◈ Loikas ◈

◈ Loikas ◈ — CS2 Stats

76561198370961372[U:1:410695644]Steam profile ↗✓ No bans

908Tracked matches39%Win rate2020Tracked since
1,401Hours in CS14Hrs last 2 wks
CSDB Rating4.3 DevelopingPositional Player
Premier CS Rating14,882Blue band · top ~29% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Nov 2026 (6 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.

Rating over time

Premier CS Rating: 14,882 +4,290 28 Jun – 9 Nov · 10 days played
10,59215,214peak 15,21428 Jun9 Nov
15,535Peak Premier in tracked matches
44Days played since 2026-06-26

Premier CS Rating

  • 332 below peak (15,214)
  • +1,264 over 30 days · improving
  • Next: Purple band at 15,000 — 118 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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,631), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.2%43.8%44.8%1.6% short
Shot accuracy13.5%12.0%12.4%above
Kill/death ratio0.911.021.030.12 short
Match win rate45.6%44.7%45.2%meets

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG◈ Loikas ◈FACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,882 · 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

Aim66
Positioning55
Utility30

0–100 skill scores via Leetify.

Recent form

COLD39–53–8Last 10039%Win rateLLLLLLWWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · −25ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 564ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 561ms

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).

Aim6.6
Utility3.0
Positioning5.5
Opening Duels3.3
Clutch2.4

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 93% 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

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

Counter-strafing. Only 64% 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

Aim6.6
Positioning5.5
Utility3.0
Mechanics3.1
Opening Duels3.8
Win Impact1.4

Composite 4.3/10 (Developing), 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 rating-0.02−0.05
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time549ms−31ms
first ⅓ avg 581ms → last ⅓ avg 549ms
Headshot accuracy16.4%−1.3%
first ⅓ avg 17.7% → last ⅓ avg 16.4%

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

0.19Best match rating · 11–13 · cache, 26 Jun →
40%Best headshot accuracy · 2–13 · dust2, 4 Oct →
391msFastest reaction time · 6–9 · inferno, 16 Aug →
13–1Biggest win · cache, 6 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L6Current streak
7–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 50% over 28infernoWeakest map · 16% over 19
MapGradePlayedRecordWin rateAvg rating
nukeB2814–1450%0.01
mirageB2110–1148%0.04
infernoD193–1616%-0.05
cacheC125–742%0.05
dust2D72–529%0.00
anubisC52–340%-0.04
ancient—32–167%0.02
office—20–20%-0.01
rush_001—11–0100%0.15
overpass—10–10%-0.14
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (16% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,154Lifetime kills
0.91K/D
3,012Matches
45.6%Match win rate · Top 50% of Level 5 players
43.2%Headshot %
13.5%Shot accuracy · Top 50% of Level 5 players
11,068MVPs
723Hours (in match)
2,329Bombs planted
1,523Bombs defused

Most-used weapons

AUG7,639
AK-476,769
AWP6,279
SG 5532,749
P250833

Lifetime map wins

5,059inferno
2,292nuke
2,171dust2
946vertigo
272office
264train
222cbble
184lake

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

Faceit stats

Combat

55Matches
53%Win rate
0.98Avg K/D
71.9ADR
33%Headshot %

Clutches & streaks

32%1v1 clutch win
16%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1963%1.1216.6
Dust21164%0.7311.4
Nuke850%1.1818.9
Anubis633%1.0217.3
Inferno425%0.8617.0
Ancient367%0.9611.7
Cache20%0.6813.5

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.

16.4%Headshot accuracy
36.1%Accuracy (enemy spotted)
42.7%Spray accuracy
64.1%Counter-strafing
9.6°Preaim
550msReaction time
46.7%T opening success
44.1%CT opening success
0.43Enemies flashed / flash
3.2%Flash assists
8.10HE damage / grenade
4.00Flashes / 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 0.4269 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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

16% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office11–130.020%12 Nov →
office1–13-0.0529%12 Nov →
inferno5–13-0.078%11 Nov →
mirage8–130.0516%9 Nov →
ancient8–13-0.0410%9 Nov →
nuke7–13-0.0114%8 Nov →
ancient13–110.0520%8 Nov →
inferno9–20.1121%4 Nov →
nuke3–9-0.0623%4 Nov →
nuke4–9-0.0411%4 Nov →
inferno6–90.0626%4 Nov →
nuke10–13-0.0410%1 Nov →
cache13–4-0.0413%1 Nov →
nuke9–13-0.0118%31 Oct →
dust25–13-0.0118%31 Oct →
dust213–9-0.049%31 Oct →
dust25–13-0.0514%31 Oct →
mirage11–130.0323%30 Oct →
inferno12–12-0.0219%27 Oct →
cache13–110.0113%26 Oct →
anubis13–100.0115%24 Oct →
anubis16–14-0.073%24 Oct →
nuke13–100.0018%24 Oct →
anubis11–13-0.0617%24 Oct →
anubis8–13-0.059%24 Oct →
mirage11–130.0637%24 Oct →
cache13–70.0127%23 Oct →
mirage11–13-0.0121%23 Oct →
inferno2–9-0.195%23 Oct →
mirage16–13-0.0420%22 Oct →
mirage13–4-0.007%19 Oct →
dust213–110.0935%7 Oct →
mirage7–13-0.0911%4 Oct →
dust22–130.0040%4 Oct →
dust215–15-0.017%3 Oct →
inferno13–110.0712%3 Oct →
mirage13–4-0.0016%2 Oct →
rush_0014–00.1525%1 Oct →
inferno9–130.059%1 Oct →
nuke13–30.1321%28 Sept →
mirage7–13-0.0513%28 Sept →
ancient13–30.0620%28 Sept →
cache13–80.1132%27 Sept →
cache6–130.0317%20 Sept →
inferno2–9-0.1613%20 Sept →
inferno13–40.039%15 Sept →
dust212–120.0114%13 Sept →
cache12–12-0.0527%13 Sept →
inferno7–9-0.1017%9 Sept →
nuke3–9-0.096%9 Sept →
nuke9–50.0314%9 Sept →
nuke7–130.0027%7 Sept →
mirage13–40.0419%7 Sept →
nuke8–80.1630%6 Sept →
overpass1–9-0.1412%6 Sept →
cache13–10.0318%6 Sept →
inferno7–13-0.0236%6 Sept →
mirage6–13-0.026%6 Sept →
inferno6–9-0.046%5 Sept →
nuke5–9-0.106%5 Sept →
nuke2–9-0.169%5 Sept →
nuke8–80.0110%5 Sept →
nuke9–1-0.046%5 Sept →
nuke9–60.0621%5 Sept →
inferno2–9-0.1515%5 Sept →
nuke5–90.0413%17 Aug →
inferno1–9-0.185%17 Aug →
nuke2–9-0.205%17 Aug →
nuke9–4-0.0015%16 Aug →
vertigo5–9-0.0825%16 Aug →
nuke9–7-0.1115%16 Aug →
nuke9–60.1812%16 Aug →
inferno6–9-0.0726%16 Aug →
inferno8–8-0.1014%16 Aug →
inferno3–9-0.0816%15 Aug →
nuke9–60.0421%15 Aug →
inferno3–9-0.1118%15 Aug →
nuke9–60.1232%15 Aug →
cache8–130.1218%10 Aug →
nuke13–40.0610%24 Jul →
inferno6–13-0.0824%21 Jul →
mirage13–20.128%20 Jul →
mirage13–70.094%17 Jul →
anubis11–13-0.020%14 Jul →
nuke13–7-0.0129%12 Jul →
mirage13–90.0322%12 Jul →
mirage6–130.1120%5 Jul →
cache12–120.1417%5 Jul →
mirage13–70.093%3 Jul →
mirage10–130.0421%29 Jun →
mirage13–50.0416%28 Jun →
mirage10–130.0929%27 Jun →
cache6–130.0519%27 Jun →
nuke13–70.0917%27 Jun →
nuke5–130.1313%26 Jun →
cache11–130.1924%26 Jun →
cache1–13-0.0410%26 Jun →
mirage8–130.0726%26 Jun →
mirage13–110.1822%26 Jun →
nuke13–10.0832%26 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 →

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