Sande

Sande — CS2 Stats

FI76561198077136353[U:1:116870625]Steam profile ↗✓ No bans

1,670Tracked matches43%Win rate2020Tracked since
4,258Hours in CS40Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating17,528Purple band · top ~18.3% of ranked players (population est.)
FaceitLevel 6 · 1,264 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Apr 2026 (185 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: 17,528 -1,249 2 Apr – 13 Apr · 6 days played
17,49119,413peak 19,4132 Apr13 Apr
19,999Peak Premier in tracked matches
1,264Highest Faceit ELO seen on CSDB
36Days played since 2026-04-02

Faceit ELO

  • At peak — 1,264
  • Next: Level 7 at 1,351 — 87 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,885 below peak (19,413)
  • Next: Pink band at 20,000 — 2,472 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 6 among CSDB-tracked players (n=13,110), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.3%44.8%45.7%3.4% short
Shot accuracy8.8%12.4%12.7%4.0% short
Kill/death ratio0.931.031.050.12 short
Match win rate46.6%45.2%45.7%meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSandeFACEITLevel 6 · 1,264 ELOSTANDINGTop 54.0% of rankedPREMIER17,528 · Purple bandPEAK ELO1,264csdb.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

Aim64
Positioning62
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY39–54–7Last 10039%Win rateWLWWLLWWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +2.6pp headshot accuracy · +70ms 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 0.01
  • Avg headshot accuracy 32%
  • Avg reaction 664ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 642ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 25%
  • Avg reaction 607ms

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).

Aim6.4
Utility5.7
Positioning6.2
Opening Duels3.4
Clutch4.4

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 81% 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

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

Aim6.4
Positioning6.2
Utility5.7
Mechanics6.8
Opening Duels4.8
Win Impact2.6

Composite 5.8/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time635ms−18ms
first ⅓ avg 653ms → last ⅓ avg 635ms
Headshot accuracy24.2%+2.3%
first ⅓ avg 21.9% → last ⅓ avg 24.2%

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

0.20Best match rating · 5–1 · rush_001, 14 Oct →
56%Best headshot accuracy · 7–9 · poseidon, 14 Sept →
109msFastest reaction time · 0–5 · office, 27 Sept →
13–1Biggest win · office, 26 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 67% over 6fachwerkWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeC3715–2241%0.01
mirageD93–633%-0.01
fachwerkD72–529%-0.04
infernoS64–267%-0.02
poseidonD62–433%-0.00
anubisD62–433%-0.00
rush_001—43–175%0.03
ancient—40–40%-0.05
overpass—42–250%-0.01
dust2—41–325%-0.01
vertigo—30–30%-0.06
nuke—32–167%-0.03
shelter—20–20%-0.06
boulder—10–10%-0.06
debris—11–0100%0.01
cache—10–10%-0.01
alpine—11–0100%-0.06
italy—11–0100%0.05

Across the last 100 tracked matches.

Lifetime stats

75,427Lifetime kills
0.93K/D
4,655Matches
46.6%Match win rate · Top 50% of Level 6 players
42.3%Headshot %
8.8%Shot accuracy
8,941MVPs
2,015Hours (in match)
3,112Bombs planted
1,198Bombs defused

Most-used weapons

AK-4720,732
AWP10,484
MAC-102,377
MP91,899
P901,898
FAMAS1,833

Lifetime map wins

9,919dust2
8,626inferno
4,097nuke
1,750office
1,079train
786vertigo
124assault
94italy

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

Faceit stats

Combat

427Matches
50%Win rate
1.03Avg K/D
76.8ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8249%1.0215.2
Nuke4558%1.1116.9
Dust24445%1.0014.3
Inferno3543%1.0716.3
Ancient2752%1.0014.4
Overpass1963%1.1814.7
Anubis1861%1.2316.8
Train944%1.2615.2

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.

22.3%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.2%Spray accuracy
80.4%Counter-strafing
11.2°Preaim
618msReaction time
50.8%T opening success
47.9%CT opening success
0.45Enemies flashed / flash
8.8%Flash assists
9.80HE damage / grenade
15.40Flashes / 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 0.4499 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–20.0024%15 Oct →
boulder5–13-0.0633%15 Oct →
rush_0018–50.0040%14 Oct →
rush_0015–10.2040%14 Oct →
rush_0016–8-0.0920%13 Oct →
office10–130.0319%3 Oct →
rush_0017–30.0029%3 Oct →
office13–80.0321%2 Oct →
inferno13–9-0.0315%29 Sept →
vertigo7–13-0.0625%29 Sept →
office9–130.0526%28 Sept →
office0–5-0.110%27 Sept →
office8–130.1440%27 Sept →
vertigo4–13-0.0613%26 Sept →
office13–10.0115%26 Sept →
shelter8–13-0.0133%26 Sept →
fachwerk13–10.0333%26 Sept →
office13–10-0.0426%26 Sept →
office5–13-0.0222%26 Sept →
office13–6-0.0531%25 Sept →
office9–130.0621%25 Sept →
ancient8–13-0.0619%25 Sept →
office12–12-0.0326%25 Sept →
fachwerk12–12-0.0620%25 Sept →
office13–70.0820%25 Sept →
office13–4-0.0219%24 Sept →
office10–130.0420%24 Sept →
office13–60.1418%24 Sept →
fachwerk11–13-0.0626%24 Sept →
office10–130.0110%24 Sept →
poseidon8–8-0.0419%14 Sept →
vertigo8–13-0.0514%14 Sept →
poseidon7–9-0.0456%14 Sept →
debris9–50.0123%14 Sept →
office13–110.0419%13 Sept →
office13–50.1714%13 Sept →
office5–130.0333%13 Sept →
office9–13-0.0138%11 Sept →
poseidon4–9-0.0238%11 Sept →
fachwerk12–12-0.0224%11 Sept →
office5–13-0.0115%11 Sept →
office5–13-0.043%8 Sept →
office8–130.0128%7 Sept →
office4–60.019%7 Sept →
shelter7–13-0.1118%6 Sept →
fachwerk6–3-0.040%6 Sept →
poseidon9–40.0128%3 Sept →
poseidon2–9-0.1130%2 Sept →
mirage12–12-0.0414%2 Sept →
fachwerk12–12-0.1018%2 Sept →
fachwerk13–100.0037%1 Sept →
office9–13-0.0619%1 Sept →
office9–13-0.0233%27 Aug →
office13–90.0114%26 Aug →
anubis2–70.0828%6 Aug →
office13–80.0214%15 Jul →
office13–3-0.0719%28 Jun →
office9–13-0.0329%26 May →
office13–10-0.0623%3 May →
cache6–13-0.0142%3 May →
office4–13-0.0814%22 Apr →
ancient10–13-0.0436%22 Apr →
mirage14–16-0.0627%15 Apr →
anubis8–13-0.0226%13 Apr →
overpass13–90.0519%13 Apr →
office6–130.0115%12 Apr →
mirage11–130.0124%11 Apr →
inferno11–13-0.0518%7 Apr →
overpass9–13-0.0515%7 Apr →
mirage11–13-0.0119%7 Apr →
inferno13–70.0532%7 Apr →
dust28–13-0.0513%7 Apr →
dust213–160.0334%7 Apr →
office13–60.0623%7 Apr →
nuke13–3-0.088%6 Apr →
anubis13–16-0.0819%6 Apr →
anubis13–60.1020%6 Apr →
mirage13–5-0.0010%6 Apr →
anubis5–13-0.0814%6 Apr →
nuke13–90.0317%6 Apr →
nuke6–13-0.0513%5 Apr →
mirage13–70.0827%5 Apr →
alpine13–6-0.0639%5 Apr →
inferno9–7-0.0226%5 Apr →
poseidon9–20.2033%5 Apr →
italy13–60.0536%5 Apr →
office10–13-0.0332%5 Apr →
dust28–13-0.0413%2 Apr →
overpass16–120.0033%2 Apr →
mirage13–60.0229%2 Apr →
anubis13–5-0.0119%2 Apr →
ancient7–13-0.0637%2 Apr →
office12–120.0221%2 Apr →
overpass7–13-0.0421%2 Apr →
ancient7–13-0.0621%2 Apr →
inferno8–13-0.0516%2 Apr →
mirage5–13-0.1111%2 Apr →
mirage9–13-0.0114%2 Apr →
dust213–110.0124%2 Apr →
inferno13–7-0.0319%2 Apr →

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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