SolaZola

SolaZola — CS2 Stats

SK76561199840370304[U:1:1880104576]Steam profile ↗✓ No bans

190Tracked matches0%Win rate2025Tracked since
94Hours in CS
CSDB Rating1.8 LearningAll-Rounder
Premier CS Rating1,582Grey band · top ~93.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−2160Premier CS Rating · 3,742 → 1,582

Rating over time

Premier CS Rating: 1,582 -5,117 15 Oct – 27 Oct · 9 days played
1,58214,883peak 14,88315 Oct27 Oct
14,999Peak Premier in tracked matches
11Days played since 2026-10-15

Premier CS Rating

  • 13,301 below peak (14,883)
  • Next: Light Blue band at 5,000 — 3,418 to go
  • Reached: 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 Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate83.9%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio0.540.830.920.38 short
Match win rate13.3%40.2%42.3%29.0% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGSolaZolaPREMIER1,582 · Grey bandcsdb.gg/stats

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Performance scores

Aim8
Positioning11
Utility0

0–100 skill scores via Leetify.

Recent form

COLD36–62–2Last 10036%Win rateLLLLLLLLLL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.6pp headshot accuracy · +24ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 5%
  • Avg reaction 884ms

Last 10

  • 0–10 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 924ms

Last 20

  • 0–20 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 9%
  • Avg reaction 912ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim0.8
Utility0.0
Positioning1.1
Opening Duels0.0

Excellent counter-strafingLimited 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

m0NESY

Plays most like m0NESY 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Counter-strafing. 96% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Reaction time. 901ms 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

Aim0.8
Positioning1.1
Utility0.0
Mechanics10.0
Opening Duels0.0
Win Impact0.0

Composite 1.8/10 (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-0.06−0.06
first ⅓ avg 0.00 → last ⅓ avg -0.06
Reaction time910ms+184ms
first ⅓ avg 725ms → last ⅓ avg 910ms
Headshot accuracy8.7%−16.9%
first ⅓ avg 25.6% → last ⅓ avg 8.7%

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

0.23Best match rating · 4–13 · inferno, 17 Oct →
52%Best headshot accuracy · 7–13 · dust2, 18 Oct →
367msFastest reaction time · 13–11 · vertigo, 17 Oct →
13–0Biggest win · nuke, 19 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L32Current streak
4–1In matches decided by ≤2 rounds
4Overtime games

Map breakdown

vertigoBest map · 83% over 6ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
dust2D224–1818%-0.04
mirageD154–1127%-0.02
infernoD154–1127%0.01
cacheD155–1033%0.00
anubisD93–633%0.00
nukeS86–275%0.05
vertigoS65–183%0.03
ancientD50–50%-0.07
overpass—44–0100%0.03
train—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,760Lifetime kills
0.54K/D
415Matches
13.3%Match win rate
83.9%Headshot % · Top 1% of Grey band
0.0%Shot accuracy
353MVPs
94Hours (in match)
117Bombs planted
33Bombs defused

Most-used weapons

Lifetime map wins

179dust2
178nuke
119inferno
114vertigo
104train

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.

8.9%Headshot accuracy
14.7%Accuracy (enemy spotted)
32.0%Spray accuracy
95.5%Counter-strafing
12.6°Preaim
901msReaction time
10.0%T opening success
0.0%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
0.00Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6219° — above the 12° mark we flag

    Aim Training →
  2. 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 8.9364% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 901.2864ms — above the 700ms 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis0–13-0.0520%27 Oct →
mirage0–13-0.030%26 Oct →
mirage0–13-0.066%26 Oct →
anubis0–13-0.040%26 Oct →
dust20–13-0.080%26 Oct →
mirage0–13-0.050%26 Oct →
inferno0–13-0.0518%26 Oct →
anubis0–13-0.0410%26 Oct →
dust20–13-0.060%26 Oct →
anubis0–13-0.0529%26 Oct →
dust20–13-0.0411%26 Oct →
ancient0–13-0.050%25 Oct →
dust20–13-0.0530%25 Oct →
nuke0–13-0.100%25 Oct →
anubis0–13-0.070%25 Oct →
mirage0–13-0.0925%22 Oct →
mirage0–13-0.0633%22 Oct →
dust21–13-0.100%22 Oct →
cache0–13-0.060%22 Oct →
mirage0–13-0.060%22 Oct →
mirage0–13-0.0717%22 Oct →
cache0–13-0.0415%22 Oct →
cache0–13-0.090%22 Oct →
dust20–13-0.050%22 Oct →
dust20–13-0.0617%22 Oct →
inferno0–13-0.0511%22 Oct →
inferno0–13-0.050%22 Oct →
dust20–13-0.0218%22 Oct →
cache0–13-0.058%21 Oct →
cache0–13-0.070%21 Oct →
cache0–13-0.068%21 Oct →
dust20–13-0.070%21 Oct →
mirage2–3-0.0211%21 Oct →
inferno0–13-0.090%21 Oct →
dust20–13-0.0320%21 Oct →
mirage0–13-0.0920%21 Oct →
dust20–13-0.0620%21 Oct →
inferno0–13-0.119%21 Oct →
mirage0–13-0.0514%21 Oct →
mirage0–13-0.0725%21 Oct →
cache0–13-0.0518%21 Oct →
cache0–13-0.060%21 Oct →
inferno1–10-0.080%21 Oct →
inferno0–13-0.070%21 Oct →
inferno0–13-0.090%21 Oct →
cache4–60.1322%20 Oct →
cache13–60.0630%20 Oct →
nuke13–100.1329%20 Oct →
mirage13–20.0624%20 Oct →
inferno13–20.1722%20 Oct →
cache13–20.1628%20 Oct →
overpass13–60.0725%20 Oct →
overpass13–11-0.0224%20 Oct →
nuke16–140.0823%20 Oct →
ancient1–130.0013%20 Oct →
anubis13–40.0823%20 Oct →
anubis13–70.0732%20 Oct →
nuke13–60.2049%19 Oct →
nuke13–00.0829%19 Oct →
anubis16–130.1526%19 Oct →
inferno15–150.0928%19 Oct →
mirage16–130.0920%19 Oct →
dust27–130.0352%18 Oct →
cache13–30.0328%18 Oct →
inferno13–30.1027%18 Oct →
dust213–80.0724%18 Oct →
nuke13–90.0719%18 Oct →
cache13–3-0.0113%18 Oct →
vertigo12–120.0629%18 Oct →
vertigo13–3-0.0111%18 Oct →
vertigo13–50.0318%18 Oct →
overpass13–8-0.0226%18 Oct →
train13–70.0334%17 Oct →
vertigo13–70.0319%17 Oct →
inferno4–130.2328%17 Oct →
dust213–20.0327%17 Oct →
nuke13–7-0.0129%17 Oct →
dust213–30.0830%17 Oct →
vertigo13–110.1033%17 Oct →
overpass13–30.1014%17 Oct →
vertigo13–7-0.0247%17 Oct →
cache13–100.1942%16 Oct →
mirage13–00.1550%15 Oct →
mirage0–3-0.0350%15 Oct →
inferno0–13-0.0621%15 Oct →
dust20–13-0.0820%15 Oct →
dust20–13-0.0736%15 Oct →
dust213–40.0617%15 Oct →
inferno13–90.2229%15 Oct →
anubis0–13-0.060%15 Oct →
inferno0–13-0.070%15 Oct →
ancient1–13-0.118%15 Oct →
dust22–13-0.100%15 Oct →
cache0–13-0.0650%15 Oct →
ancient0–13-0.1010%15 Oct →
ancient0–13-0.1250%15 Oct →
dust20–13-0.0622%15 Oct →
nuke1–13-0.0338%15 Oct →
dust20–13-0.100%15 Oct →
dust20–13-0.0543%15 Oct →

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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