H/nkka

H/nkka — CS2 Stats

76561198930286741[U:1:970021013]Steam profile ↗✓ No bans

904Tracked matches50%Win rate2020Tracked since
975Hours in CS
CSDB Rating5.6 SolidPositional Player
FaceitLevel 7 · 1,637 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,087 +4,903 9 Feb – 15 Aug · 9 days played
11,38219,369peak 19,3699 Feb15 Aug
19,592Peak Premier in tracked matches
1,637Highest Faceit ELO seen on CSDB
31Days played since 2026-02-07

Faceit ELO

  • At peak — 1,637
  • Next: Level 9 at 1,751 — 114 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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 7 among CSDB-tracked players (n=14,595), 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 7 medianLevel 8 medianvs Level 8
Headshot rate51.5%45.7%46.8%above
Shot accuracy16.0%12.7%13.0%above
Kill/death ratio1.121.051.06above
Match win rate43.1%45.7%46.3%3.2% short

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGH/nkkaFACEITLevel 7 · 1,637 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,637csdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateLLLWLWLLWL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −1.3pp headshot accuracy · +79ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 572ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 586ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 547ms

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 (+1.5 against its own average).

Aim7.5
Utility4.6
Positioning5.6
Opening Duels3.8
Clutch2.4

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 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 50% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim7.5
Positioning5.6
Utility4.6
Mechanics7.3
Opening Duels2.9
Win Impact5.0

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time557ms−53ms
first ⅓ avg 611ms → last ⅓ avg 557ms
Headshot accuracy18.5%+0.6%
first ⅓ avg 17.9% → last ⅓ avg 18.5%

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 · 9–1 · vertigo, 23 Sept →
50%Best headshot accuracy · 3–0 · mirage, 9 Aug →
375msFastest reaction time · 7–9 · vertigo, 15 Aug →
13–1Biggest win · ancient, 9 Feb →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 62% over 21infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%0.02
vertigoC187–1139%0.03
infernoD124–833%0.01
dust2C114–736%0.00
cacheA116–555%0.01
anubisC104–640%0.01
ancientA95–456%0.01
nukeA74–357%-0.01
overpass—11–0100%0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

61,183Lifetime kills
1.12K/D · Top 50% of Level 7 players
3,005Matches
43.1%Match win rate
51.5%Headshot % · Top 25% of Level 7 players
16.0%Shot accuracy · Top 25% of Level 7 players
12,713MVPs
975Hours (in match)
2,733Bombs planted
723Bombs defused

Most-used weapons

AK-4721,382
AWP7,765
MP91,544
FAMAS1,184
Knife916

Lifetime map wins

6,238inferno
1,770vertigo
1,433dust2
1,296train
962cbble
816nuke
36office
35lake

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

Faceit stats

Combat

441Matches
51%Win rate
1.17Avg K/D
87.7ADR
43%Headshot %

Clutches & streaks

32%1v1 clutch win
29%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9453%1.1516.0
Anubis3962%1.2217.9
Inferno3053%1.2816.8
Ancient1844%1.2416.0
Vertigo956%1.1116.6
Dust2967%0.9114.1
Nuke729%1.2916.1
Overpass367%1.3820.3

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.

17.7%Headshot accuracy
35.8%Accuracy (enemy spotted)
40.0%Spray accuracy
83.0%Counter-strafing
10.2°Preaim
577msReaction time
32.5%T opening success
50.4%CT opening success
0.55Enemies flashed / flash
4.0%Flash assists
4.92HE damage / grenade
11.42Flashes / 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 32.4826% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0318%22 Oct →
vertigo5–9-0.0410%3 Oct →
vertigo6–9-0.0733%3 Oct →
vertigo9–10.1718%23 Sept →
mirage5–13-0.0214%21 Sept →
vertigo9–30.1532%21 Sept →
vertigo7–9-0.0221%18 Aug →
dust21–13-0.037%15 Aug →
ancient13–7-0.0117%15 Aug →
mirage8–13-0.0112%15 Aug →
vertigo7–9-0.0819%15 Aug →
inferno9–30.1631%15 Aug →
vertigo7–9-0.0723%15 Aug →
dust29–13-0.0315%15 Aug →
mirage13–8-0.0425%12 Aug →
cache13–11-0.0116%12 Aug →
mirage2–13-0.0016%12 Aug →
nuke3–13-0.1013%12 Aug →
ancient6–13-0.0418%11 Aug →
nuke13–9-0.0120%11 Aug →
vertigo8–80.0028%11 Aug →
vertigo9–50.1116%11 Aug →
inferno2–9-0.2214%11 Aug →
inferno6–9-0.0115%11 Aug →
inferno9–70.0515%11 Aug →
dust213–9-0.0115%11 Aug →
anubis2–13-0.0214%11 Aug →
mirage7–10.0222%11 Aug →
anubis10–13-0.0113%11 Aug →
anubis10–130.0725%10 Aug →
ancient7–13-0.0118%10 Aug →
ancient13–50.0622%10 Aug →
ancient5–130.0213%10 Aug →
ancient13–110.0720%9 Aug →
inferno13–100.0523%9 Aug →
dust213–7-0.0218%9 Aug →
mirage3–0-0.0450%9 Aug →
vertigo9–50.0221%9 Aug →
vertigo9–40.1041%9 Aug →
vertigo9–30.1414%9 Aug →
inferno4–130.0520%9 Aug →
mirage9–13-0.0416%9 Aug →
anubis13–70.0822%8 Aug →
nuke13–100.0317%8 Aug →
mirage13–20.0313%8 Aug →
nuke13–100.0621%8 Aug →
ancient10–30.0219%8 Aug →
dust25–13-0.0720%8 Aug →
cache13–110.007%8 Aug →
anubis3–13-0.0225%8 Aug →
mirage13–7-0.0213%8 Aug →
dust213–9-0.0015%7 Aug →
inferno9–40.1627%7 Aug →
dust28–13-0.0018%7 Aug →
mirage13–40.1038%30 Jul →
dust213–40.0527%25 Jul →
cache9–130.0235%8 Jun →
cache13–9-0.0217%6 Jun →
nuke3–13-0.0918%6 Jun →
vertigo9–40.0319%2 Jun →
vertigo7–9-0.0416%1 Jun →
vertigo4–9-0.0229%28 May →
vertigo4–9-0.029%28 May →
mirage13–70.1219%27 May →
mirage0–13-0.0035%22 May →
cache13–100.0724%22 May →
cache13–60.0026%22 May →
cache3–13-0.0122%22 May →
cache9–130.0713%22 May →
cache13–4-0.0320%18 May →
vertigo8–80.0137%29 Apr →
cache7–13-0.0135%29 Apr →
cache12–120.0122%29 Apr →
anubis5–130.0131%10 Mar →
anubis19–15-0.027%17 Feb →
mirage13–20.034%17 Feb →
mirage13–100.0121%15 Feb →
dust210–130.0617%13 Feb →
mirage9–130.0438%12 Feb →
dust27–130.0511%12 Feb →
dust29–130.0122%12 Feb →
inferno5–13-0.066%12 Feb →
inferno11–13-0.0512%9 Feb →
nuke11–13-0.0517%9 Feb →
nuke13–110.0715%9 Feb →
mirage13–30.0015%9 Feb →
inferno6–130.0413%9 Feb →
ancient13–10.0219%9 Feb →
mirage13–50.1220%9 Feb →
mirage6–130.0520%9 Feb →
overpass13–50.1020%9 Feb →
inferno6–13-0.0330%9 Feb →
ancient7–13-0.0412%9 Feb →
mirage13–30.1026%9 Feb →
mirage1–13-0.1111%9 Feb →
anubis16–140.0713%9 Feb →
inferno6–9-0.0713%8 Feb →
vertigo8–80.1711%8 Feb →
anubis16–13-0.029%8 Feb →
mirage13–10-0.008%7 Feb →

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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