Svinet205

Svinet205 — CS2 Stats

76561198001255314[U:1:40989586]Steam profile ↗✓ No bans

1,230Tracked matches62%Win rate2020Tracked since
4,763Hours in CS22Hrs last 2 wks
CSDB Rating5.7 SolidSupport
Premier CS Rating14,680Blue band · top ~30.1% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (2 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: 14,680 +2,505 28 Jul – 24 Oct · 42 days played
10,54115,117peak 15,11728 Jul24 Oct
15,117Peak Premier in tracked matches
42Days played since 2026-07-28

Premier CS Rating

  • 437 below peak (15,117)
  • +1,133 over 30 days · improving
  • +2,505 over 90 days
  • Next: Purple band at 15,000 — 320 to go
  • Reached: Purple band · Blue band · Light Blue band

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 rate38.7%41.3%41.8%3.2% short
Shot accuracy17.5%12.7%12.2%above
Kill/death ratio0.960.950.98meets
Match win rate39.3%42.6%43.3%4.0% short

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

Widest gap: Match win 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.GGSvinet205FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER14,680 · 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

Aim62
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateWWLWLWLTWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · +27ms 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 700ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 627ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 614ms

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 (+1.6 against its own average).

Aim6.2
Utility5.8
Positioning5.0
Opening Duels1.8

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 84% 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. 618ms 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

Aim6.2
Positioning5.0
Utility5.8
Mechanics6.1
Opening Duels4.4
Win Impact9.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time619ms−25ms
first ⅓ avg 645ms → last ⅓ avg 619ms
Headshot accuracy13.1%−0.7%
first ⅓ avg 13.8% → last ⅓ avg 13.1%

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

0.16Best match rating · 13–7 · inferno, 10 Oct →
29%Best headshot accuracy · 13–11 · dust2, 28 Jul →
453msFastest reaction time · 13–7 · inferno, 10 Oct →
13–1Biggest win · anubis, 17 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
10–7In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 57% over 23ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%0.01
cacheB199–1047%-0.02
mirageB158–753%-0.01
nukeB158–753%-0.01
dust2C114–736%-0.02
ancientD113–827%-0.03
anubisB63–350%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

120,701Lifetime kills
0.96K/D · Top 50% of Level 2 players
6,503Matches
39.3%Match win rate
38.7%Headshot %
17.5%Shot accuracy · Top 25% of Level 2 players
11,173MVPs
2,575Hours (in match)
7,649Bombs planted
946Bombs defused

Most-used weapons

AK-4730,586
FAMAS11,642
MP72,735
AWP2,373
MP91,759

Lifetime map wins

15,748inferno
6,275nuke
3,044dust2
1,596vertigo
1,220cbble
640office
345train
272lake

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

Faceit stats

Combat

11Matches
27%Win rate
0.65Avg K/D
—ADR
33%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

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.

13.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
37.1%Spray accuracy
77.5%Counter-strafing
9.5°Preaim
618msReaction time
51.6%T opening success
43.7%CT opening success
0.55Enemies flashed / flash
3.2%Flash assists
7.52HE damage / grenade
7.32Flashes / 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 13.0128% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Ancient

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–14-0.0416%24 Oct →
dust216–14-0.0014%21 Oct →
cache8–13-0.038%18 Oct →
cache16–12-0.0215%17 Oct →
mirage9–130.016%17 Oct →
inferno13–80.0411%17 Oct →
ancient3–13-0.1111%17 Oct →
anubis15–150.0214%17 Oct →
anubis16–130.0512%17 Oct →
anubis13–1-0.0210%17 Oct →
ancient13–40.0313%17 Oct →
cache10–13-0.0410%16 Oct →
nuke13–7-0.0715%15 Oct →
mirage16–12-0.0410%13 Oct →
nuke9–130.037%13 Oct →
mirage8–13-0.0512%11 Oct →
inferno14–160.0118%11 Oct →
cache16–140.0313%10 Oct →
inferno13–9-0.0212%10 Oct →
cache3–13-0.0917%10 Oct →
inferno13–70.1613%10 Oct →
nuke9–13-0.0110%10 Oct →
inferno13–100.0413%9 Oct →
inferno13–11-0.0312%9 Oct →
inferno6–13-0.0215%9 Oct →
inferno13–90.0028%8 Oct →
mirage13–100.029%6 Oct →
cache13–100.069%6 Oct →
nuke13–8-0.058%4 Oct →
dust28–13-0.0527%4 Oct →
ancient7–13-0.049%2 Oct →
mirage3–13-0.0419%2 Oct →
mirage16–140.0314%2 Oct →
inferno13–70.0317%2 Oct →
inferno9–13-0.076%2 Oct →
nuke10–13-0.028%1 Oct →
ancient16–14-0.0515%1 Oct →
nuke13–20.0410%30 Sept →
cache16–14-0.0317%30 Sept →
cache14–16-0.0516%27 Sept →
dust210–13-0.0117%27 Sept →
nuke13–7-0.048%27 Sept →
cache13–11-0.0511%25 Sept →
mirage5–130.0114%24 Sept →
anubis7–13-0.0418%24 Sept →
mirage11–130.0813%23 Sept →
cache5–13-0.0310%21 Sept →
ancient11–13-0.035%19 Sept →
nuke13–70.0512%19 Sept →
inferno13–7-0.0215%19 Sept →
mirage16–13-0.0212%19 Sept →
nuke13–6-0.0121%19 Sept →
inferno8–13-0.0515%18 Sept →
nuke7–13-0.0712%18 Sept →
mirage13–10-0.0110%18 Sept →
ancient5–13-0.0421%18 Sept →
inferno10–130.019%18 Sept →
cache13–80.0115%16 Sept →
dust213–9-0.059%16 Sept →
cache9–13-0.0813%12 Sept →
nuke8–13-0.0319%12 Sept →
cache5–13-0.099%12 Sept →
ancient15–15-0.0714%12 Sept →
nuke13–10-0.0115%12 Sept →
inferno13–20.069%12 Sept →
cache11–130.0513%11 Sept →
anubis7–130.0312%11 Sept →
ancient3–13-0.067%11 Sept →
cache13–11-0.0311%10 Sept →
ancient13–60.0622%10 Sept →
dust27–13-0.0312%10 Sept →
inferno1–13-0.0212%7 Sept →
dust210–13-0.055%7 Sept →
inferno13–40.0618%3 Sept →
nuke13–70.0518%3 Sept →
cache13–5-0.0115%1 Sept →
mirage13–6-0.0110%29 Aug →
cache10–13-0.027%29 Aug →
mirage3–13-0.0713%28 Aug →
nuke9–13-0.0113%27 Aug →
ancient10–13-0.0113%23 Aug →
inferno15–15-0.0310%23 Aug →
dust213–9-0.008%22 Aug →
nuke4–130.0313%22 Aug →
inferno13–8-0.0320%20 Aug →
dust29–13-0.0220%14 Aug →
inferno11–130.0717%14 Aug →
inferno13–10.0713%14 Aug →
inferno9–130.0212%13 Aug →
cache13–100.0219%13 Aug →
anubis13–3-0.047%3 Aug →
mirage7–13-0.0213%3 Aug →
inferno7–13-0.0428%3 Aug →
dust23–13-0.043%1 Aug →
cache15–150.0117%1 Aug →
mirage13–9-0.0316%31 Jul →
ancient11–13-0.0312%31 Jul →
dust213–16-0.0210%31 Jul →
inferno13–6-0.0013%31 Jul →
dust213–11-0.0129%28 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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