kromaNN

kromaNN — CS2 Stats

DK76561198033249789[U:1:72984061]Steam profile ↗✓ No bans

1,112Tracked matches67%Win rate2020Tracked since
3,607Hours in CS
CSDB Rating5.1 DevelopingPositional Player
FaceitLevel 10 · 2,227 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,112 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,463 +347 31 Jan – 17 Apr · 4 days played
22,11623,602peak 23,60231 Jan17 Apr
23,602Peak Premier in tracked matches
2,227Highest Faceit ELO seen on CSDB
50Days played since 2024-02-18

Faceit ELO

  • At peak — 2,227
  • Next: 2,500 ELO at 2,500 — 273 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-02
  • Level 9 first seen 2026-09-02

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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 10 median
Headshot rate46.5%50.9%
Shot accuracy17.2%13.7%
Kill/death ratio0.991.09
Match win rate48.2%48.4%

Share this profile

CSDB.GGkromaNNFACEITLevel 10 · 2,227 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,227csdb.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

Aim54
Positioning48
Utility37

0–100 skill scores via Leetify.

Recent form

HOT53–46–1Last 10053%Win rateWWWWWLWWTW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +1.8pp headshot accuracy · −12ms reaction

Win rate up 30pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 541ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 600ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 606ms

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).

Aim5.4
Utility3.7
Positioning4.8
Opening Duels1.6
Clutch4.8

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

Strengths

Flashes. 0.80 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 609ms 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

Aim5.4
Positioning4.8
Utility3.7
Mechanics5.7
Opening Duels1.4
Win Impact10.0

Composite 5.1/10 (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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time606ms+38ms
first ⅓ avg 568ms → last ⅓ avg 606ms
Headshot accuracy21.7%+3.2%
first ⅓ avg 18.5% → last ⅓ avg 21.7%

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

0.12Best match rating · 13–2 · inferno, 11 May →
41%Best headshot accuracy · 13–6 · inferno, 10 Nov →
367msFastest reaction time · 1–13 · anubis, 30 Jan →
13–1Biggest win · ancient, 1 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
14–14In matches decided by ≤2 rounds
17Overtime games

Map breakdown

dust2Best map · 71% over 17mirageWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.01
mirageC208–1240%-0.00
dust2S1712–571%0.02
ancientB168–850%-0.01
overpassS107–370%0.02
vertigoB63–350%0.00
nukeC52–340%-0.01
anubis—31–233%-0.04
train—11–0100%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

141,524Lifetime kills
0.99K/D
6,190Matches
48.2%Match win rate
46.5%Headshot %
17.2%Shot accuracy · Top 25% of Level 10 players
18,720MVPs
3,607Hours (in match)
11,339Bombs planted
2,925Bombs defused

Most-used weapons

AK-4752,973
AWP18,049
P2503,408
Knife2,959
FAMAS2,799
AUG2,023

Lifetime map wins

14,381dust2
14,378inferno
4,822nuke
4,355train
1,896cbble
1,125vertigo
46safehouse
39office

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

Faceit stats

Combat

2,643Matches
52%Win rate
1.08Avg K/D
74.1ADR
44%Headshot %

Clutches & streaks

44%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage16147%0.9815.0
Ancient8752%1.0013.9
Inferno8656%1.1516.4
Dust26152%1.1116.3
Overpass4969%1.2415.8
Vertigo4844%0.9515.2
Nuke3053%1.2714.9
Anubis1414%0.7813.2

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.

21.6%Headshot accuracy
30.9%Accuracy (enemy spotted)
30.3%Spray accuracy
75.5%Counter-strafing
11.2°Preaim
609msReaction time
30.0%T opening success
41.0%CT opening success
0.80Enemies flashed / flash
15.3%Flash assists
8.71HE damage / grenade
11.49Flashes / 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 30.0057% — 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.

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–70.0214%6 Dec →
ancient13–10-0.0411%6 Dec →
inferno13–60.0841%10 Nov →
overpass13–80.0327%10 Nov →
dust213–80.1124%3 Nov →
ancient4–13-0.0625%11 Sept →
dust213–100.0117%6 Aug →
nuke13–60.0119%6 Aug →
inferno8–8-0.129%3 Aug →
overpass13–5-0.0020%1 Aug →
inferno0–10-0.0225%29 Jul →
nuke8–13-0.0618%24 Jul →
inferno5–13-0.0427%23 Jul →
dust213–110.0221%23 Jul →
dust213–40.0931%23 Jul →
mirage4–13-0.0718%22 Jul →
dust24–13-0.057%22 Jul →
ancient13–11-0.038%9 Jul →
mirage16–140.0320%7 Jul →
mirage13–3-0.0412%3 Jul →
inferno13–20.1228%11 May →
nuke5–13-0.0625%11 May →
inferno13–50.0517%9 May →
nuke13–11-0.0128%17 Apr →
inferno8–13-0.0127%17 Apr →
dust219–160.0424%12 Apr →
dust25–13-0.069%2 Feb →
dust213–60.0224%1 Feb →
dust213–80.0526%1 Feb →
dust28–130.0128%1 Feb →
inferno13–40.0032%1 Feb →
ancient13–10.0432%1 Feb →
inferno11–130.0524%31 Jan →
dust29–130.0321%31 Jan →
dust216–14-0.0425%31 Jan →
anubis13–100.0117%31 Jan →
mirage9–13-0.0427%31 Jan →
dust213–70.0320%31 Jan →
nuke9–130.0519%31 Jan →
inferno13–10-0.0419%30 Jan →
dust213–80.1023%30 Jan →
anubis1–13-0.0616%30 Jan →
mirage13–70.0422%30 Jan →
dust25–130.0220%30 Jan →
dust213–3-0.0238%29 Jan →
inferno13–30.1037%29 Jan →
inferno13–6-0.0021%29 Jan →
inferno11–130.0123%29 Jan →
mirage9–70.0529%28 Jan →
overpass13–70.1224%28 Jan →
inferno10–130.0321%28 Jan →
mirage13–110.0123%17 Jan →
ancient16–12-0.0418%31 Dec →
anubis7–13-0.0716%30 Dec →
inferno13–5-0.0426%28 Dec →
mirage7–13-0.0525%13 Dec →
mirage4–13-0.0133%12 Dec →
ancient11–13-0.0224%12 Dec →
train13–11-0.0224%14 Nov →
ancient16–14-0.0023%27 Oct →
mirage13–70.0338%26 Oct →
inferno17–190.0522%22 Oct →
dust213–70.0121%22 Oct →
ancient13–70.0424%27 Jun →
vertigo9–13-0.0521%10 Mar →
mirage6–130.0115%10 Mar →
overpass10–13-0.0012%7 Mar →
inferno13–100.0023%7 Mar →
inferno10–13-0.0612%7 Mar →
mirage11–13-0.0217%6 Mar →
inferno14–160.0015%6 Mar →
overpass13–11-0.0312%5 Mar →
vertigo9–130.0113%5 Mar →
overpass19–150.0218%5 Mar →
mirage16–140.0020%4 Mar →
vertigo14–16-0.0621%4 Mar →
ancient11–13-0.037%4 Mar →
vertigo13–110.0614%3 Mar →
inferno13–9-0.0113%1 Mar →
mirage9–13-0.0316%1 Mar →
ancient7–13-0.0721%1 Mar →
overpass8–13-0.0516%29 Feb →
ancient8–13-0.0423%29 Feb →
inferno11–13-0.0314%29 Feb →
mirage11–130.0212%29 Feb →
ancient14–160.0720%29 Feb →
mirage14–160.0012%29 Feb →
vertigo16–140.0425%29 Feb →
ancient13–30.0222%29 Feb →
ancient7–13-0.0521%28 Feb →
mirage16–190.0122%28 Feb →
overpass14–16-0.0211%27 Feb →
ancient13–11-0.0318%26 Feb →
inferno13–90.0331%26 Feb →
mirage6–13-0.0030%26 Feb →
vertigo16–120.0125%25 Feb →
mirage19–170.0122%20 Feb →
overpass13–50.0812%20 Feb →
mirage13–60.0626%19 Feb →
ancient10–130.0128%18 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K 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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