kapteenikalsari

kapteenikalsari — CS2 Stats

76561199837951243[U:1:1877685515]Steam profile ↗✓ No bans

1,011Tracked matches79%Win rate2025Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating12,925Blue band · top ~39.4% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (3 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: 12,925 -742 1 Sept – 12 Oct · 12 days played
12,38013,667peak 13,6671 Sept12 Oct
13,667Peak Premier in tracked matches
22Days played since 2026-09-01

Premier CS Rating

  • 742 below peak (13,667)
  • -711 over 30 days · declining
  • Next: Purple band at 15,000 — 2,075 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light 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.

Share this profile

CSDB.GGkapteenikalsariPREMIER12,925 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning67
Utility65

0–100 skill scores via Leetify.

Recent form

HOT51–38–11Last 10051%Win rateWWWWWLWTWW

Last 10 vs previous 10: +10pp win rate · −0.05 avg rating · +1.6pp headshot accuracy · −14ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 605ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 578ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 585ms

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 (+1.5 against its own average).

Aim8.1
Utility6.5
Positioning6.7
Opening Duels6.0
Clutch1.8

Excellent counter-strafing

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 89% 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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 583ms 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

Aim8.1
Positioning6.7
Utility6.5
Mechanics8.9
Opening Duels7.6
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time594ms+32ms
first ⅓ avg 561ms → last ⅓ avg 594ms
Headshot accuracy16.8%+1.4%
first ⅓ avg 15.4% → last ⅓ avg 16.8%

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

0.16Best match rating · 13–3 · train, 18 Sept →
42%Best headshot accuracy · 13–5 · nuke, 2 Oct →
422msFastest reaction time · 12–12 · train, 10 Sept →
13–1Biggest win · mirage, 17 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
5–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

overpassBest map · 71% over 7ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
trainB3115–1648%0.02
nukeB2411–1346%0.02
cacheA159–660%0.01
overpassS75–271%0.00
mirageA74–357%-0.03
ancientC52–340%0.01
vertigo—43–175%0.00
anubis—41–325%-0.02
dust2—31–233%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
50%Win rate
0.64Avg K/D
64.1ADR
36%Headshot %

Clutches & streaks

29%1v1 clutch win
33%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.7814.0
Mirage333%0.528.3
Ancient250%0.468.0
Overpass250%0.5614.5
Dust21100%0.609.0
Nuke1100%1.1219.0

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.

17.6%Headshot accuracy
37.6%Accuracy (enemy spotted)
36.2%Spray accuracy
90.1%Counter-strafing
9.0°Preaim
583msReaction time
59.9%T opening success
60.7%CT opening success
0.67Enemies flashed / flash
12.8%Flash assists
8.15HE damage / grenade
12.70Flashes / match

Recommended for you

Spend your practice time on Ancient

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0417%14 Oct →
overpass13–30.0213%14 Oct →
nuke13–9-0.0211%14 Oct →
cache13–90.0118%12 Oct →
cache13–50.0225%12 Oct →
train8–13-0.0821%10 Oct →
nuke13–7-0.0115%10 Oct →
cache12–120.0122%10 Oct →
nuke13–30.1223%10 Oct →
cache13–30.0524%10 Oct →
overpass11–13-0.0518%10 Oct →
train13–90.0524%10 Oct →
train13–60.0114%9 Oct →
train11–130.1323%9 Oct →
vertigo13–50.0415%9 Oct →
ancient13–30.1012%9 Oct →
nuke13–40.1118%9 Oct →
overpass13–20.0613%9 Oct →
train13–70.1320%9 Oct →
nuke10–130.0614%8 Oct →
train13–80.0820%8 Oct →
cache15–15-0.078%8 Oct →
train13–10-0.0113%7 Oct →
train9–13-0.0421%7 Oct →
train3–13-0.0124%7 Oct →
train13–10-0.0422%7 Oct →
overpass13–110.0329%6 Oct →
overpass4–3-0.090%6 Oct →
nuke13–40.0914%6 Oct →
cache13–110.0312%6 Oct →
train3–80.0511%6 Oct →
overpass11–13-0.0610%5 Oct →
cache13–40.0210%5 Oct →
train12–12-0.0216%5 Oct →
anubis6–13-0.029%2 Oct →
mirage5–13-0.1115%2 Oct →
nuke13–5-0.0042%2 Oct →
cache11–13-0.0617%2 Oct →
nuke9–100.009%2 Oct →
train4–130.0136%2 Oct →
train0–13-0.0933%2 Oct →
anubis12–120.047%29 Sept →
mirage13–50.0618%29 Sept →
vertigo13–90.0010%29 Sept →
nuke2–8-0.0714%29 Sept →
dust25–13-0.0428%29 Sept →
train10–130.0720%29 Sept →
nuke2–130.0418%25 Sept →
nuke10–130.0515%25 Sept →
nuke12–120.0218%25 Sept →
train13–70.0818%25 Sept →
ancient13–90.0611%25 Sept →
ancient8–13-0.0321%24 Sept →
train13–40.0121%24 Sept →
cache13–40.1014%24 Sept →
nuke12–120.1211%23 Sept →
ancient11–13-0.0311%23 Sept →
cache13–70.0421%23 Sept →
train13–9-0.0229%22 Sept →
train8–130.0725%22 Sept →
nuke7–130.0913%22 Sept →
nuke12–12-0.0514%19 Sept →
train13–20.047%19 Sept →
train13–30.0215%19 Sept →
train12–12-0.0415%18 Sept →
train13–3-0.0410%18 Sept →
mirage11–13-0.098%18 Sept →
nuke8–13-0.126%18 Sept →
mirage5–13-0.1417%18 Sept →
anubis8–13-0.110%18 Sept →
mirage13–50.0619%18 Sept →
dust213–90.0317%18 Sept →
train8–130.0512%18 Sept →
nuke13–90.0116%18 Sept →
nuke12–120.0917%18 Sept →
train13–30.1623%18 Sept →
mirage13–10.0413%17 Sept →
cache12–120.0015%17 Sept →
mirage13–2-0.039%17 Sept →
cache10–13-0.0512%17 Sept →
nuke13–3-0.0011%16 Sept →
train7–13-0.0111%16 Sept →
cache5–130.0116%16 Sept →
anubis13–110.0011%15 Sept →
nuke5–130.0320%15 Sept →
nuke13–100.0120%15 Sept →
train13–20.0715%15 Sept →
ancient7–13-0.0325%14 Sept →
nuke5–13-0.1216%14 Sept →
train13–20.0719%14 Sept →
vertigo13–10-0.0014%14 Sept →
vertigo1–13-0.0326%11 Sept →
train7–13-0.0715%11 Sept →
nuke13–50.0115%11 Sept →
cache13–100.0014%11 Sept →
train5–13-0.0616%11 Sept →
nuke13–60.1112%11 Sept →
dust210–13-0.0112%10 Sept →
overpass13–40.0927%10 Sept →
train12–120.0519%10 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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