Kulspruta

Kulspruta — CS2 Stats

NO76561197961922860[U:1:1657132]Steam profile ↗✓ No bans

446Tracked matches36%Win rate2020Tracked since
CSDB Rating5.0 DevelopingClutch Specialist
Premier CS Rating21,311Top 50% of 199,032 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#62314 of 246126 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 May 2026 (131 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 41 days played since 19 Feb 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 21,311 +1,312 30 Jan – 18 May · 30 days played
19,33123,125peak 23,12530 Jan18 May
23,125Peak Premier in tracked matches
41Days played since 2025-02-19

Premier CS Rating

  • 1,814 below peak (23,125)
  • +1,980 over 30 days · improving
  • -1,814 over 90 days
  • Next: Red band at 25,000 — 3,689 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGKulsprutaFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,311 · Pink bandcsdb.gg/stats

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Performance scores

Aim61
Positioning46
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateWWTWLWLWLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.5pp headshot accuracy · −33ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 27%
  • Avg reaction 513ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 496ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 512ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.7 against its own average).

Aim6.1
Utility6.8
Positioning4.6
Opening Duels3.7
Clutch10.0

Reliable in 1v1s

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

jL

Plays most like jL 74% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; lower aim 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

Aim6.1
Positioning4.6
Utility6.8
Mechanics5.3
Opening Duels3.1
Win Impact0.2

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time526ms−31ms
first ⅓ avg 557ms → last ⅓ avg 526ms
Headshot accuracy23.0%+4.3%
first ⅓ avg 18.7% → last ⅓ avg 23.0%

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 · 9–4 · overpass, 14 Mar →
47%Best headshot accuracy · 5–13 · cache, 13 May →
344msFastest reaction time · 13–9 · mirage, 4 Feb →
13–1Biggest win · inferno, 31 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

overpassBest map · 67% over 12ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoB2915–1452%0.01
nukeA2011–955%0.02
dust2C207–1335%-0.00
overpassS128–467%0.03
mirageA85–363%0.03
ancientD50–50%-0.01
cache—30–30%0.00
vertigo—21–150%-0.11
train—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

519Matches
52%Win rate
1.26Avg K/D
89.8ADR
44%Headshot %

Clutches & streaks

100%1v1 clutch win
50%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno560%1.3717.0
Anubis540%1.2413.8
Overpass367%1.2015.0
Nuke2100%1.8024.0
Mirage1100%0.8713.0

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.

23.2%Headshot accuracy
28.9%Accuracy (enemy spotted)
29.3%Spray accuracy
73.9%Counter-strafing
10.6°Preaim
520msReaction time
35.8%T opening success
48.6%CT opening success
0.63Enemies flashed / flash
5.5%Flash assists
10.37HE damage / grenade
15.29Flashes / 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

    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 35.7861% — 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.

0% 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
inferno13–80.0426%18 May →
inferno13–70.0926%18 May →
ancient15–150.0415%14 May →
nuke13–70.0519%13 May →
cache5–13-0.0147%13 May →
nuke13–70.0544%13 May →
nuke13–16-0.0311%10 May →
inferno13–110.0531%3 May →
cache7–13-0.0314%2 May →
cache11–130.0418%2 May →
dust213–80.0424%25 Apr →
inferno13–60.0029%24 Apr →
dust27–13-0.0421%21 Apr →
dust215–150.0326%10 Apr →
dust211–13-0.0436%2 Apr →
inferno7–130.057%2 Apr →
dust212–16-0.0316%2 Apr →
inferno13–80.0331%29 Mar →
dust24–130.0234%29 Mar →
dust210–13-0.0033%28 Mar →
inferno8–130.0723%28 Mar →
ancient10–13-0.0218%28 Mar →
dust211–130.0329%28 Mar →
nuke5–13-0.0432%28 Mar →
inferno11–130.0212%8 Mar →
dust213–10-0.0213%6 Mar →
inferno2–13-0.0421%6 Mar →
nuke13–90.0818%3 Mar →
ancient4–13-0.0616%3 Mar →
ancient10–130.0417%27 Feb →
dust24–13-0.0521%27 Feb →
overpass13–7-0.0315%21 Feb →
dust210–13-0.0315%20 Feb →
nuke10–130.0327%20 Feb →
mirage9–130.0816%20 Feb →
dust213–8-0.0112%18 Feb →
nuke13–90.019%18 Feb →
inferno13–50.0322%15 Feb →
dust213–60.0720%15 Feb →
nuke13–20.1140%15 Feb →
inferno11–13-0.0311%14 Feb →
inferno13–110.0613%14 Feb →
dust213–7-0.0329%14 Feb →
nuke8–130.0820%13 Feb →
dust27–130.0328%13 Feb →
mirage4–130.0030%13 Feb →
nuke7–130.0428%13 Feb →
inferno13–90.0016%13 Feb →
nuke9–70.057%12 Feb →
inferno9–13-0.0422%11 Feb →
inferno13–5-0.0215%11 Feb →
dust27–13-0.0219%11 Feb →
nuke13–80.0415%10 Feb →
nuke13–110.0020%10 Feb →
mirage13–70.0724%10 Feb →
overpass10–130.0410%10 Feb →
dust29–130.0120%10 Feb →
overpass4–13-0.0422%8 Feb →
overpass13–11-0.0311%8 Feb →
inferno10–13-0.025%4 Feb →
mirage13–9-0.0028%4 Feb →
nuke11–130.0115%4 Feb →
inferno10–130.0318%4 Feb →
overpass13–100.0213%3 Feb →
nuke13–80.0438%3 Feb →
inferno13–110.0519%3 Feb →
dust213–100.0117%2 Feb →
ancient11–13-0.059%2 Feb →
inferno9–130.0316%2 Feb →
inferno13–10.0329%31 Jan →
overpass13–40.0725%30 Jan →
nuke14–160.0618%30 Jan →
inferno4–9-0.070%30 Jan →
inferno13–60.0816%28 Jan →
overpass13–110.0320%22 Jan →
overpass8–40.1511%22 Jan →
inferno13–90.0420%20 Jan →
nuke10–130.0513%19 Jan →
overpass7–130.0116%19 Jan →
mirage13–110.0527%19 Jan →
nuke13–8-0.0217%18 Jan →
dust213–50.0418%18 Jan →
mirage11–13-0.0126%18 Jan →
overpass6–13-0.0313%18 Jan →
dust24–13-0.0330%18 Jan →
overpass7–30.0716%18 Jan →
inferno13–9-0.0122%17 Jan →
mirage13–80.0721%18 Mar →
vertigo9–6-0.0013%18 Mar →
inferno5–9-0.0811%18 Mar →
inferno4–9-0.0324%18 Mar →
inferno8–80.0124%18 Mar →
inferno0–9-0.2713%18 Mar →
inferno9–40.0421%18 Mar →
nuke2–9-0.1232%18 Mar →
vertigo0–9-0.2217%14 Mar →
nuke4–8-0.0631%14 Mar →
overpass9–40.1621%14 Mar →
mirage13–4-0.0211%19 Feb →
train8–13-0.0716%19 Feb →

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 →