Spas

Spas — CS2 Stats

DK76561197997452000[U:1:37186272]Steam profile ↗✓ No bans

617Tracked matches46%Win rate2021Tracked since
1,368Hours in CS14Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating16,294Purple band · top ~23.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (3 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 17 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,294 +3,533 17 Jun14 Sept · 11 days played
11,94217,000peak 17,00017 Jun14 Sept
17,124Peak Premier in tracked matches
39Days played since 2026-06-17

Premier CS Rating

  • 706 below peak (17,000)
  • -286 over 30 days · steady
  • +3,533 over 90 days
  • Next: Pink band at 20,000 3,706 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. 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate34.7%44.3%47.0%12.3% short
Shot accuracy15.4%11.8%13.0%above
Kill/death ratio1.121.031.08above
Match win rate46.3%45.2%46.7%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGSpasPREMIER16,294 · Purple bandcsdb.gg/stats

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Performance scores

Aim71
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY45496Last 10045%Win rateLTLLLWWWWL

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −1.7pp headshot accuracy · +41ms reaction

Win rate down 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

  • 041 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 26%
  • Avg reaction 704ms

Last 10

  • 451 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 671ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 651ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim7.1
Utility4.5
Positioning5.4
Opening Duels4.6
Clutch1.0

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 630ms 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

Aim7.1
Positioning5.4
Utility4.5
Mechanics4.8
Opening Duels5.4
Win Impact3.8

Composite 5.5/10 (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 rating0.03+0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time644ms−9ms
first ⅓ avg 653ms → last ⅓ avg 644ms
Headshot accuracy27.7%+5.3%
first ⅓ avg 22.4% → last ⅓ avg 27.7%

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

0.26Best match rating · 13–1 · cache, 18 Jun
64%Best headshot accuracy · 13–1 · cache, 18 Jun
438msFastest reaction time · 3–2 · cache, 7 Sept
13–1Biggest win · cache, 6 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
66In matches decided by ≤2 rounds
1Overtime games

Map breakdown

mirageBest map · 80% over 5nukeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB67313646%0.05
nukeD92722%-0.01
ancientC73443%0.03
mirageS54180%0.00
infernoA53260%0.03
dust221150%-0.04
overpass2020%0.01
anubis21150%-0.03
train1010%0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,117Lifetime kills
1.12K/D · Top 50% of Purple band
1,804Matches
46.3%Match win rate · Top 50% of Purple band
34.7%Headshot %
15.4%Shot accuracy · Top 25% of Purple band
4,614MVPs
738Hours (in match)
2,617Bombs planted
559Bombs defused

Most-used weapons

Lifetime map wins

3,391dust2
2,690inferno
1,237nuke
658train
360cbble
32assault
32vertigo
31office

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

Faceit stats

Combat

61Matches
44%Win rate
0.98Avg K/D
74.4ADR
31%Headshot %

Clutches & streaks

25%1v1 clutch win
35%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%1.0716.3
Dust24100%1.2613.8
Nuke450%0.8111.5
Inferno367%1.4015.0
Anubis367%1.2318.0
Ancient20%0.7011.0

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.

26.3%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.5%Spray accuracy
71.4%Counter-strafing
10.7°Preaim
630msReaction time
53.1%T opening success
50.3%CT opening success
0.42Enemies flashed / flash
5.4%Flash assists
8.42HE damage / grenade
7.97Flashes / 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 0.4227 — below the 0.5 mark we flag

    Grenade Lineups
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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0236%14 Sept
cache12–120.0119%14 Sept
cache4–13-0.0532%13 Sept
cache8–130.0730%13 Sept
cache9–130.0015%13 Sept
cache13–8-0.0618%13 Sept
cache13–80.0526%13 Sept
cache13–70.0624%9 Sept
cache13–50.1433%8 Sept
cache11–13-0.0222%8 Sept
cache5–13-0.0228%8 Sept
cache13–20.1450%7 Sept
cache13–80.0713%7 Sept
cache2–10.0233%7 Sept
cache3–20.1120%7 Sept
cache5–13-0.0123%6 Sept
cache13–50.1621%6 Sept
cache12–12-0.0129%6 Sept
cache13–70.0724%6 Sept
cache13–10.1432%6 Sept
cache13–30.0533%6 Sept
cache3–13-0.0218%5 Sept
cache13–110.0118%5 Sept
cache4–130.0028%3 Sept
cache13–100.0831%2 Sept
cache5–130.0339%31 Aug
cache4–130.0620%31 Aug
cache0–9-0.1150%30 Aug
cache7–13-0.0244%29 Aug
cache8–130.0227%29 Aug
cache9–130.1023%28 Aug
cache12–120.0430%26 Aug
cache6–130.0223%25 Aug
cache10–13-0.0523%25 Aug
cache13–20.0615%25 Aug
cache13–80.0111%24 Aug
cache3–130.0118%24 Aug
nuke13–8-0.0422%24 Aug
cache13–70.0718%24 Aug
cache4–130.0230%23 Aug
cache13–70.128%23 Aug
cache13–100.0627%23 Aug
cache9–13-0.0325%23 Aug
cache13–20.0440%23 Aug
cache13–50.1340%23 Aug
cache13–80.0120%18 Aug
cache13–110.0411%17 Aug
cache7–130.0518%17 Aug
cache13–80.1417%17 Aug
cache13–110.0526%17 Aug
cache13–80.0322%17 Aug
ancient6–13-0.0712%17 Aug
nuke2–13-0.0524%16 Aug
cache13–80.1026%16 Aug
nuke11–130.0223%13 Aug
nuke6–13-0.0110%9 Aug
ancient13–40.0521%9 Aug
nuke13–60.0219%7 Aug
nuke8–130.0519%7 Aug
cache2–13-0.0345%2 Aug
dust213–10-0.0013%2 Aug
dust22–13-0.0726%30 Jul
mirage13–60.0911%30 Jul
cache11–130.0415%29 Jul
inferno13–30.0813%29 Jul
inferno8–130.0519%28 Jul
cache10–13-0.038%28 Jul
overpass3–13-0.0116%28 Jul
inferno13–40.0111%28 Jul
inferno6–13-0.0016%26 Jul
cache9–130.0626%26 Jul
cache10–130.0730%26 Jul
cache12–120.0720%25 Jul
cache12–12-0.0020%16 Jul
cache5–13-0.0112%14 Jul
cache13–90.0432%14 Jul
mirage9–13-0.0535%13 Jul
cache13–40.0628%13 Jul
cache6–130.0120%13 Jul
mirage13–4-0.0810%13 Jul
ancient14–160.0310%12 Jul
cache4–130.0325%12 Jul
mirage13–5-0.0022%12 Jul
anubis13–110.028%12 Jul
ancient13–110.1121%11 Jul
mirage13–30.0625%11 Jul
ancient8–130.0925%27 Jun
cache13–100.1416%21 Jun
overpass2–130.0222%21 Jun
ancient13–6-0.0119%19 Jun
anubis0–9-0.087%19 Jun
cache12–120.0342%19 Jun
cache13–10.2664%18 Jun
nuke11–13-0.0215%18 Jun
inferno13–50.0218%18 Jun
train8–130.0521%17 Jun
cache13–90.1729%17 Jun
nuke9–13-0.0515%17 Jun
nuke4–13-0.0521%17 Jun
cache10–130.1439%17 Jun

Match data via Leetify.

Recent teammates

Milestones

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