Varmaan joku bugi?

Varmaan joku bugi? — CS2 Stats

FI76561198001449483[U:1:41183755]Steam profile ↗✓ No bans

3,333Tracked matches47%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
Premier CS Rating19,856Top 50% of 213,211 CSDB-tracked playersPurple band · top ~9.1% of ranked players (population est.)
CSDB Leaderboard#88843 of 259972 tracked
WingmanMaster Guardian Elite
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.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,856 +83 30 Aug – 4 Nov · 21 days played
15,63219,999peak 19,99930 Aug4 Nov
Faceit ELO: 1,883 +0 30 Aug – 3 Oct · 6 observations
1,8831,883peak 1,88330 Aug3 Oct
21,245Peak Premier in tracked matches
1,883Highest Faceit ELO seen on CSDB
15Days played since 2026-08-30

Faceit ELO

  • At peak — 1,883
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 118 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-30
  • Level 8 first seen 2026-08-30

Premier CS Rating

  • 143 below peak (19,999)
  • +404 over 30 days · improving
  • Next: Pink band at 20,000 — 144 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-30
  • Blue band first seen 2026-08-30

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.

Share this profile

CSDB.GGVarmaan joku bugi?PREMIER19,856 · Purple band30 DAYS0 ELOPEAK ELO1,883csdb.gg/stats

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Performance scores

Aim60
Positioning69
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY43–56–1Last 10043%Win rateLWWWWWLLLW

Last 10 vs previous 10: +40pp win rate · +0.03 avg rating · +4.1pp headshot accuracy · −145ms reaction

Win rate up 40pp 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 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 478ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 562ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 635ms

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 (+1.4 against its own average).

Aim6.0
Utility6.6
Positioning6.9
Opening Duels4.7
Clutch3.8

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

m0NESY

Plays most like m0NESY 72% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 618ms 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
Positioning6.9
Utility6.6
Mechanics5.6
Opening Duels4.8
Win Impact3.9

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time628ms+22ms
first ⅓ avg 606ms → last ⅓ avg 628ms
Headshot accuracy15.6%−1.1%
first ⅓ avg 16.7% → last ⅓ avg 15.6%

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

0.19Best match rating · 13–3 · inferno, 23 Oct →
38%Best headshot accuracy · 1–13 · dust2, 30 Sept →
367msFastest reaction time · 7–13 · mirage, 2 Oct →
13–2Biggest win · cache, 10 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 56% over 9infernoWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
infernoD195–1426%0.00
dust2B179–853%0.00
nukeC167–944%0.01
cacheB137–654%0.02
mirageC135–838%0.00
anubisC94–544%0.01
ancientA95–456%0.01
train—31–233%0.01
vertigo—10–10%-0.25

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,257Matches
53%Win rate
1.04Avg K/D
81.0ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust215652%1.0015.5
Ancient10262%1.0216.0
Inferno9943%1.0915.4
Nuke9362%1.0014.7
Anubis6055%1.0316.0
Mirage5746%0.9514.9
Train4262%1.1016.0
Overpass2055%0.8913.8

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.

15.5%Headshot accuracy
36.5%Accuracy (enemy spotted)
37.9%Spray accuracy
75.2%Counter-strafing
10.9°Preaim
618msReaction time
47.5%T opening success
50.9%CT opening success
0.62Enemies flashed / flash
7.8%Flash assists
12.00HE damage / grenade
12.32Flashes / match

Recommended for you

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.

26% 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
cache5–13-0.0015%4 Nov →
dust213–100.0420%4 Nov →
nuke13–80.1318%4 Nov →
dust213–80.0327%3 Nov →
anubis16–140.1019%3 Nov →
dust213–60.0829%31 Oct →
train4–13-0.0516%31 Oct →
nuke6–13-0.0418%31 Oct →
inferno3–13-0.029%31 Oct →
dust213–70.038%31 Oct →
ancient12–160.0310%31 Oct →
cache16–130.1215%31 Oct →
nuke9–130.028%31 Oct →
inferno7–130.0317%31 Oct →
inferno8–13-0.118%30 Oct →
mirage8–13-0.0314%30 Oct →
nuke8–13-0.079%30 Oct →
cache6–130.0014%30 Oct →
inferno5–130.0222%30 Oct →
dust213–80.0222%30 Oct →
anubis13–11-0.0514%30 Oct →
anubis3–130.0215%30 Oct →
cache13–70.118%30 Oct →
dust213–50.0224%30 Oct →
train13–9-0.0215%24 Oct →
dust27–13-0.0513%24 Oct →
mirage11–13-0.0214%24 Oct →
dust210–130.0913%24 Oct →
nuke13–70.0418%24 Oct →
inferno13–60.0817%24 Oct →
cache9–130.0323%24 Oct →
mirage9–13-0.0511%24 Oct →
cache13–11-0.0014%24 Oct →
inferno2–13-0.0830%23 Oct →
ancient3–13-0.063%23 Oct →
nuke5–130.0113%23 Oct →
dust211–130.0216%23 Oct →
inferno9–130.0329%23 Oct →
inferno3–130.039%23 Oct →
anubis6–130.0223%23 Oct →
inferno9–13-0.0318%23 Oct →
dust216–13-0.0319%23 Oct →
inferno13–30.1929%23 Oct →
nuke14–160.0213%23 Oct →
anubis7–130.0114%23 Oct →
mirage13–90.0427%23 Oct →
inferno13–110.0416%23 Oct →
nuke13–50.0918%23 Oct →
dust27–13-0.0415%23 Oct →
mirage2–13-0.0117%23 Oct →
nuke13–110.0223%15 Oct →
ancient13–40.0218%15 Oct →
inferno3–13-0.097%14 Oct →
inferno13–8-0.0214%14 Oct →
ancient13–90.0713%14 Oct →
dust26–13-0.0413%10 Oct →
nuke13–6-0.0314%10 Oct →
inferno11–13-0.0618%10 Oct →
cache13–20.0611%10 Oct →
nuke11–130.0024%10 Oct →
mirage10–130.0412%10 Oct →
inferno3–13-0.0426%10 Oct →
nuke13–40.0815%10 Oct →
dust213–8-0.0015%10 Oct →
anubis10–130.0411%10 Oct →
ancient13–40.0415%10 Oct →
mirage13–8-0.0319%10 Oct →
mirage13–60.0421%10 Oct →
cache4–13-0.0816%9 Oct →
mirage15–15-0.0610%9 Oct →
dust28–130.0112%9 Oct →
inferno13–4-0.0118%9 Oct →
train8–130.0925%9 Oct →
dust28–130.0113%9 Oct →
nuke9–13-0.0215%9 Oct →
inferno14–160.0414%7 Oct →
anubis13–90.0713%7 Oct →
nuke13–80.028%5 Oct →
cache13–60.0617%5 Oct →
mirage7–13-0.0714%2 Oct →
inferno7–9-0.0515%2 Oct →
vertigo1–9-0.2520%2 Oct →
ancient6–13-0.0712%2 Oct →
cache2–13-0.047%2 Oct →
ancient16–14-0.0214%2 Oct →
mirage13–100.1524%2 Oct →
ancient13–60.0814%2 Oct →
mirage7–13-0.0216%2 Oct →
ancient2–13-0.0218%2 Oct →
inferno14–160.0722%2 Oct →
anubis13–50.0120%2 Oct →
mirage13–90.0516%1 Oct →
dust213–100.0017%1 Oct →
anubis1–13-0.120%30 Sept →
cache6–13-0.0516%30 Sept →
nuke8–130.0126%30 Sept →
nuke9–13-0.0619%30 Sept →
dust21–13-0.1238%30 Sept →
cache13–100.0121%30 Sept →
cache13–110.0221%30 Sept →

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 →

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