Soija-Savela

Soija-Savela — CS2 Stats

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

235Tracked matches25%Win rate2020Tracked since
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating6,661Light Blue band · top ~70.9% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 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.

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. 45 days played since 9 May 2021. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 6,661 -6,392 11 Jun17 Sept · 13 days played
6,27514,193peak 14,19311 Jun17 Sept
14,336Peak Premier in tracked matches
45Days played since 2021-05-09

Premier CS Rating

  • 7,532 below peak (14,193)
  • Next: Blue band at 10,000 3,339 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. 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.

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CSDB.GGSoija-SavelaPREMIER6,661 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning65
Utility32

0–100 skill scores via Leetify.

Recent form

COLD39583Last 10039%Win rateWLLLLLLLLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +6.4pp headshot accuracy · +13ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 647ms

Last 10

  • 19 · 10% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 656ms

Last 20

  • 1181 · 5% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 650ms

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 (+2.8 against its own average).

Aim6.0
Utility3.2
Positioning6.5
Opening Duels5.1
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

s1mple

Plays most like s1mple 82% 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. 640ms 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

Aim6.0
Positioning6.5
Utility3.2
Mechanics6.7
Opening Duels5.6
Win Impact0.0

Composite 4.6/10 (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 rating0.00+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time647ms−23ms
first ⅓ avg 670ms → last ⅓ avg 647ms
Headshot accuracy17.3%−0.4%
first ⅓ avg 17.7% → last ⅓ avg 17.3%

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

0.14Best match rating · 14–16 · ancient, 9 Sept
46%Best headshot accuracy · 4–13 · anubis, 29 Apr
477msFastest reaction time · 9–13 · ancient, 6 Sept
13–0Biggest win · inferno, 29 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
66In matches decided by ≤2 rounds
28Overtime games

Map breakdown

cacheBest map · 57% over 7nukeWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB23111248%0.02
dust2C1871139%0.00
ancientD1651131%0.02
mirageD1551033%0.01
nukeD123925%-0.02
cacheA74357%0.01
overpass32167%-0.02
vertigo31233%0.01
anubis21150%0.01
train1010%-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Nuke 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
Ancient1100%0.255.0
Cache10%1.1622.0
Dust210%0.142.0

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.

16.3%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.0%Spray accuracy
80.0%Counter-strafing
9.6°Preaim
640msReaction time
53.3%T opening success
51.2%CT opening success
0.52Enemies flashed / flash
1.7%Flash assists
5.71HE damage / grenade
3.87Flashes / 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 3.8718 — below the 4 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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
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
vertigo13–20.0321%29 Apr
overpass16–13-0.0411%24 Aug
dust219–17-0.0613%24 Aug
nuke5–16-0.1317%24 Aug
dust27–16-0.0520%20 Dec
inferno16–13-0.0519%20 Dec
mirage16–19-0.0320%20 Dec
nuke16–13-0.0217%18 Nov
train12–16-0.0125%1 Nov
vertigo15–150.0120%29 Oct
overpass16–110.0112%26 Oct
ancient9–16-0.0416%21 Oct
cache16–8-0.0210%5 Oct
dust28–16-0.0423%27 Sept
inferno16–11-0.0014%7 Sept
inferno9–16-0.066%5 Sept
vertigo6–160.006%28 May
mirage16–110.0010%26 May
dust219–220.0012%20 May
ancient12–160.009%19 May
ancient17–190.0014%19 May
mirage9–160.004%10 May
mirage11–160.0020%10 May
nuke16–50.0017%9 May

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 →