✪ kstrm

✪ kstrm — CS2 Stats

76561198123905993[U:1:163640265]Steam profile ↗✓ No bans

3,909Tracked matches57%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,909 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,999 -1,924 25 Mar – 17 Jun · 13 days played
24,57927,559peak 27,55925 Mar17 Jun
Faceit ELO: 2,333 +0 1 Sept – 3 Sept · 2 observations
2,3332,333peak 2,3331 Sept3 Sept
29,306Peak Premier in tracked matches
2,333Highest Faceit ELO seen on CSDB
19Days played since 2026-03-25

Faceit ELO

  • At peak — 2,333
  • Next: 2,500 ELO at 2,500 — 167 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 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 CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GG✪ kstrmPEAK ELO2,333csdb.gg/stats

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Performance scores

Aim83
Positioning63
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateWLWWWWWLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.7pp headshot accuracy · +33ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 481ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 30%
  • Avg reaction 538ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 30%
  • Avg reaction 521ms

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 against its own average).

Aim8.3
Utility5.8
Positioning6.3
Opening Duels5.2
Clutch3.8

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 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.3
Positioning6.3
Utility5.8
Mechanics5.1
Opening Duels4.3
Win Impact7.2

Composite 6.5/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time520ms−3ms
first ⅓ avg 523ms → last ⅓ avg 520ms
Headshot accuracy28.2%+2.4%
first ⅓ avg 25.8% → last ⅓ avg 28.2%

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

0.17Best match rating · 13–1 · dust2, 25 Mar →
75%Best headshot accuracy · 4–0 · mirage, 26 Apr →
375msFastest reaction time · 13–7 · mirage, 17 Jun →
13–0Biggest win · dust2, 25 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 64% over 11anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B3718–1949%0.02
mirageA2212–1055%0.03
infernoC166–1038%-0.01
ancientA117–464%0.04
anubisD61–517%0.01
nukeD51–420%0.00
overpass—30–30%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,544Matches
54%Win rate
1.28Avg K/D
79.5ADR
52%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22153%1.1717.3
Ancient18253%1.0916.0
Overpass10750%1.1317.1
Inferno10361%1.2316.7
Anubis9345%1.0715.6
Dust28651%1.1716.1
Nuke7549%1.0615.8
Train1656%1.1415.0

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.

28.7%Headshot accuracy
32.0%Accuracy (enemy spotted)
33.1%Spray accuracy
73.0%Counter-strafing
6.8°Preaim
526msReaction time
43.4%T opening success
51.2%CT opening success
0.65Enemies flashed / flash
7.6%Flash assists
9.14HE damage / grenade
6.57Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–6-0.0222%14 Aug →
inferno2–13-0.0738%14 Aug →
dust213–60.0819%14 Aug →
dust213–40.0528%14 Aug →
mirage13–70.1120%14 Aug →
mirage13–90.0825%2 Aug →
dust213–100.0348%2 Aug →
ancient13–160.0040%1 Aug →
inferno6–13-0.0432%1 Aug →
inferno11–130.0326%24 Jun →
mirage13–70.0533%17 Jun →
inferno16–140.0326%14 Jun →
dust213–10-0.0127%14 Jun →
ancient5–130.0822%30 May →
mirage13–20.0927%30 May →
mirage5–13-0.0147%20 May →
mirage13–9-0.0321%20 May →
dust213–70.0035%16 May →
nuke11–130.0343%26 Apr →
ancient13–110.0331%26 Apr →
dust28–13-0.0229%26 Apr →
dust213–110.0117%26 Apr →
dust213–60.0234%26 Apr →
anubis7–130.1126%26 Apr →
dust213–70.1133%26 Apr →
dust213–20.0730%26 Apr →
inferno1–7-0.0110%26 Apr →
mirage10–13-0.0416%26 Apr →
mirage5–130.0419%26 Apr →
anubis10–13-0.0126%26 Apr →
mirage9–130.0234%26 Apr →
anubis10–13-0.0119%26 Apr →
dust29–13-0.0229%26 Apr →
ancient13–50.0422%26 Apr →
dust20–9-0.025%26 Apr →
nuke6–13-0.0318%26 Apr →
inferno3–13-0.0624%26 Apr →
nuke13–70.0541%26 Apr →
mirage13–40.0835%26 Apr →
dust215–15-0.0520%26 Apr →
mirage13–90.0433%26 Apr →
dust22–60.0122%26 Apr →
mirage4–00.0475%26 Apr →
overpass2–13-0.0416%26 Apr →
overpass10–130.0211%25 Apr →
inferno13–7-0.0714%25 Apr →
inferno13–80.0219%25 Apr →
mirage14–160.0020%25 Apr →
mirage11–13-0.0124%24 Apr →
dust213–10-0.0120%23 Apr →
dust215–150.0316%18 Apr →
anubis13–2-0.0019%18 Apr →
mirage5–130.0616%18 Apr →
nuke10–13-0.0124%18 Apr →
dust213–80.0722%17 Apr →
overpass11–130.0128%16 Apr →
ancient9–130.0214%16 Apr →
anubis6–7-0.0160%16 Apr →
inferno10–13-0.0320%16 Apr →
inferno13–10-0.0525%16 Apr →
dust25–13-0.039%16 Apr →
dust213–60.0927%10 Apr →
mirage13–110.0434%10 Apr →
inferno13–110.0526%10 Apr →
ancient13–110.0119%26 Mar →
dust25–13-0.0431%25 Mar →
nuke8–13-0.0028%25 Mar →
dust211–13-0.0226%25 Mar →
dust28–13-0.0017%25 Mar →
dust28–13-0.0418%25 Mar →
anubis14–160.0022%25 Mar →
dust215–150.0124%25 Mar →
dust216–14-0.0316%25 Mar →
dust215–150.0136%25 Mar →
mirage6–13-0.1015%25 Mar →
dust213–30.0426%25 Mar →
ancient6–130.0332%25 Mar →
dust211–13-0.0623%25 Mar →
mirage13–80.0929%25 Mar →
ancient13–60.0635%25 Mar →
mirage11–130.0528%25 Mar →
mirage13–70.0927%25 Mar →
dust25–130.0426%25 Mar →
mirage3–13-0.0043%25 Mar →
inferno6–13-0.0237%25 Mar →
dust21–13-0.139%25 Mar →
dust23–130.0130%25 Mar →
inferno14–160.0622%25 Mar →
mirage13–10-0.0227%25 Mar →
ancient13–70.0929%25 Mar →
dust213–11-0.0231%25 Mar →
dust27–130.0723%25 Mar →
dust28–130.1120%25 Mar →
dust213–40.1324%25 Mar →
dust213–00.000%25 Mar →
inferno7–130.0618%25 Mar →
ancient13–30.0829%25 Mar →
dust213–10.1734%25 Mar →
inferno3–13-0.0048%25 Mar →
ancient13–70.0324%25 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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