kam1na

kam1na — CS2 Stats

US76561198163520605[U:1:203254877]Steam profile ↗✓ No bans

3,549Tracked matches50%Win rate2020Tracked since
6,291Hours in CS22Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating16,059Purple band · top ~24.2% 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 13 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−497Premier CS Rating · 16,556 → 16,059

Rating over time

Premier CS Rating: 16,059 +2,471 15 Aug – 14 Oct · 38 days played
13,58818,392peak 18,39215 Aug14 Oct
18,392Peak Premier in tracked matches
43Days played since 2026-08-15

Premier CS Rating

  • 2,333 below peak (18,392)
  • -808 over 30 days · declining
  • Next: Pink band at 20,000 — 3,941 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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=10,231), 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 rate48.8%41.8%42.7%above
Shot accuracy14.0%12.2%11.3%above
Kill/death ratio0.900.980.990.09 short
Match win rate43.8%43.3%43.9%meets

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGkam1naFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,059 · Purple 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

Aim51
Positioning57
Utility60

0–100 skill scores via Leetify.

Recent form

COLD55–42–3Last 10055%Win rateLLWLWLLLWL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +3.9pp headshot accuracy · −31ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 616ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 642ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 657ms

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 (+1.3 against its own average).

Aim5.1
Utility6.0
Positioning5.7
Opening Duels1.5
Clutch5.4

Strong T-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

Twistzz

Plays most like Twistzz 73% 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 54% on T to 23% on CT — first contacts on the defending side are being lost.

Reaction time. 642ms 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

Aim5.1
Positioning5.7
Utility6.0
Mechanics5.7
Opening Duels3.0
Win Impact5.0

Composite 5.2/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time645ms+22ms
first ⅓ avg 622ms → last ⅓ avg 645ms
Headshot accuracy19.4%+1.6%
first ⅓ avg 17.7% → last ⅓ avg 19.4%

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 · 13–2 · cache, 29 Aug →
32%Best headshot accuracy · 13–11 · mirage, 19 Sept →
391msFastest reaction time · 6–13 · anubis, 29 Aug →
13–1Biggest win · inferno, 21 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
10–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 70% over 10anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.02
infernoA2113–862%0.00
ancientB179–853%-0.00
cacheA138–562%0.01
dust2S107–370%-0.00
nukeC94–544%-0.01
anubisC73–443%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

157,382Lifetime kills
0.90K/D
7,366Matches
43.8%Match win rate · Top 50% of Level 3 players
48.8%Headshot % · Top 25% of Level 3 players
14.0%Shot accuracy · Top 50% of Level 3 players
17,565MVPs
3,671Hours (in match)
9,039Bombs planted
2,390Bombs defused

Most-used weapons

AK-4762,675
AWP12,857
UMP-454,539
P902,537
P2501,822

Lifetime map wins

14,084inferno
13,008dust2
7,452nuke
3,610vertigo
3,186train
1,540cbble
149lake
75shorttrain

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

Faceit stats

Combat

608Matches
49%Win rate
0.88Avg K/D
79.6ADR
49%Headshot %

Clutches & streaks

47%1v1 clutch win
8%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1242%0.8815.3
Inferno875%1.0814.6
Cache617%1.0816.2
Dust2450%0.7810.5
Anubis333%0.6611.0
Ancient2100%1.6819.5
Vertigo250%1.1414.5

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.

19.3%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.9%Spray accuracy
75.5%Counter-strafing
11.2°Preaim
642msReaction time
53.7%T opening success
23.4%CT opening success
0.65Enemies flashed / flash
6.4%Flash assists
17.38HE damage / grenade
5.73Flashes / 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 23.4278% — 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.

43% 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
inferno8–13-0.0031%14 Oct →
inferno11–130.0323%13 Oct →
inferno13–110.0722%13 Oct →
dust28–13-0.0522%12 Oct →
mirage13–6-0.0017%12 Oct →
cache4–130.0326%10 Oct →
ancient5–13-0.0022%10 Oct →
inferno11–13-0.0016%9 Oct →
ancient13–90.0823%9 Oct →
ancient10–13-0.0318%9 Oct →
cache13–80.0123%9 Oct →
mirage16–130.0222%8 Oct →
ancient7–13-0.0015%7 Oct →
dust216–130.0613%7 Oct →
nuke7–13-0.026%7 Oct →
inferno13–40.0530%5 Oct →
mirage13–30.0113%5 Oct →
inferno13–60.0317%4 Oct →
dust26–13-0.0621%3 Oct →
cache10–13-0.0120%3 Oct →
anubis13–10-0.0415%2 Oct →
inferno9–13-0.0320%2 Oct →
ancient16–140.0222%2 Oct →
nuke9–13-0.0330%2 Oct →
inferno13–60.0210%2 Oct →
dust216–13-0.0116%29 Sept →
inferno13–100.0412%27 Sept →
cache11–130.0017%26 Sept →
nuke13–90.0221%25 Sept →
mirage7–13-0.0619%25 Sept →
inferno11–130.0619%24 Sept →
dust215–150.0215%21 Sept →
ancient13–100.0223%21 Sept →
mirage13–11-0.0532%19 Sept →
mirage13–110.0723%18 Sept →
ancient13–11-0.0019%18 Sept →
anubis5–13-0.1013%18 Sept →
nuke13–9-0.0524%18 Sept →
mirage10–13-0.0328%15 Sept →
mirage6–13-0.0223%14 Sept →
anubis8–130.0316%14 Sept →
mirage11–13-0.059%14 Sept →
dust213–70.0016%10 Sept →
cache7–13-0.0610%9 Sept →
dust213–60.0117%8 Sept →
ancient7–13-0.0614%8 Sept →
inferno13–7-0.0813%7 Sept →
mirage7–130.0428%7 Sept →
anubis13–40.0218%6 Sept →
inferno13–8-0.0613%6 Sept →
ancient12–16-0.048%5 Sept →
mirage13–80.0114%4 Sept →
inferno13–9-0.0416%2 Sept →
ancient8–13-0.0521%2 Sept →
inferno13–60.0018%2 Sept →
inferno15–150.026%31 Aug →
cache13–11-0.0121%31 Aug →
mirage3–13-0.0412%31 Aug →
nuke16–120.0418%31 Aug →
ancient13–70.0223%29 Aug →
mirage13–60.0618%29 Aug →
anubis6–13-0.0510%29 Aug →
nuke13–90.0414%29 Aug →
cache13–20.1327%29 Aug →
cache12–16-0.0219%29 Aug →
inferno2–13-0.0718%28 Aug →
mirage15–15-0.0614%28 Aug →
mirage7–13-0.1117%28 Aug →
inferno11–13-0.0121%27 Aug →
mirage3–13-0.0722%27 Aug →
mirage13–2-0.0315%27 Aug →
ancient13–70.0215%26 Aug →
inferno13–50.0222%26 Aug →
cache13–8-0.0514%26 Aug →
nuke9–13-0.108%26 Aug →
mirage13–5-0.0125%24 Aug →
inferno13–90.0520%24 Aug →
mirage11–13-0.0113%22 Aug →
anubis13–90.0112%22 Aug →
cache13–110.0616%22 Aug →
inferno13–1-0.0521%21 Aug →
ancient13–70.0121%21 Aug →
dust213–60.0212%21 Aug →
ancient10–13-0.0417%21 Aug →
nuke14–16-0.0323%20 Aug →
mirage16–140.0915%20 Aug →
ancient13–11-0.0223%20 Aug →
anubis9–130.0017%19 Aug →
mirage13–11-0.0514%19 Aug →
ancient13–3-0.0119%19 Aug →
ancient10–13-0.0113%18 Aug →
dust213–9-0.0119%18 Aug →
mirage11–13-0.0515%18 Aug →
mirage8–13-0.0229%17 Aug →
inferno13–70.0422%17 Aug →
cache13–7-0.0715%17 Aug →
cache13–100.0322%16 Aug →
cache13–70.1019%15 Aug →
nuke10–130.0115%15 Aug →
dust213–8-0.0215%15 Aug →

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 →

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