Kram

Kram — CS2 Stats

DE76561198194523631[U:1:234257903]Steam profile ↗✓ No bans

887Tracked matches53%Win rate2020Tracked since
943Hours in CS
CSDB Rating5.4 DevelopingPositional Player
CSDB Leaderboard#40317 of 259882 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 23,306 +814 21 Feb – 27 Jun · 14 days played
20,65123,406peak 23,40621 Feb27 Jun
23,525Peak Premier in tracked matches
54Days played since 2026-01-05

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 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate41.3%46.8%48.2%7.0% short
Shot accuracy11.7%13.0%13.2%1.5% short
Kill/death ratio1.071.061.07meets
Match win rate46.6%46.3%46.9%meets

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKramFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim77
Positioning44
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLWLWWWLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.0pp headshot accuracy · −3ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 595ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 600ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 602ms

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 (+1.1 against its own average).

Aim7.7
Utility3.6
Positioning4.4
Opening Duels1.4
Clutch3.8

Limited utility dependence

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 43% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 597ms 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

Aim7.7
Positioning4.4
Utility3.6
Mechanics6.2
Opening Duels1.6
Win Impact6.1

Composite 5.4/10 (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 rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time609ms−21ms
first ⅓ avg 630ms → last ⅓ avg 609ms
Headshot accuracy19.0%−1.5%
first ⅓ avg 20.5% → last ⅓ avg 19.0%

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

0.10Best match rating · 8–13 · office, 29 May →
50%Best headshot accuracy · 0–7 · inferno, 6 Mar →
398msFastest reaction time · 8–13 · inferno, 21 Feb →
13–3Biggest win · cache, 26 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 62% over 13mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
anubisA2012–860%-0.00
infernoB1910–953%-0.02
dust2A138–562%-0.00
mirageD113–827%-0.01
ancientC114–736%-0.02
officeC94–544%0.02
cacheC73–443%0.03
nuke—43–175%0.03
overpass—31–233%-0.01
italy—11–0100%-0.05
vertigo—10–10%-0.10
stronghold—11–0100%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

42,164Lifetime kills
1.07K/D · Top 50% of Level 8 players
2,033Matches
46.6%Match win rate · Top 50% of Level 8 players
41.3%Headshot %
11.7%Shot accuracy
5,292MVPs
943Hours (in match)
1,939Bombs planted
557Bombs defused

Most-used weapons

Lifetime map wins

6,795dust2
4,689inferno
1,679vertigo
836nuke
613train
185cbble
141office
41lake

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

Faceit stats

Combat

510Matches
53%Win rate
1.10Avg K/D
78.3ADR
40%Headshot %

Clutches & streaks

39%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno10563%1.1715.9
Anubis9562%1.0315.4
Dust24945%1.0315.7
Ancient3834%1.0317.1
Mirage3735%1.0915.2
Nuke1547%1.2019.6
Vertigo1217%1.1614.8
Cache650%1.4816.5

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.

18.1%Headshot accuracy
38.3%Accuracy (enemy spotted)
42.5%Spray accuracy
77.9%Counter-strafing
9.5°Preaim
597msReaction time
18.5%T opening success
42.9%CT opening success
0.37Enemies flashed / flash
4.1%Flash assists
7.72HE damage / grenade
2.57Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3704 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 18.4847% — below the 40% mark we flag

Spend your practice time on Mirage

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 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office9–130.0128%17 Sept →
mirage6–130.0424%13 Sept →
anubis16–14-0.0410%30 Jun →
cache9–13-0.0125%30 Jun →
inferno13–9-0.0122%29 Jun →
anubis13–11-0.0624%29 Jun →
cache13–50.0718%28 Jun →
mirage9–13-0.0322%28 Jun →
anubis13–7-0.066%27 Jun →
ancient4–13-0.0517%27 Jun →
cache13–30.0518%26 Jun →
anubis11–130.0217%26 Jun →
cache9–13-0.0235%26 Jun →
inferno11–13-0.0415%26 Jun →
dust213–80.0521%26 Jun →
inferno13–60.0113%25 Jun →
anubis13–100.0422%25 Jun →
inferno13–8-0.0114%25 Jun →
inferno8–8-0.0230%25 Jun →
inferno16–140.0011%24 Jun →
dust213–11-0.0411%24 Jun →
ancient20–220.0011%23 Jun →
cache13–50.069%23 Jun →
anubis4–13-0.0313%23 Jun →
anubis10–13-0.0130%23 Jun →
inferno8–13-0.0122%23 Jun →
inferno13–9-0.0319%22 Jun →
inferno13–30.0324%22 Jun →
nuke13–60.0522%21 Jun →
anubis10–13-0.0514%20 Jun →
cache6–130.0321%6 Jun →
office12–12-0.0311%5 Jun →
office9–130.0332%31 May →
office8–130.1033%29 May →
mirage13–110.0813%29 May →
office13–70.0115%28 May →
office8–13-0.0116%28 May →
office13–80.0324%25 May →
office13–5-0.0013%25 May →
office13–100.0528%24 May →
anubis13–110.0212%24 May →
nuke4–9-0.0021%10 May →
inferno9–6-0.0517%10 May →
anubis16–13-0.0710%6 May →
anubis13–160.048%30 Apr →
cache12–120.0220%29 Apr →
anubis13–10-0.029%26 Apr →
ancient7–13-0.0112%23 Apr →
mirage4–13-0.0111%10 Apr →
anubis7–130.088%10 Apr →
dust29–13-0.0227%6 Apr →
dust210–130.0418%6 Apr →
inferno9–130.1025%6 Apr →
italy13–8-0.0517%6 Apr →
anubis13–100.0220%6 Apr →
ancient13–16-0.0510%25 Mar →
ancient10–13-0.0316%25 Mar →
vertigo6–9-0.1022%20 Mar →
mirage13–90.0214%18 Mar →
mirage11–13-0.039%17 Mar →
anubis13–6-0.0224%17 Mar →
overpass7–130.0418%14 Mar →
overpass13–7-0.0510%6 Mar →
inferno0–7-0.1050%6 Mar →
anubis13–40.0219%5 Mar →
anubis13–40.0219%5 Mar →
mirage7–13-0.0424%3 Mar →
ancient9–13-0.0037%28 Feb →
inferno12–16-0.0312%28 Feb →
ancient3–7-0.0022%28 Feb →
dust27–1-0.0317%28 Feb →
dust213–60.0416%27 Feb →
dust213–8-0.0613%27 Feb →
anubis10–13-0.0430%26 Feb →
ancient13–3-0.0046%23 Feb →
anubis11–13-0.0717%22 Feb →
inferno8–13-0.0326%21 Feb →
mirage13–8-0.0414%21 Feb →
inferno4–13-0.0821%21 Feb →
overpass7–13-0.0426%19 Feb →
mirage2–13-0.1217%18 Feb →
ancient13–8-0.0115%18 Feb →
dust210–130.0217%16 Feb →
dust213–30.0217%16 Feb →
stronghold8–30.0126%13 Feb →
mirage3–13-0.0022%13 Feb →
dust26–13-0.0333%1 Feb →
inferno13–100.0226%31 Jan →
inferno15–150.0216%31 Jan →
nuke13–110.0120%31 Jan →
ancient13–8-0.0725%30 Jan →
anubis13–90.1016%30 Jan →
inferno13–5-0.028%30 Jan →
nuke13–50.0719%28 Jan →
inferno9–6-0.118%27 Jan →
dust27–13-0.0522%26 Jan →
ancient13–60.0211%25 Jan →
mirage14–16-0.0114%25 Jan →
dust213–30.0220%25 Jan →
dust213–4-0.0129%5 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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