Стонеслав

Стонеслав — CS2 Stats

76561198243188064[U:1:282922336]Steam profile ↗✓ No bans

864Tracked matches57%Win rate2020Tracked since
2,819Hours in CS2Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating17,756Purple band · top ~17.4% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 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: 17,756 -6,192 17 Jul – 13 Nov · 45 days played
17,74424,149peak 24,14917 Jul13 Nov
24,999Peak Premier in tracked matches
45Days played since 2026-07-17

Premier CS Rating

  • 6,393 below peak (24,149)
  • -2,232 over 30 days · declining
  • -1,523 over 90 days
  • Next: Pink band at 20,000 — 2,244 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-11-04
  • Blue band first seen 2026-11-04

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 Level 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate38.3%41.3%41.8%3.5% short
Shot accuracy14.0%12.7%12.2%above
Kill/death ratio0.920.950.980.06 short
Match win rate44.0%42.6%43.3%meets

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGСтонеславFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER17,756 · Purple 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

Aim51
Positioning66
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY43–54–3Last 10043%Win rateWWLWLWLLWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.3pp headshot accuracy · −33ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 636ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 613ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 630ms

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 (+1.3 against its own average).

Aim5.1
Utility4.4
Positioning6.6
Opening Duels4.0
Clutch6.0

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 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.1
Positioning6.6
Utility4.4
Mechanics4.0
Opening Duels7.2
Win Impact7.2

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time633ms−41ms
first ⅓ avg 674ms → last ⅓ avg 633ms
Headshot accuracy18.4%−2.1%
first ⅓ avg 20.4% → last ⅓ avg 18.4%

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 · 13–1 · dust2, 10 Nov →
46%Best headshot accuracy · 13–5 · mirage, 18 Jul →
469msFastest reaction time · 11–13 · mirage, 5 Sept →
13–1Biggest win · anubis, 13 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
10–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 55% over 22dust2Weakest map · 32% over 25
MapGradePlayedRecordWin rateAvg rating
dust2D258–1732%0.00
ancientA2212–1055%-0.00
mirageC145–936%-0.01
nukeC135–838%-0.01
anubisB126–650%0.02
infernoC104–640%-0.02
cache—43–175%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (32% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,431Lifetime kills
0.92K/D
3,760Matches
44.0%Match win rate · Top 50% of Level 2 players
38.3%Headshot %
14.0%Shot accuracy · Top 50% of Level 2 players
9,921MVPs
1,684Hours (in match)
3,547Bombs planted
800Bombs defused

Most-used weapons

AK-4718,440
AWP14,013
P902,723
FAMAS1,468
Tec-91,381

Lifetime map wins

13,955dust2
4,282inferno
3,658nuke
929train
753office
737vertigo
126cbble
102lake

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

Faceit stats

Combat

333Matches
50%Win rate
1.05Avg K/D
89.6ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
6%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis2361%1.1020.0
Ancient1267%1.3421.3
Mirage1250%1.0815.7
Dust21182%1.5020.1
Nuke956%1.0918.7
Inferno729%1.1017.6
Overpass450%0.6210.5
Vertigo333%1.0715.0

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.

18.0%Headshot accuracy
33.4%Accuracy (enemy spotted)
34.7%Spray accuracy
68.0%Counter-strafing
10.5°Preaim
629msReaction time
65.3%T opening success
52.2%CT opening success
0.53Enemies flashed / flash
5.8%Flash assists
9.99HE damage / grenade
8.69Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

32% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–70.1014%13 Nov →
anubis13–10.0228%13 Nov →
anubis5–13-0.0317%13 Nov →
dust213–10.1512%10 Nov →
inferno7–13-0.0215%23 Oct →
anubis13–10-0.0523%19 Oct →
ancient8–13-0.0226%19 Oct →
ancient9–13-0.028%19 Oct →
dust213–70.0120%18 Oct →
dust28–130.0616%18 Oct →
mirage7–13-0.065%17 Oct →
mirage9–130.049%16 Oct →
nuke4–130.0218%16 Oct →
ancient16–140.0519%15 Oct →
ancient8–130.0623%10 Oct →
ancient6–13-0.0417%10 Oct →
dust213–10-0.0434%9 Oct →
dust21–12-0.0622%7 Oct →
ancient5–13-0.0618%7 Oct →
ancient13–40.0816%4 Oct →
inferno13–11-0.0427%4 Oct →
cache13–90.0220%3 Oct →
nuke8–13-0.0611%3 Oct →
ancient13–9-0.0116%3 Oct →
mirage13–9-0.0514%3 Oct →
cache13–20.0418%3 Oct →
dust213–60.0731%3 Oct →
inferno13–5-0.0216%29 Sept →
anubis13–100.019%26 Sept →
mirage13–80.0120%26 Sept →
anubis10–130.0316%25 Sept →
inferno13–8-0.0322%25 Sept →
mirage11–130.0227%25 Sept →
nuke10–130.0615%21 Sept →
inferno14–160.0114%18 Sept →
ancient13–8-0.0013%18 Sept →
dust213–110.0412%18 Sept →
ancient7–13-0.099%12 Sept →
dust213–160.0124%12 Sept →
dust215–15-0.0215%10 Sept →
mirage11–130.0610%5 Sept →
mirage13–110.0716%4 Sept →
dust25–13-0.093%3 Sept →
dust28–13-0.0020%1 Sept →
ancient13–100.0016%29 Aug →
inferno15–15-0.0127%29 Aug →
nuke13–70.0120%29 Aug →
dust28–13-0.0216%29 Aug →
mirage13–10-0.0226%28 Aug →
inferno7–13-0.0319%27 Aug →
nuke13–100.0322%25 Aug →
ancient13–100.0718%25 Aug →
anubis15–150.0015%21 Aug →
nuke5–13-0.0635%16 Aug →
ancient13–110.0214%16 Aug →
dust213–9-0.0216%13 Aug →
nuke8–13-0.1020%10 Aug →
ancient13–6-0.0123%10 Aug →
dust210–130.0918%6 Aug →
dust213–90.0416%4 Aug →
dust213–11-0.029%3 Aug →
ancient13–110.0712%3 Aug →
inferno11–13-0.0233%3 Aug →
dust26–130.0318%2 Aug →
mirage5–13-0.0328%2 Aug →
ancient9–13-0.0119%2 Aug →
dust28–13-0.0433%2 Aug →
ancient6–13-0.0229%1 Aug →
anubis13–110.1222%1 Aug →
dust211–130.0210%1 Aug →
mirage7–13-0.0526%1 Aug →
ancient13–5-0.0315%1 Aug →
mirage7–130.0010%30 Jul →
cache6–13-0.0021%30 Jul →
nuke13–7-0.0624%28 Jul →
anubis12–160.0115%28 Jul →
mirage1–13-0.0519%28 Jul →
nuke11–130.0114%27 Jul →
inferno3–13-0.0710%27 Jul →
anubis13–30.0527%27 Jul →
dust26–130.0418%27 Jul →
inferno13–110.0724%26 Jul →
dust24–13-0.0232%26 Jul →
nuke13–16-0.0330%26 Jul →
anubis9–13-0.0416%24 Jul →
nuke10–13-0.0224%24 Jul →
mirage5–13-0.0019%24 Jul →
cache13–8-0.0022%24 Jul →
dust20–13-0.0818%24 Jul →
ancient13–90.0423%24 Jul →
ancient11–13-0.069%24 Jul →
nuke13–11-0.0810%23 Jul →
anubis13–90.0714%18 Jul →
dust25–13-0.0329%18 Jul →
mirage13–5-0.0346%18 Jul →
ancient7–13-0.0817%18 Jul →
dust21–13-0.0633%18 Jul →
anubis14–16-0.0113%17 Jul →
dust210–13-0.0420%17 Jul →
ancient13–40.0317%17 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 →

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