SonniSonick91

SonniSonick91 — CS2 Stats

FI76561198280374922[U:1:320109194]Steam profile ↗✓ No bans

1,973Tracked matches38%Win rate2022Tracked since
1,662Hours in CS13Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Premier CS Rating5,360Light Blue band · top ~77.1% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 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: 5,360 -1,221 29 May – 13 Oct · 22 days played
4,0298,685peak 8,68529 May13 Oct
8,685Peak Premier in tracked matches
29Days played since 2026-05-29

Premier CS Rating

  • 3,325 below peak (8,685)
  • +736 over 30 days · improving
  • Next: Blue band at 10,000 — 4,640 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-23

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 5 among CSDB-tracked players (n=13,888), 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 5 medianLevel 6 medianvs Level 6
Headshot rate42.0%43.7%44.8%2.8% short
Shot accuracy9.5%12.0%12.4%2.9% short
Kill/death ratio0.781.021.030.25 short
Match win rate38.6%44.7%45.2%6.6% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSonniSonick91FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER5,360 · 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

Aim34
Positioning43
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY40–56–4Last 10040%Win rateLLWLWWWLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.9pp headshot accuracy · −17ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 683ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 684ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 692ms

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 (+2.1 against its own average).

Aim3.4
Utility3.6
Positioning4.3
Opening Duels1.0
Clutch0.0

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

ZywOo

Plays most like ZywOo 73% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 53% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 663ms 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

Aim3.4
Positioning4.3
Utility3.6
Mechanics4.8
Opening Duels3.3
Win Impact1.0

Composite 3.2/10 (Learning), 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 -0.05 → last ⅓ avg -0.02
Reaction time663ms−14ms
first ⅓ avg 677ms → last ⅓ avg 663ms
Headshot accuracy16.9%+3.7%
first ⅓ avg 13.2% → last ⅓ avg 16.9%

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

0.22Best match rating · 9–6 · eldorado, 10 Oct →
39%Best headshot accuracy · 13–5 · mirage, 10 Oct →
391msFastest reaction time · 2–13 · inferno, 6 Sept →
13–1Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
7Overtime games

Map breakdown

cacheBest map · 67% over 6nukeWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.03
infernoC207–1335%-0.03
nukeD195–1426%-0.03
anubisA138–562%-0.01
ancientC83–538%-0.02
dust2A74–357%-0.06
cacheS64–267%-0.02
overpass—21–150%-0.08
eldorado—11–0100%0.22
train—10–10%-0.02
poseidon—10–10%-0.20
vertigo—10–10%-0.23
debris—10–10%-0.20

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,705Lifetime kills
0.78K/D
2,239Matches
38.6%Match win rate
42.0%Headshot %
9.5%Shot accuracy
3,618MVPs
879Hours (in match)
3,063Bombs planted
309Bombs defused

Most-used weapons

AK-476,046
AWP2,582
AUG1,651
MP91,371
P901,295
SG 5531,083

Lifetime map wins

5,936nuke
4,432inferno
2,149vertigo
1,012dust2
726train
144lake
103office
15safehouse

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

Faceit stats

Combat

10Matches
40%Win rate
0.61Avg K/D
73.3ADR
36%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo367%0.7812.3
Nuke20%0.437.0
Anubis250%0.4910.0
Dust210%0.707.0
Overpass10%0.507.0
Inferno1100%0.6911.0

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.

16.5%Headshot accuracy
27.7%Accuracy (enemy spotted)
29.5%Spray accuracy
71.6%Counter-strafing
10.7°Preaim
663msReaction time
52.5%T opening success
34.3%CT opening success
0.48Enemies flashed / flash
1.8%Flash assists
7.96HE damage / grenade
2.75Flashes / 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 0.4764 — 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 34.282% — 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.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient9–13-0.0720%13 Oct →
dust26–13-0.0626%12 Oct →
mirage13–7-0.0414%12 Oct →
inferno10–13-0.0524%11 Oct →
cache13–10-0.0220%11 Oct →
mirage13–50.0139%10 Oct →
eldorado9–60.2216%10 Oct →
inferno8–13-0.0714%9 Oct →
anubis4–13-0.1326%9 Oct →
mirage7–130.0116%9 Oct →
inferno6–9-0.0237%9 Oct →
anubis16–14-0.0513%9 Oct →
train3–13-0.0210%9 Oct →
ancient1–13-0.0514%5 Oct →
mirage5–13-0.0423%5 Oct →
dust213–10-0.0624%5 Oct →
mirage13–10.1125%5 Oct →
nuke8–13-0.0222%5 Oct →
dust210–1-0.0810%5 Oct →
dust25–13-0.0319%5 Oct →
mirage10–130.0122%27 Sept →
anubis13–90.0117%26 Sept →
mirage15–15-0.0012%26 Sept →
nuke9–13-0.076%26 Sept →
inferno10–13-0.069%18 Sept →
mirage3–13-0.067%18 Sept →
nuke7–130.0113%18 Sept →
anubis6–13-0.066%18 Sept →
nuke10–13-0.0424%18 Sept →
nuke13–8-0.056%18 Sept →
nuke13–8-0.035%17 Sept →
anubis13–30.0514%17 Sept →
inferno13–2-0.038%17 Sept →
poseidon7–9-0.2022%17 Sept →
cache13–5-0.0527%17 Sept →
mirage13–9-0.0510%17 Sept →
mirage13–16-0.0216%16 Sept →
ancient5–13-0.0413%6 Sept →
nuke4–13-0.059%6 Sept →
inferno13–90.1119%6 Sept →
nuke2–13-0.0921%6 Sept →
inferno2–13-0.0820%6 Sept →
anubis13–50.1023%6 Sept →
cache13–60.1136%6 Sept →
anubis13–20.0618%6 Sept →
nuke0–13-0.0714%27 Aug →
inferno8–13-0.0315%27 Aug →
anubis7–130.0616%26 Aug →
inferno13–7-0.043%26 Aug →
mirage13–10-0.0218%26 Aug →
inferno10–13-0.064%26 Aug →
anubis13–5-0.0121%26 Aug →
dust26–13-0.1516%23 Aug →
cache13–6-0.0310%21 Aug →
nuke10–130.0220%21 Aug →
nuke1–130.0221%21 Aug →
inferno0–13-0.0920%21 Aug →
nuke13–8-0.0019%21 Aug →
inferno13–2-0.0321%20 Aug →
ancient13–20.0418%20 Aug →
ancient8–13-0.0414%20 Aug →
nuke13–80.038%20 Aug →
anubis10–13-0.0318%17 Aug →
nuke13–8-0.0413%17 Aug →
mirage11–13-0.0524%16 Aug →
inferno13–8-0.0421%16 Aug →
ancient13–40.0520%16 Aug →
dust213–10-0.0219%16 Aug →
cache5–13-0.0625%15 Aug →
mirage7–13-0.1121%15 Aug →
nuke10–13-0.0214%13 Aug →
anubis9–13-0.088%13 Aug →
ancient8–13-0.0616%13 Aug →
inferno15–15-0.027%13 Aug →
nuke15–150.0214%13 Aug →
mirage3–13-0.036%13 Aug →
vertigo4–9-0.230%13 Aug →
debris3–9-0.2019%13 Aug →
mirage7–13-0.0711%12 Aug →
inferno2–13-0.0329%13 Jun →
inferno6–13-0.076%13 Jun →
overpass3–13-0.0717%13 Jun →
nuke9–13-0.0319%13 Jun →
mirage16–13-0.088%9 Jun →
inferno6–130.0623%9 Jun →
mirage6–13-0.0711%9 Jun →
mirage15–15-0.027%8 Jun →
inferno13–6-0.019%8 Jun →
inferno9–13-0.0317%7 Jun →
inferno13–3-0.0216%7 Jun →
mirage13–8-0.0315%7 Jun →
dust213–20.0114%7 Jun →
anubis13–40.0418%3 Jun →
cache5–13-0.0410%3 Jun →
anubis13–11-0.0211%3 Jun →
mirage9–13-0.084%3 Jun →
ancient13–100.0411%3 Jun →
overpass13–9-0.109%2 Jun →
nuke2–13-0.0917%2 Jun →
nuke0–13-0.077%29 May →

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.