Sandvika

Sandvika — CS2 Stats

NO76561199070879245[U:1:1110613517]Steam profile ↗✓ No bans

2,197Tracked matches53%Win rate2021Tracked since
2,994Hours in CS35Hrs last 2 wks
CSDB Rating4.2 DevelopingPositional Player
Premier CS Rating14,236Blue band · top ~32.4% of ranked players (population est.)
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 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: 14,236 -2,091 1 Sept – 26 Oct · 18 days played
13,87416,460peak 16,4601 Sept26 Oct
Faceit ELO: 724 +0 1 Sept – 23 Sept · 3 observations
724724peak 7241 Sept23 Sept
16,460Peak Premier in tracked matches
724Highest Faceit ELO seen on CSDB
29Days played since 2026-09-01

Premier CS Rating

  • 2,224 below peak (16,460)
  • -1,228 over 30 days · declining
  • Next: Purple band at 15,000 — 764 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches12553+72
Win rate51%49%+2pp
K/D0.790.72+0.07
Headshot %49%52%−3pp

Measured 23 Sep 2026 → 28 Oct 2026; previous 1 Sep 2026 → 23 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate42.5%45.7%46.8%4.3% short
Shot accuracy10.0%12.7%13.0%3.0% short
Kill/death ratio0.791.051.060.27 short
Match win rate40.2%45.7%46.3%6.1% short

This profile sits below the typical Level 8 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSandvikaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER14,236 · Blue bandPEAK ELO724csdb.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

Aim50
Positioning46
Utility42

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateLWLWWWWLWW

Last 10 vs previous 10: +30pp win rate · −0.01 avg rating · −3.1pp headshot accuracy · +13ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 611ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 578ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 572ms

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 (+1.5 against its own average).

Aim5.0
Utility4.2
Positioning4.6
Opening Duels0.6
Clutch2.8

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 79% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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 49% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0
Positioning4.6
Utility4.2
Mechanics3.5
Opening Duels2.7
Win Impact6.1

Composite 4.2/10 (Developing), 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-0.04−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.04
Reaction time552ms+0ms
first ⅓ avg 551ms → last ⅓ avg 552ms
Headshot accuracy15.4%−4.4%
first ⅓ avg 19.9% → last ⅓ avg 15.4%

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

0.15Best match rating · 4–0 · rush_001, 26 Sept →
36%Best headshot accuracy · 13–3 · mirage, 1 Oct →
375msFastest reaction time · 13–11 · inferno, 25 Oct →
13–1Biggest win · ancient, 25 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
12–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC229–1341%-0.05
dust2B199–1047%-0.01
mirageA169–756%0.00
ancientA127–558%-0.03
anubisA117–464%-0.02
nukeS86–275%-0.01
infernoD62–433%-0.05
rush_001—32–167%-0.00
train—20–20%-0.04
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

68,271Lifetime kills
0.79K/D
5,342Matches
40.2%Match win rate
42.5%Headshot %
10.0%Shot accuracy
7,549MVPs
1,587Hours (in match)
5,908Bombs planted
814Bombs defused

Most-used weapons

AK-4720,446
AWP3,053
MP92,542
MAC-102,473
FAMAS1,398

Lifetime map wins

5,002dust2
4,787nuke
4,745inferno
1,430vertigo
1,332train
285lake
250office
131safehouse

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

Faceit stats

Combat

465Matches
52%Win rate
0.76Avg K/D
63.7ADR
50%Headshot %

Clutches & streaks

34%1v1 clutch win
14%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust28548%0.8112.0
Mirage8540%0.6710.3
Ancient8449%0.7212.1
Anubis6758%0.7914.0
Cache5556%0.7012.1
Nuke4072%0.8212.8
Inferno2462%0.9813.0
Vertigo862%0.8613.1

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.

15.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
35.4%Spray accuracy
65.7%Counter-strafing
11.2°Preaim
552msReaction time
48.6%T opening success
33.2%CT opening success
0.43Enemies flashed / flash
7.8%Flash assists
5.86HE damage / grenade
4.73Flashes / 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 0.4281 — 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 33.1836% — below the 40% mark we flag

Spend your practice time on Inferno

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 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0820%27 Oct →
cache13–110.0117%26 Oct →
cache7–13-0.079%26 Oct →
cache13–8-0.0710%25 Oct →
ancient13–7-0.068%25 Oct →
cache13–70.0112%25 Oct →
dust213–8-0.0223%25 Oct →
cache2–13-0.0613%25 Oct →
ancient13–1-0.0013%25 Oct →
ancient13–8-0.0716%25 Oct →
cache13–4-0.089%25 Oct →
inferno13–11-0.0918%25 Oct →
dust210–13-0.059%24 Oct →
cache9–13-0.0614%24 Oct →
dust210–13-0.0131%24 Oct →
nuke13–60.0523%24 Oct →
inferno11–13-0.0219%23 Oct →
dust213–9-0.0216%23 Oct →
ancient14–160.0224%23 Oct →
anubis8–13-0.069%22 Oct →
ancient13–50.0418%22 Oct →
inferno6–13-0.0613%22 Oct →
nuke13–11-0.069%22 Oct →
ancient16–14-0.0410%22 Oct →
inferno6–13-0.0816%21 Oct →
cache13–60.0021%21 Oct →
cache6–13-0.0811%17 Oct →
mirage16–13-0.0325%17 Oct →
ancient10–13-0.1013%17 Oct →
vertigo13–16-0.0415%17 Oct →
mirage9–13-0.0319%17 Oct →
nuke13–40.0711%17 Oct →
mirage13–9-0.0118%17 Oct →
ancient14–16-0.0514%17 Oct →
cache13–10-0.0412%17 Oct →
mirage11–13-0.0216%16 Oct →
dust27–130.0034%16 Oct →
anubis13–6-0.0528%16 Oct →
cache13–70.0022%16 Oct →
inferno5–13-0.0512%16 Oct →
cache8–13-0.056%16 Oct →
mirage10–13-0.0515%15 Oct →
ancient16–14-0.0420%15 Oct →
anubis13–100.0917%14 Oct →
dust216–14-0.0224%14 Oct →
dust213–16-0.0621%13 Oct →
nuke13–9-0.104%13 Oct →
mirage9–13-0.0820%12 Oct →
anubis13–5-0.0213%12 Oct →
dust211–13-0.0520%12 Oct →
mirage8–13-0.1028%12 Oct →
cache13–7-0.0416%12 Oct →
cache13–11-0.0210%11 Oct →
dust213–9-0.0223%11 Oct →
train6–13-0.0916%11 Oct →
nuke9–130.0411%11 Oct →
mirage13–10-0.0514%10 Oct →
ancient13–70.0422%10 Oct →
cache8–13-0.0716%10 Oct →
anubis13–11-0.0127%10 Oct →
train12–120.0219%9 Oct →
cache11–13-0.0821%8 Oct →
dust213–110.0519%6 Oct →
dust210–130.0325%6 Oct →
dust213–30.0129%6 Oct →
cache7–13-0.0619%5 Oct →
anubis11–13-0.0812%5 Oct →
anubis19–17-0.0214%4 Oct →
mirage7–13-0.0013%4 Oct →
mirage15–150.0321%3 Oct →
anubis7–13-0.0313%3 Oct →
mirage13–50.069%2 Oct →
mirage13–30.0314%2 Oct →
mirage13–80.1025%2 Oct →
dust213–110.0524%2 Oct →
anubis8–13-0.127%2 Oct →
dust213–8-0.0332%2 Oct →
mirage13–20.0716%2 Oct →
anubis13–80.0914%1 Oct →
dust213–80.0621%1 Oct →
cache11–13-0.0121%1 Oct →
mirage13–30.1436%1 Oct →
ancient4–13-0.0514%1 Oct →
cache11–13-0.0522%30 Sept →
mirage13–100.0126%30 Sept →
nuke3–13-0.0219%30 Sept →
dust22–13-0.0518%30 Sept →
ancient11–13-0.0320%29 Sept →
anubis13–6-0.0512%28 Sept →
nuke16–14-0.0432%27 Sept →
dust29–13-0.0221%27 Sept →
cache14–16-0.0610%27 Sept →
nuke13–7-0.0317%26 Sept →
cache14–16-0.0614%26 Sept →
dust210–13-0.0328%26 Sept →
rush_0014–8-0.1329%26 Sept →
rush_0017–3-0.0233%26 Sept →
rush_0014–00.1519%26 Sept →
dust21–13-0.0527%25 Sept →
inferno16–13-0.0415%25 Sept →

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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