mansikkka

mansikkka — CS2 Stats

FI76561197981629133[U:1:21363405]Steam profile ↗✓ No bans

1,756Tracked matches37%Win rate2021Tracked since
2,500Hours in CS3Hrs last 2 wks
CSDB Rating2.3 LearningPositional Player
Premier CS Rating16,611Purple band · top ~22% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 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: 16,611 -1,349 31 Mar – 30 Oct · 31 days played
15,30018,878peak 18,87831 Mar30 Oct
18,992Peak Premier in tracked matches
1,047Highest Faceit ELO seen on CSDB
41Days played since 2026-03-31

Premier CS Rating

  • 2,267 below peak (18,878)
  • -2,038 over 90 days
  • Next: Pink band at 20,000 — 3,389 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate32.0%44.4%46.9%14.9% short
Shot accuracy6.8%11.9%13.0%6.2% short
Kill/death ratio0.901.031.080.18 short
Match win rate43.7%45.2%46.7%3.0% short

This profile sits below the typical Pink band player on every metric we can compare.

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

Share this profile

CSDB.GGmansikkkaPREMIER16,611 · Purple bandPEAK ELO1,047csdb.gg/stats

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Performance scores

Aim17
Positioning46
Utility43

0–100 skill scores via Leetify.

Recent form

COLD36–60–4Last 10036%Win rateLWLLLLLWLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · −10ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 548ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 493ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 498ms

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 (+1.3 against its own average).

Aim1.7
Utility4.3
Positioning4.6
Opening Duels0.3
Clutch3.8

Strong CT-side opener

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 56% 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

T-side openings. Opening success drops from 42% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 46% 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

Aim1.7
Positioning4.6
Utility4.3
Mechanics0.0
Opening Duels1.5
Win Impact0.6

Composite 2.3/10 (Learning), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time518ms−83ms
first ⅓ avg 601ms → last ⅓ avg 518ms
Headshot accuracy10.9%−2.2%
first ⅓ avg 13.1% → last ⅓ avg 10.9%

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

0.13Best match rating · 13–7 · nuke, 9 Apr →
36%Best headshot accuracy · 0–13 · inferno, 25 Sept →
359msFastest reaction time · 7–13 · inferno, 9 May →
13–0Biggest win · cache, 30 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 47% over 19anubisWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.03
nukeB199–1047%-0.01
ancientC156–940%-0.02
cacheD124–833%-0.01
anubisD111–109%-0.03
dust2D102–820%-0.02
mirageC83–538%-0.03
overpass—20–20%-0.04
office—22–0100%-0.06
fachwerk—10–10%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (9% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,424Lifetime kills
0.90K/D
3,862Matches
43.7%Match win rate
32.0%Headshot %
6.8%Shot accuracy
6,406MVPs
1,291Hours (in match)
4,496Bombs planted
760Bombs defused

Most-used weapons

AK-476,724
AWP6,723
P906,513
MAC-101,845
Negev1,765

Lifetime map wins

6,359nuke
5,419inferno
3,241vertigo
2,194dust2
715train
354office
168cbble
58lake

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

Faceit stats

Combat

84Matches
43%Win rate
0.83Avg K/D
58.4ADR
33%Headshot %

Clutches & streaks

39%1v1 clutch win
22%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Nuke2348%0.8111.7
Inferno2143%0.8213.1
Ancient1650%0.8812.0
Anubis617%0.9610.2
Mirage540%0.9913.0
Dust2450%0.7211.3
Overpass425%0.969.0
Cache450%0.487.8

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.

10.2%Headshot accuracy
24.6%Accuracy (enemy spotted)
26.8%Spray accuracy
46.4%Counter-strafing
11.0°Preaim
510msReaction time
19.7%T opening success
42.4%CT opening success
0.45Enemies flashed / flash
4.0%Flash assists
4.47HE damage / grenade
6.40Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.2122% — below the 15% mark we flag

    Aim Training →
  2. 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 0.453 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 19.6744% — below the 40% mark we flag

Spend your practice time on Anubis

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

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.050%30 Oct →
mirage16–14-0.038%9 Oct →
inferno11–13-0.022%9 Oct →
anubis11–130.0314%25 Sept →
inferno0–13-0.1136%25 Sept →
nuke7–13-0.064%20 Sept →
inferno13–16-0.0310%20 Sept →
nuke13–40.0215%28 Aug →
ancient13–160.0111%28 Aug →
cache13–90.037%28 Aug →
inferno13–9-0.016%21 Aug →
mirage4–13-0.074%21 Aug →
cache3–9-0.0317%21 Aug →
dust29–130.0211%21 Aug →
nuke8–13-0.029%21 Aug →
cache7–13-0.049%21 Aug →
anubis4–13-0.0210%15 Aug →
ancient13–11-0.0912%15 Aug →
inferno13–2-0.028%15 Aug →
ancient9–13-0.0710%14 Aug →
nuke10–13-0.038%14 Aug →
inferno4–13-0.0717%9 Aug →
cache0–13-0.096%8 Aug →
inferno10–13-0.0516%5 Aug →
ancient16–14-0.0013%30 Jul →
nuke13–40.0510%30 Jul →
anubis13–4-0.0510%30 Jul →
cache13–00.0718%30 Jul →
ancient3–13-0.099%30 Jul →
nuke13–30.0110%28 Jul →
anubis6–13-0.0718%28 Jul →
cache9–13-0.105%25 Jul →
inferno4–13-0.0216%25 Jul →
nuke9–130.0111%23 Jul →
anubis8–13-0.027%23 Jul →
cache13–8-0.0211%23 Jul →
ancient13–9-0.0212%23 Jul →
nuke6–130.0310%23 Jul →
inferno13–4-0.0114%22 Jul →
nuke13–70.0211%22 Jul →
ancient7–13-0.058%22 Jul →
fachwerk3–13-0.086%13 Jul →
cache10–130.018%13 Jul →
dust213–5-0.0511%9 Jul →
ancient9–10.0521%7 Jul →
cache13–70.0216%7 Jul →
overpass5–13-0.0714%6 Jul →
nuke10–13-0.0018%6 Jul →
inferno13–6-0.0419%6 Jul →
dust25–13-0.0314%6 Jul →
cache11–13-0.028%6 Jul →
dust214–16-0.0510%1 Jun →
inferno13–4-0.095%1 Jun →
nuke13–7-0.0623%23 May →
mirage15–15-0.0114%20 May →
inferno11–13-0.0315%20 May →
inferno7–13-0.0716%9 May →
nuke13–10-0.0311%4 May →
mirage6–13-0.0410%4 May →
anubis11–130.0013%30 Apr →
cache12–120.018%30 Apr →
cache0–13-0.0416%30 Apr →
nuke5–13-0.0414%26 Apr →
mirage13–70.0617%23 Apr →
anubis9–13-0.0418%17 Apr →
dust24–130.0133%17 Apr →
ancient16–120.069%17 Apr →
ancient15–150.055%17 Apr →
overpass5–13-0.025%17 Apr →
nuke13–11-0.0515%17 Apr →
anubis9–13-0.0210%16 Apr →
office13–80.017%15 Apr →
office5–1-0.130%15 Apr →
mirage2–13-0.0125%15 Apr →
dust29–13-0.0418%15 Apr →
mirage13–9-0.0611%14 Apr →
nuke11–13-0.0314%14 Apr →
ancient4–13-0.0813%14 Apr →
inferno13–110.0313%14 Apr →
ancient13–50.0325%13 Apr →
mirage4–13-0.0518%13 Apr →
inferno13–11-0.0410%11 Apr →
anubis10–13-0.0321%11 Apr →
ancient2–13-0.0711%11 Apr →
nuke13–9-0.078%11 Apr →
dust211–13-0.0330%11 Apr →
nuke13–70.1317%9 Apr →
ancient3–13-0.050%9 Apr →
dust211–13-0.0326%9 Apr →
inferno11–130.0219%8 Apr →
anubis15–15-0.0317%8 Apr →
inferno13–110.0314%7 Apr →
anubis4–13-0.0215%6 Apr →
inferno13–20.1013%6 Apr →
nuke7–13-0.0610%6 Apr →
dust216–130.014%4 Apr →
inferno0–13-0.0918%2 Apr →
ancient8–130.045%2 Apr →
dust210–130.0210%31 Mar →
inferno6–13-0.048%31 Mar →

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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