Kamina

Kamina — CS2 Stats

76561199308871625[U:1:1348605897]Steam profile ↗✓ No bans

386Tracked matches50%Win rate2025Tracked since
292Hours in CS
CSDB Rating3.5 LearningPositional Player
Premier CS Rating9,474Light Blue band · top ~57.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

+451Premier CS Rating · 9,023 → 9,474

Rating over time

Premier CS Rating: 9,474 -2,507 14 Aug – 25 Oct · 33 days played
7,98812,889peak 12,88914 Aug25 Oct
12,889Peak Premier in tracked matches
33Days played since 2026-08-14

Premier CS Rating

  • 3,415 below peak (12,889)
  • +673 over 30 days · improving
  • Next: Blue band at 10,000 — 526 to go
  • Reached: 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 3 among CSDB-tracked players (n=10,492), 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 3 medianLevel 4 medianvs Level 4
Headshot rate52.4%41.8%42.7%above
Shot accuracy1.0%12.2%11.2%10.3% short
Kill/death ratio0.700.980.990.30 short
Match win rate38.6%43.3%43.9%5.3% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKaminaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,474 · Light 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

Aim35
Positioning44
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY43–52–5Last 10043%Win rateWWLWWWWLLL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · +3.8pp headshot accuracy · +3ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 691ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 719ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 19%
  • Avg reaction 717ms

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 (+2.4 against its own average).

Aim3.5
Utility3.5
Positioning4.4
Opening Duels0.0
Clutch0.0

Effective flashes

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

ZywOo

Plays most like ZywOo 74% 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

CT openings. Opening success drops from 52% on T to 28% on CT — first contacts on the defending side are being lost.

Reaction time. 690ms 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

Aim3.5
Positioning4.4
Utility3.5
Mechanics4.5
Opening Duels2.7
Win Impact5.0

Composite 3.5/10 (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+0.01
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time692ms+34ms
first ⅓ avg 659ms → last ⅓ avg 692ms
Headshot accuracy19.2%+0.7%
first ⅓ avg 18.5% → last ⅓ avg 19.2%

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

0.06Best match rating · 13–3 · mirage, 20 Oct →
38%Best headshot accuracy · 13–10 · nuke, 28 Sept →
484msFastest reaction time · 13–16 · dust2, 5 Oct →
13–1Biggest win · nuke, 1 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC2611–1542%-0.05
dust2C197–1237%-0.06
ancientD154–1127%-0.07
infernoC156–940%-0.05
nukeA127–558%-0.05
anubisS75–271%-0.06
cacheB63–350%-0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,489Lifetime kills
0.70K/D
894Matches
38.6%Match win rate
52.4%Headshot % · Top 25% of Level 3 players
1.0%Shot accuracy
1,680MVPs
292Hours (in match)
409Bombs planted
150Bombs defused

Most-used weapons

Lifetime map wins

2,518dust2
1,109inferno
764nuke
43vertigo
23train
13office
3italy
2ar_shoots

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

Faceit stats

Combat

11Matches
9%Win rate
0.52Avg K/D
61.0ADR
65%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust250%0.6512.6
Mirage30%0.366.3
Inferno250%0.4810.5
Cache10%0.507.0

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.

20.0%Headshot accuracy
29.3%Accuracy (enemy spotted)
24.5%Spray accuracy
70.2%Counter-strafing
10.5°Preaim
690msReaction time
51.7%T opening success
28.1%CT opening success
0.71Enemies flashed / flash
3.8%Flash assists
6.26HE damage / grenade
6.07Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.1256% — below the 40% mark we flag

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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–3-0.0216%25 Oct →
dust213–9-0.0328%25 Oct →
ancient6–13-0.0811%25 Oct →
mirage13–9-0.0323%25 Oct →
inferno13–5-0.0621%22 Oct →
nuke13–10-0.0418%22 Oct →
ancient13–6-0.0129%21 Oct →
mirage6–13-0.0817%21 Oct →
inferno7–13-0.0728%20 Oct →
mirage2–13-0.0322%20 Oct →
mirage13–30.0614%20 Oct →
inferno11–13-0.0525%14 Oct →
anubis13–4-0.0731%14 Oct →
nuke9–13-0.0911%13 Oct →
dust28–13-0.0912%13 Oct →
cache13–11-0.0626%13 Oct →
inferno13–8-0.0616%13 Oct →
dust27–13-0.070%11 Oct →
dust213–4-0.0520%11 Oct →
dust213–100.0319%11 Oct →
ancient10–13-0.065%8 Oct →
dust211–13-0.0318%5 Oct →
dust213–16-0.0927%5 Oct →
inferno11–13-0.0126%5 Oct →
nuke8–13-0.0126%5 Oct →
cache13–10-0.0725%3 Oct →
anubis6–13-0.0517%3 Oct →
mirage13–7-0.0418%3 Oct →
ancient13–11-0.0713%3 Oct →
ancient9–13-0.0436%2 Oct →
nuke13–10.0117%1 Oct →
inferno13–11-0.066%1 Oct →
nuke13–50.0015%1 Oct →
cache5–13-0.0821%30 Sept →
mirage13–7-0.0313%30 Sept →
mirage13–8-0.0328%30 Sept →
inferno14–16-0.0220%30 Sept →
inferno9–13-0.0916%30 Sept →
nuke13–10-0.0638%28 Sept →
inferno13–4-0.0724%28 Sept →
anubis16–13-0.0316%28 Sept →
anubis8–13-0.0824%25 Sept →
nuke13–6-0.1227%25 Sept →
mirage13–7-0.0418%25 Sept →
inferno13–9-0.0735%25 Sept →
dust213–16-0.0822%21 Sept →
mirage6–130.0026%21 Sept →
dust213–7-0.0819%16 Sept →
dust213–8-0.0518%16 Sept →
ancient6–13-0.117%16 Sept →
mirage0–13-0.1214%16 Sept →
mirage13–6-0.0518%14 Sept →
ancient11–13-0.047%14 Sept →
inferno8–13-0.0715%14 Sept →
mirage9–13-0.105%13 Sept →
dust213–9-0.0522%13 Sept →
ancient9–13-0.0826%13 Sept →
ancient7–13-0.1213%9 Sept →
mirage15–15-0.0314%9 Sept →
dust28–13-0.0714%9 Sept →
inferno8–13-0.0728%8 Sept →
anubis13–7-0.0424%8 Sept →
mirage2–13-0.0817%8 Sept →
ancient5–0-0.0017%8 Sept →
inferno11–13-0.0531%7 Sept →
nuke8–13-0.0518%7 Sept →
mirage7–13-0.1010%7 Sept →
nuke13–9-0.0718%6 Sept →
mirage2–13-0.1125%6 Sept →
anubis13–11-0.0715%6 Sept →
ancient15–15-0.073%5 Sept →
dust211–13-0.0530%5 Sept →
cache15–15-0.0824%5 Sept →
mirage10–13-0.0521%5 Sept →
anubis13–4-0.0811%2 Sept →
nuke11–13-0.0621%2 Sept →
mirage10–13-0.0614%2 Sept →
dust214–16-0.0919%2 Sept →
ancient5–13-0.0818%1 Sept →
dust28–13-0.0815%1 Sept →
nuke13–7-0.0438%1 Sept →
mirage8–13-0.0322%1 Sept →
cache13–4-0.026%1 Sept →
inferno13–8-0.0411%29 Aug →
dust28–13-0.0127%29 Aug →
dust211–13-0.0211%26 Aug →
dust213–8-0.0616%23 Aug →
inferno15–15-0.0224%23 Aug →
nuke15–15-0.0831%23 Aug →
mirage7–13-0.1014%23 Aug →
mirage11–13-0.0720%23 Aug →
mirage8–13-0.0923%19 Aug →
dust27–13-0.0817%19 Aug →
ancient6–13-0.0714%19 Aug →
ancient13–11-0.0612%17 Aug →
cache11–13-0.0611%17 Aug →
mirage13–90.0416%17 Aug →
mirage13–9-0.0330%16 Aug →
ancient6–13-0.0913%14 Aug →
mirage13–10-0.0221%14 Aug →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.