Spastinen

Spastinen — CS2 Stats

FI76561197990334231[U:1:30068503]Steam profile ↗✓ No bans

2,415Tracked matches47%Win rate2021Tracked since
2,680Hours in CS62Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating8,066Light Blue band · top ~64.1% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+45Premier CS Rating · 8,021 → 8,066

Rating over time

Premier CS Rating: 8,066 +4,972 5 Sept – 5 Nov · 19 days played
3,09413,066peak 13,0665 Sept5 Nov
13,066Peak Premier in tracked matches
17Days played since 2026-09-05

Premier CS Rating

  • 5,000 below peak (13,066)
  • Next: Blue band at 10,000 — 1,934 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate33.1%39.9%42.0%8.9% short
Shot accuracy3.6%7.0%9.6%6.0% short
Kill/death ratio0.760.920.980.22 short
Match win rate41.0%42.3%43.8%2.8% short

This profile sits below the typical Blue band player on every metric we can compare.

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

Share this profile

CSDB.GGSpastinenPREMIER8,066 · Light Blue 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

Aim56
Positioning67
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY47–51–2Last 10047%Win rateLWWWLWWLLL

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating · +5.5pp headshot accuracy · +19ms reaction

Win rate up 30pp 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 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 484ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 540ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 530ms

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 (+1.7 against its own average).

Aim5.6
Utility4.0
Positioning6.7
Opening Duels5.4
Clutch4.0

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

s1mple

Plays most like s1mple 79% 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Counter-strafing. Only 69% 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

Aim5.6
Positioning6.7
Utility4.0
Mechanics4.2
Opening Duels7.3
Win Impact3.9

Composite 4.8/10 (Developing), 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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time533ms−57ms
first ⅓ avg 590ms → last ⅓ avg 533ms
Headshot accuracy12.8%+0.5%
first ⅓ avg 12.3% → last ⅓ avg 12.8%

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

0.17Best match rating · 13–3 · nuke, 24 Oct →
31%Best headshot accuracy · 9–13 · mirage, 4 Nov →
406msFastest reaction time · 11–13 · inferno, 1 Nov →
13–2Biggest win · dust2, 28 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 61% over 18anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC218–1338%-0.02
dust2A2011–955%-0.03
nukeA1811–761%0.00
infernoC146–843%-0.00
ancientC104–640%-0.03
cacheB105–550%-0.01
anubisD72–529%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,040Lifetime kills
0.76K/D
3,260Matches
41.0%Match win rate
33.1%Headshot %
3.6%Shot accuracy
4,535MVPs
1,311Hours (in match)
2,983Bombs planted
494Bombs defused

Most-used weapons

Lifetime map wins

4,936inferno
4,348nuke
3,773dust2
1,280vertigo
861train
54cbble
18lake
8office

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

Faceit stats

Combat

26Matches
38%Win rate
0.74Avg K/D
61.2ADR
28%Headshot %

Clutches & streaks

40%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno520%0.8611.4
Dust2560%0.8411.4
Mirage425%0.427.0
Nuke367%0.8511.7
Ancient250%1.3214.5
Vertigo250%0.508.5
Overpass10%0.7316.0

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.

12.2%Headshot accuracy
33.3%Accuracy (enemy spotted)
35.1%Spray accuracy
69.0%Counter-strafing
10.0°Preaim
527msReaction time
64.1%T opening success
54.2%CT opening success
0.57Enemies flashed / flash
4.2%Flash assists
4.99HE damage / grenade
3.24Flashes / 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. 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 12.1655% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2427 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.0016%5 Nov →
inferno13–90.1019%5 Nov →
dust213–90.0617%4 Nov →
nuke13–40.086%4 Nov →
mirage9–130.0115%4 Nov →
ancient13–60.0813%4 Nov →
cache13–40.0113%4 Nov →
nuke14–16-0.0317%4 Nov →
dust23–13-0.110%4 Nov →
mirage9–13-0.0631%4 Nov →
inferno4–13-0.0110%1 Nov →
inferno11–130.0017%1 Nov →
nuke5–13-0.057%31 Oct →
ancient11–130.0110%31 Oct →
dust210–130.008%31 Oct →
dust22–13-0.097%31 Oct →
inferno6–13-0.0814%31 Oct →
dust216–14-0.038%31 Oct →
dust211–13-0.023%31 Oct →
nuke13–9-0.038%31 Oct →
inferno0–13-0.0414%31 Oct →
nuke8–00.0320%31 Oct →
mirage3–13-0.0714%30 Oct →
cache13–100.005%30 Oct →
nuke13–11-0.027%30 Oct →
dust213–7-0.0210%30 Oct →
dust213–10-0.0519%30 Oct →
ancient5–13-0.0513%30 Oct →
nuke13–100.0111%30 Oct →
nuke13–110.0113%29 Oct →
mirage6–13-0.0318%29 Oct →
dust215–15-0.0615%29 Oct →
dust213–7-0.0524%29 Oct →
inferno13–10-0.038%28 Oct →
dust213–20.015%28 Oct →
dust213–5-0.027%28 Oct →
mirage11–13-0.0016%28 Oct →
mirage7–13-0.080%27 Oct →
nuke3–13-0.067%27 Oct →
inferno13–100.046%27 Oct →
nuke15–150.045%27 Oct →
anubis4–13-0.078%27 Oct →
ancient13–110.0216%26 Oct →
mirage16–120.007%26 Oct →
dust213–5-0.0319%26 Oct →
inferno13–5-0.038%25 Oct →
cache11–13-0.0211%25 Oct →
mirage14–16-0.0415%25 Oct →
dust213–100.0120%25 Oct →
cache14–160.0118%25 Oct →
nuke13–5-0.079%25 Oct →
mirage13–110.0317%25 Oct →
anubis7–13-0.076%25 Oct →
nuke13–30.0623%25 Oct →
cache13–60.118%25 Oct →
mirage13–9-0.019%25 Oct →
anubis10–13-0.0511%25 Oct →
ancient11–13-0.072%24 Oct →
mirage7–13-0.066%24 Oct →
cache13–8-0.082%24 Oct →
nuke13–30.1718%24 Oct →
dust23–130.0113%24 Oct →
cache10–13-0.0110%24 Oct →
ancient5–13-0.1521%24 Oct →
anubis5–13-0.0312%24 Oct →
nuke1–13-0.094%24 Oct →
dust25–13-0.087%24 Oct →
ancient7–13-0.022%24 Oct →
cache7–13-0.0919%24 Oct →
mirage6–13-0.059%24 Oct →
mirage11–130.047%23 Oct →
dust216–120.0216%23 Oct →
mirage9–13-0.0213%22 Oct →
dust213–3-0.057%22 Oct →
anubis13–2-0.013%22 Oct →
inferno13–60.0416%22 Oct →
cache13–90.0624%22 Oct →
nuke13–30.0213%22 Oct →
mirage13–11-0.0811%21 Oct →
cache5–13-0.0713%21 Oct →
dust21–13-0.126%21 Oct →
inferno10–130.0113%21 Oct →
mirage16–140.0116%21 Oct →
mirage13–90.038%21 Oct →
mirage13–9-0.0311%21 Oct →
inferno11–13-0.0212%20 Oct →
ancient11–13-0.063%20 Oct →
inferno11–13-0.063%20 Oct →
mirage13–16-0.047%20 Oct →
nuke2–13-0.1124%20 Oct →
nuke10–13-0.0015%20 Oct →
anubis9–4-0.0211%20 Oct →
inferno7–13-0.0213%20 Oct →
ancient13–30.023%20 Oct →
mirage9–130.0512%20 Oct →
dust210–13-0.0823%20 Oct →
mirage13–60.019%19 Oct →
inferno13–80.0819%17 Oct →
nuke13–40.0517%17 Oct →
ancient13–7-0.0929%17 Oct →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.