solois

solois — CS2 Stats

NO76561198169019958[U:1:208754230]Steam profile ↗✓ No bans

290Tracked matches57%Win rate2020Tracked since
1,521Hours in CS30Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating23,233Top 25% of 215,558 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#41706 of 261680 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 23,233 +2,615 15 Oct – 14 Nov · 22 days played
20,61024,366peak 24,36615 Oct14 Nov
24,387Peak Premier in tracked matches
29Days played since 2026-09-10

Premier CS Rating

  • 1,133 below peak (24,366)
  • +2,615 over 30 days · improving
  • Next: Red band at 25,000 — 1,767 to go
  • Reached: Pink band · 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 9 among CSDB-tracked players (n=15,553), 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 9 medianLevel 10 medianvs Level 10
Headshot rate37.6%48.2%50.9%13.3% short
Shot accuracy17.0%13.2%13.7%above
Kill/death ratio1.131.071.09above
Match win rate44.6%46.9%48.4%3.9% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsoloisFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,233 · Pink 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

Aim77
Positioning63
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLWWLWLWWWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −4.3pp headshot accuracy · +34ms 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 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 566ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 562ms

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 (+1.1 against its own average).

Aim7.7
Utility5.3
Positioning6.3
Opening Duels3.9

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

Twistzz

Plays most like Twistzz 88% 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 →

CSDB Rating breakdown

Aim7.7
Positioning6.3
Utility5.3
Mechanics5.5
Opening Duels5.6
Win Impact7.2

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time535ms−2ms
first ⅓ avg 537ms → last ⅓ avg 535ms
Headshot accuracy18.8%+0.2%
first ⅓ avg 18.5% → last ⅓ avg 18.8%

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

0.31Best match rating · 6–13 · cache, 2 Nov →
56%Best headshot accuracy · 6–13 · cache, 2 Nov →
375msFastest reaction time · 13–10 · ancient, 9 Nov →
13–0Biggest win · nuke, 12 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 76% over 17cacheWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB199–1047%0.03
dust2S1713–476%0.02
cacheC177–1041%0.04
infernoB157–847%0.04
ancientS128–467%0.01
anubisS96–367%0.03
nukeB63–350%0.08
train—21–150%0.00
fachwerk—10–10%-0.04
boulder—11–0100%-0.01
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

55,512Lifetime kills
1.13K/D · Top 50% of Level 9 players
2,242Matches
44.6%Match win rate
37.6%Headshot %
17.0%Shot accuracy · Top 25% of Level 9 players
5,608MVPs
921Hours (in match)
2,574Bombs planted
597Bombs defused

Most-used weapons

Lifetime map wins

5,282inferno
2,170dust2
931train
806cbble
718nuke
425vertigo
69office
35militia

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

Faceit stats

Combat

351Matches
55%Win rate
1.16Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo367%1.9717.0
Mirage20%0.8622.0
Ancient1100%1.0016.0

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.

17.2%Headshot accuracy
38.9%Accuracy (enemy spotted)
41.2%Spray accuracy
74.8%Counter-strafing
10.2°Preaim
533msReaction time
46.9%T opening success
57.8%CT opening success
0.43Enemies flashed / flash
6.9%Flash assists
9.70HE damage / grenade
8.88Flashes / 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 0.4347 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
fachwerk9–13-0.0413%14 Nov →
anubis13–50.0230%14 Nov →
nuke13–60.0719%14 Nov →
dust27–13-0.0516%14 Nov →
cache13–60.0712%14 Nov →
mirage4–13-0.067%14 Nov →
dust213–10-0.0120%13 Nov →
inferno13–6-0.0110%13 Nov →
mirage13–20.0410%13 Nov →
anubis7–130.0521%13 Nov →
nuke13–00.1922%12 Nov →
dust213–5-0.0124%12 Nov →
mirage3–130.0216%12 Nov →
nuke13–10.1515%12 Nov →
nuke8–13-0.0117%12 Nov →
cache5–110.0241%11 Nov →
mirage10–13-0.0218%11 Nov →
mirage13–9-0.0214%11 Nov →
dust213–7-0.0020%10 Nov →
ancient13–80.0212%10 Nov →
inferno8–13-0.0120%9 Nov →
ancient13–100.0012%9 Nov →
anubis13–60.1315%9 Nov →
ancient11–130.0214%9 Nov →
dust29–8-0.0712%9 Nov →
ancient4–13-0.0620%8 Nov →
inferno13–60.0123%8 Nov →
cache10–130.0214%8 Nov →
mirage13–100.0818%8 Nov →
anubis0–3-0.0150%7 Nov →
cache6–130.0922%7 Nov →
dust28–13-0.0126%6 Nov →
inferno9–130.0319%6 Nov →
anubis14–16-0.0518%6 Nov →
cache11–130.0813%6 Nov →
anubis13–7-0.0220%2 Nov →
ancient13–60.0616%2 Nov →
cache6–130.3156%2 Nov →
anubis13–100.0110%1 Nov →
dust25–130.0219%1 Nov →
ancient13–70.0230%1 Nov →
inferno13–80.0323%30 Oct →
inferno13–80.0623%30 Oct →
ancient13–9-0.0312%30 Oct →
dust213–40.0716%30 Oct →
cache10–13-0.0219%30 Oct →
mirage13–90.0514%29 Oct →
dust213–60.0922%29 Oct →
inferno13–40.1711%25 Oct →
cache13–9-0.0121%25 Oct →
nuke8–130.0722%25 Oct →
anubis13–10.1021%25 Oct →
mirage13–20.1220%25 Oct →
inferno13–110.0220%25 Oct →
inferno12–160.2219%25 Oct →
cache7–13-0.0413%23 Oct →
mirage6–13-0.0310%23 Oct →
mirage10–13-0.0221%23 Oct →
cache13–110.0526%22 Oct →
mirage10–13-0.0328%22 Oct →
cache13–30.1427%22 Oct →
mirage9–13-0.019%22 Oct →
cache13–100.0314%22 Oct →
dust213–40.0620%21 Oct →
dust213–70.1414%20 Oct →
cache13–30.0211%20 Oct →
dust213–100.0514%20 Oct →
mirage13–30.1524%20 Oct →
mirage13–40.0820%19 Oct →
cache5–13-0.0210%19 Oct →
inferno11–13-0.0420%19 Oct →
inferno13–100.0324%18 Oct →
ancient4–130.0319%18 Oct →
nuke5–130.0223%18 Oct →
mirage13–160.0117%18 Oct →
inferno14–16-0.0118%17 Oct →
mirage10–130.0924%17 Oct →
dust213–110.0316%17 Oct →
ancient13–40.0611%17 Oct →
inferno10–130.0822%17 Oct →
ancient13–11-0.0122%17 Oct →
mirage7–0-0.0215%17 Oct →
ancient10–130.0920%17 Oct →
inferno14–160.0615%17 Oct →
inferno8–130.000%15 Oct →
cache13–90.0213%15 Oct →
anubis13–70.059%15 Oct →
dust213–60.0626%14 Oct →
mirage0–5-0.0040%14 Oct →
dust213–100.0319%13 Oct →
ancient13–8-0.0125%13 Oct →
cache0–8-0.037%10 Oct →
train5–130.0222%10 Oct →
train13–6-0.0113%10 Oct →
cache12–120.0115%25 Sept →
boulder13–4-0.0143%25 Sept →
vertigo12–12-0.0322%23 Sept →
dust213–60.0516%17 Sept →
mirage13–60.0617%17 Sept →
dust21–10-0.056%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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