Soija-Savela

Soija-Savela — CS2 Stats

FI76561197986924521[U:1:26658793]Steam profile ↗✓ No bans

259Tracked matches55%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating10,000Blue band · top ~54.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (yesterday). 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: 10,000 -3,053 11 Jun – 10 Oct · 23 days played
6,27514,193peak 14,19311 Jun10 Oct
14,336Peak Premier in tracked matches
37Days played since 2024-04-29

Premier CS Rating

  • 4,193 below peak (14,193)
  • +1,542 over 30 days · improving
  • Next: Purple band at 15,000 — 5,000 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-18

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGSoija-SavelaPREMIER10,000 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning79
Utility39

0–100 skill scores via Leetify.

Recent form

HOT44–53–3Last 10044%Win rateLWWWWLWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −1.7pp headshot accuracy · +29ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 19%
  • Avg reaction 634ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 620ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 606ms

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 (+3.1 against its own average).

Aim7.5
Utility3.9
Positioning7.9
Opening Duels7.5
Clutch0.0

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

donk

Plays most like donk 70% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 82% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 82% on T to 61% on CT — first contacts on the defending side are being lost.

Reaction time. 617ms 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

Aim7.5
Positioning7.9
Utility3.9
Mechanics7.1
Opening Duels8.9
Win Impact6.7

Composite 6.7/10 (Solid), 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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time615ms−29ms
first ⅓ avg 645ms → last ⅓ avg 615ms
Headshot accuracy18.6%−4.0%
first ⅓ avg 22.6% → last ⅓ avg 18.6%

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 · 13–0 · cache, 10 Oct →
53%Best headshot accuracy · 13–0 · cache, 10 Oct →
453msFastest reaction time · 13–3 · nuke, 9 Oct →
13–0Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
9–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 57% over 7dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2614–1254%0.03
ancientC188–1044%0.02
dust2C176–1135%0.01
mirageC145–936%0.02
nukeC146–843%-0.00
cacheA74–357%0.03
anubis—31–233%-0.01
overpass—10–10%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

359Matches
51%Win rate
0.86Avg K/D
56.6ADR
39%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Cache10%1.1622.0
Dust210%0.142.0
Ancient1100%0.255.0

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.

18.1%Headshot accuracy
36.8%Accuracy (enemy spotted)
37.5%Spray accuracy
82.0%Counter-strafing
8.7°Preaim
617msReaction time
81.7%T opening success
60.9%CT opening success
0.55Enemies flashed / flash
3.9%Flash assists
7.04HE damage / grenade
3.98Flashes / 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

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

    Flashes per match 3.9801 — below the 4 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0214%10 Oct →
ancient16–140.0612%10 Oct →
nuke13–110.018%10 Oct →
cache13–00.1753%10 Oct →
nuke13–30.025%10 Oct →
dust211–130.0034%9 Oct →
inferno16–140.0716%9 Oct →
ancient13–11-0.0223%9 Oct →
anubis6–13-0.0513%9 Oct →
nuke13–30.056%9 Oct →
nuke13–3-0.046%9 Oct →
dust27–13-0.0210%9 Oct →
dust214–160.0525%9 Oct →
inferno13–70.0118%6 Oct →
inferno13–20.1433%4 Oct →
mirage8–00.0233%4 Oct →
inferno13–100.0319%4 Oct →
ancient15–15-0.0320%3 Oct →
mirage13–16-0.0316%23 Sept →
inferno11–130.0221%21 Sept →
ancient13–90.0615%20 Sept →
nuke13–70.0112%20 Sept →
ancient2–13-0.0424%19 Sept →
inferno13–100.0512%19 Sept →
inferno13–110.0614%17 Sept →
nuke9–130.0621%17 Sept →
inferno9–130.0520%16 Sept →
dust210–13-0.0013%16 Sept →
nuke14–16-0.0020%16 Sept →
inferno7–130.0424%14 Sept →
ancient6–13-0.0414%14 Sept →
cache3–13-0.0623%10 Sept →
inferno4–13-0.0317%10 Sept →
cache3–13-0.0535%9 Sept →
nuke6–130.0115%9 Sept →
ancient14–160.1419%9 Sept →
mirage7–13-0.058%8 Sept →
nuke15–15-0.0813%8 Sept →
inferno9–13-0.0111%8 Sept →
mirage5–13-0.0115%8 Sept →
inferno7–130.0820%7 Sept →
dust22–13-0.087%7 Sept →
mirage4–13-0.0519%6 Sept →
dust23–13-0.019%6 Sept →
cache11–13-0.0311%6 Sept →
ancient13–10-0.0618%6 Sept →
ancient9–13-0.0127%6 Sept →
inferno13–60.0111%5 Sept →
dust213–60.0418%4 Sept →
cache13–90.0715%4 Sept →
ancient16–130.0310%4 Sept →
inferno13–5-0.0215%4 Sept →
nuke1–9-0.0625%4 Sept →
ancient15–15-0.0211%4 Sept →
inferno13–30.0931%4 Sept →
ancient7–13-0.0225%4 Sept →
dust213–60.0518%3 Sept →
ancient4–130.0116%3 Sept →
nuke13–110.0316%3 Sept →
ancient13–110.1338%2 Sept →
inferno13–90.1024%2 Sept →
nuke7–13-0.0212%2 Sept →
ancient13–30.067%1 Sept →
inferno8–130.0123%1 Sept →
mirage7–130.0114%31 Aug →
inferno7–130.0115%31 Aug →
dust210–50.0414%31 Aug →
cache13–110.0714%30 Aug →
ancient8–130.0325%30 Aug →
ancient8–13-0.0020%30 Aug →
inferno9–10.0517%30 Aug →
mirage4–130.0021%30 Aug →
inferno13–110.0520%28 Aug →
inferno6–130.0123%28 Aug →
mirage13–50.1420%26 Aug →
cache13–90.0718%26 Aug →
inferno11–130.0729%25 Aug →
inferno13–50.0328%24 Aug →
nuke8–13-0.0032%24 Aug →
mirage7–130.0412%23 Aug →
dust213–90.1423%23 Aug →
mirage13–10.1226%23 Aug →
dust213–40.0516%22 Aug →
inferno1–13-0.1211%21 Aug →
dust29–13-0.0133%21 Aug →
mirage6–13-0.0130%21 Aug →
inferno8–130.0127%20 Aug →
dust23–13-0.0328%20 Aug →
mirage13–50.049%20 Aug →
dust22–13-0.0124%20 Aug →
overpass8–13-0.0414%17 Aug →
anubis13–60.0824%1 Jul →
nuke10–13-0.0424%1 Jul →
dust211–13-0.0415%1 Jul →
mirage13–80.0219%11 Jun →
dust213–40.0623%11 Jun →
dust24–13-0.0622%9 May →
ancient13–80.0320%29 Apr →
inferno13–00.0435%29 Apr →
anubis4–13-0.0746%29 Apr →

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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