Kalsari Keijo

Kalsari Keijo — CS2 Stats

FI76561199127642930[U:1:1167377202]Steam profile ↗✓ No bans

772Tracked matches28%Win rate2023Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating1,984Grey band · top ~91.6% of ranked players (population est.)
WingmanGold Nova I
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: 1,984 -1,082 20 Aug – 4 Nov · 24 days played
1,7283,222peak 3,22220 Aug4 Nov
3,245Peak Premier in tracked matches
30Days played since 2026-08-19

Premier CS Rating

  • 1,238 below peak (3,222)
  • -121 over 30 days · steady
  • -1,082 over 90 days
  • Next: Light Blue band at 5,000 — 3,016 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGKalsari KeijoPREMIER1,984 · Grey bandcsdb.gg/stats

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Performance scores

Aim52
Positioning48
Utility48

0–100 skill scores via Leetify.

Recent form

COLD34–63–3Last 10034%Win rateLLWLLLLLWW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +2.9pp headshot accuracy · +13ms 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 23%
  • Avg reaction 795ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 713ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 706ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim5.2
Utility4.8
Positioning4.8
Opening Duels0.4
Clutch2.0

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

iM

Plays most like iM 79% 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. 696ms 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

Aim5.2
Positioning4.8
Utility4.8
Mechanics5.4
Opening Duels1.0
Win Impact0.0

Composite 3.7/10 (Learning), 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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time698ms−12ms
first ⅓ avg 710ms → last ⅓ avg 698ms
Headshot accuracy18.7%+2.4%
first ⅓ avg 16.3% → last ⅓ avg 18.7%

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 · 9–1 · inferno, 28 Sept →
53%Best headshot accuracy · 8–8 · inferno, 9 Oct →
453msFastest reaction time · 4–9 · inferno, 16 Sept →
13–1Biggest win · nuke, 28 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
3–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 53% over 17anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC249–1538%-0.03
dust2B179–853%-0.03
nukeC145–936%-0.00
ancientD123–925%-0.03
cacheD113–827%-0.04
mirageD103–730%-0.04
anubisD71–614%-0.05
vertigo—31–233%-0.02
overpass—10–10%0.02
office—10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
28%Win rate
0.73Avg K/D
57.4ADR
38%Headshot %

Clutches & streaks

30%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno540%0.7913.0
Mirage450%0.9112.0
Ancient425%0.7011.3
Nuke30%0.579.7
Overpass10%0.7717.0
Anubis10%0.274.0

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.

17.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
34.6%Spray accuracy
74.1%Counter-strafing
10.5°Preaim
696msReaction time
32.4%T opening success
35.6%CT opening success
0.48Enemies flashed / flash
5.6%Flash assists
8.83HE damage / grenade
4.42Flashes / 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 0.4754 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 32.381% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0619%4 Nov →
cache10–130.0233%4 Nov →
mirage13–10-0.0216%28 Oct →
cache6–13-0.0815%28 Oct →
mirage3–13-0.0729%27 Oct →
cache11–13-0.0719%27 Oct →
ancient10–13-0.0418%27 Oct →
inferno13–16-0.0311%22 Oct →
ancient13–30.0613%22 Oct →
inferno13–100.0714%22 Oct →
dust213–30.0216%22 Oct →
cache7–13-0.0512%20 Oct →
ancient11–13-0.0516%20 Oct →
mirage12–16-0.0517%20 Oct →
inferno10–130.0114%20 Oct →
cache6–13-0.0414%20 Oct →
dust213–100.0120%20 Oct →
anubis7–13-0.0912%18 Oct →
overpass4–130.0221%18 Oct →
dust213–100.0417%18 Oct →
ancient7–13-0.0516%15 Oct →
inferno1–9-0.2113%15 Oct →
dust213–7-0.0426%13 Oct →
inferno8–8-0.1053%9 Oct →
inferno2–9-0.0336%9 Oct →
vertigo12–12-0.0311%8 Oct →
ancient5–13-0.0913%30 Sept →
nuke7–13-0.0620%30 Sept →
cache4–13-0.1026%30 Sept →
inferno8–13-0.0211%30 Sept →
dust23–13-0.1021%30 Sept →
mirage13–11-0.0314%29 Sept →
dust24–13-0.1413%29 Sept →
anubis7–13-0.088%29 Sept →
inferno0–13-0.119%28 Sept →
inferno9–60.0720%28 Sept →
inferno9–10.1026%28 Sept →
inferno9–10.1413%28 Sept →
office11–130.0016%25 Sept →
cache13–6-0.0210%24 Sept →
dust213–11-0.053%24 Sept →
mirage8–13-0.0412%24 Sept →
mirage11–13-0.039%24 Sept →
nuke11–13-0.0015%23 Sept →
dust215–15-0.0313%23 Sept →
dust213–7-0.0312%23 Sept →
vertigo13–100.0019%23 Sept →
nuke6–13-0.0712%20 Sept →
cache13–9-0.0214%19 Sept →
dust210–13-0.049%19 Sept →
inferno13–11-0.0816%19 Sept →
ancient4–13-0.032%19 Sept →
anubis10–13-0.1315%19 Sept →
dust213–3-0.0113%19 Sept →
inferno8–13-0.0614%19 Sept →
mirage11–13-0.0620%16 Sept →
vertigo6–9-0.040%16 Sept →
inferno4–9-0.0814%16 Sept →
nuke9–30.0819%16 Sept →
inferno5–90.0218%16 Sept →
anubis8–130.0321%9 Sept →
inferno12–30.0123%9 Sept →
nuke13–60.0214%9 Sept →
nuke5–13-0.0319%4 Sept →
anubis6–13-0.0626%4 Sept →
ancient6–13-0.0326%4 Sept →
inferno12–16-0.0217%4 Sept →
mirage9–13-0.0321%4 Sept →
dust213–6-0.0323%4 Sept →
nuke6–13-0.0716%4 Sept →
inferno11–13-0.0521%4 Sept →
mirage8–13-0.0715%4 Sept →
nuke7–13-0.0024%4 Sept →
ancient4–13-0.068%1 Sept →
cache13–90.0315%1 Sept →
dust23–13-0.0223%30 Aug →
inferno13–50.0617%30 Aug →
inferno6–13-0.100%30 Aug →
cache12–160.0116%28 Aug →
ancient13–80.0115%28 Aug →
inferno13–10-0.0419%28 Aug →
nuke6–130.0812%28 Aug →
ancient9–130.026%28 Aug →
nuke13–10.1012%28 Aug →
anubis13–7-0.0317%26 Aug →
nuke13–90.0214%26 Aug →
nuke10–130.0130%26 Aug →
dust29–13-0.0114%26 Aug →
inferno6–13-0.066%26 Aug →
anubis10–130.0314%25 Aug →
nuke11–130.0022%25 Aug →
dust213–7-0.0428%22 Aug →
mirage13–5-0.0015%21 Aug →
cache5–13-0.0718%21 Aug →
inferno9–13-0.0318%21 Aug →
ancient13–90.0317%21 Aug →
ancient6–13-0.148%21 Aug →
inferno13–9-0.0816%20 Aug →
nuke13–10-0.0720%19 Aug →
dust29–13-0.0721%19 Aug →

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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