Sinijalkasuula

Sinijalkasuula — CS2 Stats

FI76561198966939261[U:1:1006673533]Steam profile ↗✓ No bans

963Tracked matches37%Win rate2021Tracked since
1,635Hours in CS16Hrs last 2 wks
CSDB Rating5.0 DevelopingPositional Player
FaceitLevel 6 · 1,212 ELOTop 54.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,583 -83 9 Jun – 5 Jul · 2 days played
16,58316,666peak 16,6669 Jun5 Jul
16,666Peak Premier in tracked matches
1,212Highest Faceit ELO seen on CSDB
58Days played since 2026-05-11

Faceit ELO

  • At peak — 1,212
  • Next: Level 7 at 1,351 — 139 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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 Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate42.5%44.8%45.7%3.2% short
Shot accuracy6.4%12.4%12.7%6.3% short
Kill/death ratio0.871.031.050.18 short
Match win rate43.4%45.2%45.7%2.3% short

This profile sits below the typical Level 7 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSinijalkasuulaFACEITLevel 6 · 1,212 ELOSTANDINGTop 54.0% of rankedPEAK ELO1,212csdb.gg/stats

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Performance scores

Aim68
Positioning58
Utility52

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLWWLWLLLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −7.4pp headshot accuracy · +12ms reaction

Win rate down 20pp 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 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 639ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 620ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 613ms

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 (+1.9 against its own average).

Aim6.8
Utility5.2
Positioning5.8
Opening Duels2.2
Clutch2.6

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

iM

Plays most like iM 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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

CT openings. Opening success drops from 58% on T to 35% on CT — first contacts on the defending side are being lost.

Reaction time. 605ms 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

Aim6.8
Positioning5.8
Utility5.2
Mechanics7.5
Opening Duels4.1
Win Impact0.6

Composite 5.0/10 (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-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time606ms−69ms
first ⅓ avg 674ms → last ⅓ avg 606ms
Headshot accuracy18.0%+1.6%
first ⅓ avg 16.4% → last ⅓ avg 18.0%

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

0.09Best match rating · 13–9 · dust2, 16 Jun →
38%Best headshot accuracy · 13–2 · mirage, 10 Sept →
422msFastest reaction time · 13–7 · inferno, 25 Jun →
13–1Biggest win · inferno, 3 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–11In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 55% over 11cacheWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB2312–1152%-0.01
ancientC229–1341%0.02
cacheD113–827%-0.00
infernoA116–555%0.00
dust2C114–736%0.01
anubisB105–550%-0.01
nukeB105–550%0.00
overpass—22–0100%0.02

Across the last 100 tracked matches.

Lifetime stats

47,572Lifetime kills
0.87K/D
2,500Matches
43.4%Match win rate
42.5%Headshot %
6.4%Shot accuracy
8,361MVPs
1,023Hours (in match)
1,154Bombs planted
2,140Bombs defused

Most-used weapons

AK-4713,449
AWP4,743
MP91,254
Knife1,080

Lifetime map wins

3,502nuke
3,402inferno
2,679vertigo
2,498dust2
797train
463lake
43cbble
42stmarc

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

Faceit stats

Combat

636Matches
49%Win rate
0.92Avg K/D
74.0ADR
44%Headshot %

Clutches & streaks

33%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient14454%1.0215.9
Mirage12342%0.8914.4
Dust29245%0.8614.2
Nuke7752%0.9214.0
Inferno6843%0.8313.3
Anubis6652%0.9014.8
Vertigo2969%1.0216.1
Train1747%1.0516.3

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.

18.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.0%Spray accuracy
83.8%Counter-strafing
10.8°Preaim
605msReaction time
57.9%T opening success
34.5%CT opening success
0.53Enemies flashed / flash
5.7%Flash assists
5.55HE damage / grenade
13.66Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.5475% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache11–130.0617%4 Nov →
ancient13–50.0420%4 Nov →
mirage13–9-0.048%3 Nov →
anubis6–13-0.037%3 Nov →
inferno13–10.0117%3 Nov →
mirage8–13-0.0314%1 Nov →
ancient6–130.0915%1 Nov →
ancient6–13-0.0114%31 Oct →
mirage4–13-0.0311%30 Oct →
inferno2–13-0.0022%30 Oct →
mirage5–13-0.0517%27 Oct →
cache13–60.0225%24 Oct →
inferno13–6-0.0418%24 Oct →
dust211–130.0527%23 Oct →
nuke13–40.0434%23 Oct →
ancient13–40.0314%15 Oct →
ancient13–11-0.0913%15 Oct →
mirage7–130.0423%13 Oct →
ancient10–130.0317%12 Oct →
dust25–13-0.0730%12 Oct →
anubis10–13-0.0021%12 Oct →
nuke4–13-0.0720%5 Oct →
anubis13–60.0615%2 Oct →
ancient6–13-0.0617%27 Sept →
inferno8–13-0.0218%27 Sept →
mirage13–40.0014%26 Sept →
cache11–13-0.0821%26 Sept →
nuke13–11-0.0123%26 Sept →
inferno8–13-0.0324%23 Sept →
cache10–13-0.069%20 Sept →
nuke14–16-0.0216%20 Sept →
inferno4–13-0.0614%20 Sept →
anubis4–13-0.0816%18 Sept →
anubis13–11-0.038%18 Sept →
ancient10–130.0719%17 Sept →
ancient8–130.0132%16 Sept →
mirage3–13-0.108%16 Sept →
mirage6–13-0.0524%15 Sept →
ancient8–130.0314%15 Sept →
dust213–100.0115%13 Sept →
dust213–60.0419%13 Sept →
nuke13–8-0.0420%13 Sept →
mirage13–20.0138%10 Sept →
anubis2–13-0.068%10 Sept →
nuke13–80.0535%10 Sept →
ancient10–10-0.0226%9 Sept →
dust214–160.0113%8 Sept →
cache12–12-0.057%6 Sept →
inferno13–50.0116%4 Sept →
anubis13–60.029%4 Sept →
cache4–13-0.0019%31 Aug →
nuke12–12-0.0424%31 Aug →
ancient13–80.0815%30 Aug →
mirage13–9-0.0320%24 Aug →
mirage13–100.0116%22 Aug →
inferno13–90.0217%22 Aug →
mirage28–24-0.0120%20 Aug →
ancient8–13-0.0518%17 Aug →
nuke13–60.0717%17 Aug →
mirage13–90.0111%16 Aug →
ancient13–100.0514%13 Aug →
ancient13–100.0322%13 Aug →
mirage14–160.0317%4 Aug →
dust21–13-0.0810%4 Aug →
dust27–13-0.0721%21 Jul →
ancient11–130.0517%15 Jul →
mirage10–130.0016%13 Jul →
cache6–130.0421%13 Jul →
mirage8–13-0.0119%12 Jul →
ancient13–50.0618%12 Jul →
anubis4–13-0.0729%11 Jul →
cache13–50.0913%8 Jul →
nuke10–130.0212%8 Jul →
mirage13–10.0621%5 Jul →
cache10–13-0.0511%2 Jul →
dust213–4-0.0119%2 Jul →
mirage13–3-0.065%2 Jul →
inferno13–70.0223%25 Jun →
overpass13–20.0037%25 Jun →
ancient6–13-0.0013%20 Jun →
inferno13–40.0818%20 Jun →
mirage13–100.0617%16 Jun →
nuke11–130.0114%16 Jun →
dust213–90.0917%16 Jun →
dust211–130.0918%16 Jun →
dust29–130.018%15 Jun →
inferno5–130.0316%15 Jun →
mirage13–110.0111%11 Jun →
mirage16–120.0122%10 Jun →
ancient13–40.0816%9 Jun →
cache13–4-0.0111%25 May →
mirage7–13-0.0215%25 May →
ancient9–120.0410%20 May →
anubis12–80.079%17 May →
ancient11–130.0720%14 May →
cache5–130.0021%13 May →
anubis13–2-0.0214%13 May →
mirage8–13-0.0018%12 May →
ancient13–60.0116%11 May →
overpass13–30.0311%11 May →

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 →

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