Oct →
inferno4–9-0.0814%2 Oct →
mirage14–16-0.0322%2 Oct →
inferno9–30.2343%2 Oct →
mirage2–13-0.0113%27 Sept →
mirage13–30.029%27 Sept →
inferno3–9-0.1514%27 Sept →
inferno7–9-0.1311%27 Sept →
vertigo13–100.0521%27 Sept →
ancient5–00.0017%27 Sept →
mirage13–7-0.018%27 Sept →
anubis8–12-0.0422%26 Sept →
mirage13–110.0419%26 Sept →
mirage10–00.0226%26 Sept →
inferno11–13-0.0218%26 Sept →
inferno13–10-0.0133%26 Sept →
nuke6–13-0.0612%26 Sept →
inferno9–40.2741%13 Sept →
inferno1–9-0.0611%13 Sept →
inferno7–90.0835%13 Sept →
vertigo9–30.0819%13 Sept →
inferno3–9-0.1821%13 Sept →
vertigo5–9-0.0132%13 Sept →
inferno8–80.0420%13 Sept →
inferno9–40.1926%13 Sept →
mirage13–50.0826%13 Sept →
inferno4–9-0.0918%4 Sept →
mirage6–130.0126%4 Sept →
mirage13–50.0820%4 Sept →
dust210–13-0.0331%3 Sept →
ancient13–9-0.0710%3 Sept →
anubis1–13-0.0220%3 Sept →
inferno13–20.0728%3 Sept →
inferno6–9-0.0427%3 Sept →
inferno9–50.1921%2 Sept →
inferno9–20.0130%2 Sept →
anubis11–130.0627%2 Sept →
anubis5–130.0511%2 Sept →
inferno4–9-0.1260%2 Sept →
mirage13–16-0.0019%1 Sept →
mirage13–6-0.0335%1 Sept →
inferno9–5-0.0733%1 Sept →
mirage7–13-0.0620%12 Aug →
mirage13–110.0825%12 Aug →
anubis6–13-0.048%12 Aug →
inferno9–60.1318%11 Aug →
inferno9–10.1347%8 Aug →
dust213–16-0.0423%8 Aug →
mirage13–6-0.0526%7 Aug →
inferno9–30.1322%7 Aug →
mirage7–130.0213%2 Aug →
inferno4–13-0.0526%19 Jul →
nuke10–13-0.0133%19 Jul →
nuke13–30.0127%19 Jul →
mirage15–15-0.0317%19 Jul →
dust213–00.0314%19 Jul →
inferno3–9-0.148%19 Jul →
cache11–13-0.0621%18 Jul →
mirage8–13-0.0522%18 Jul →
inferno3–13-0.0531%17 Jul →
mirage13–60.0418%17 Jul →
inferno13–100.0120%17 Jul →
inferno1–9-0.2033%17 Jul →
nuke15–15-0.0427%16 Jul →
dust211–13-0.0628%16 Jul →
ancient13–60.0534%16 Jul →
inferno7–30.0145%16 Jul →
ancient15–150.0831%16 Jul →
mirage13–90.0625%14 Jul →
dust213–110.0234%14 Jul →
anubis13–70.0418%14 Jul →

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 →

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