kNstaaa

kNstaaa — CS2 Stats

FI76561198267143502[U:1:306877774]Steam profile ↗✓ No bans

5,392Tracked matches63%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 10 · 2,308 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGkNstaaaFACEITLevel 10 · 2,308 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim75
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

HOT55–45Last 10055%Win rateWWWLWWLWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.1pp headshot accuracy · +52ms 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 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 662ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 636ms

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 (+1.3 against its own average).

Aim7.5
Utility4.6
Positioning5.6
Opening Duels3.5
Clutch3.4

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

s1mple

Plays most like s1mple 94% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms 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
Mechanics7.5
Opening Duels2.9
Win Impact9.4

Composite 6.4/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time617ms+18ms
first ⅓ avg 599ms → last ⅓ avg 617ms
Headshot accuracy17.1%−2.7%
first ⅓ avg 19.8% → last ⅓ avg 17.1%

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 · 13–5 · cache, 3 May →
47%Best headshot accuracy · 13–5 · ancient, 22 Feb →
398msFastest reaction time · 5–13 · ancient, 15 Mar →
13–1Biggest win · inferno, 22 Feb →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
15–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 75% over 28anubisWeakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
ancientS2821–775%-0.01
anubisC166–1038%-0.02
dust2B147–750%-0.03
nukeB115–645%-0.02
infernoA106–460%-0.01
mirageB105–550%-0.00
overpassC94–544%-0.02
cache—11–0100%0.12
train—10–10%0.07

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,829Matches
51%Win rate
1.04Avg K/D
73.9ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
16%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient47255%1.0815.9
Anubis32749%1.0415.2
Inferno17050%1.0214.0
Nuke15747%1.0114.6
Vertigo15353%1.0815.1
Mirage15250%1.0314.8
Overpass9153%1.1415.6
Train6856%1.1016.3

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.

15.8%Headshot accuracy
36.8%Accuracy (enemy spotted)
43.4%Spray accuracy
83.8%Counter-strafing
9.6°Preaim
623msReaction time
32.8%T opening success
50.2%CT opening success
0.57Enemies flashed / flash
7.3%Flash assists
8.93HE damage / grenade
6.96Flashes / 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 32.7634% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.0215%16 May →
dust213–110.0112%3 May →
cache13–50.1222%3 May →
inferno10–13-0.0211%28 Apr →
ancient13–10-0.0514%27 Apr →
inferno13–10-0.0315%17 Apr →
mirage14–16-0.0321%17 Apr →
ancient13–60.0212%4 Apr →
nuke3–13-0.0610%4 Apr →
overpass13–70.0617%3 Apr →
ancient13–11-0.0621%3 Apr →
nuke25–23-0.0114%2 Apr →
anubis3–13-0.0610%1 Apr →
inferno13–100.0123%30 Mar →
dust24–13-0.0514%27 Mar →
ancient13–110.0210%27 Mar →
nuke13–30.0221%27 Mar →
ancient13–11-0.0011%27 Mar →
ancient11–130.0119%21 Mar →
ancient6–13-0.0818%20 Mar →
dust24–13-0.0720%19 Mar →
anubis13–110.038%19 Mar →
anubis13–9-0.0517%19 Mar →
mirage13–70.1018%17 Mar →
overpass11–13-0.0314%16 Mar →
ancient16–120.0114%16 Mar →
dust213–9-0.0128%16 Mar →
overpass11–130.039%16 Mar →
dust29–13-0.0522%16 Mar →
mirage13–90.0117%16 Mar →
ancient5–13-0.0543%15 Mar →
inferno13–40.0628%15 Mar →
ancient19–16-0.0616%15 Mar →
anubis8–130.0220%15 Mar →
ancient4–13-0.0118%14 Mar →
mirage13–6-0.0226%14 Mar →
dust28–13-0.1019%14 Mar →
overpass4–13-0.0325%13 Mar →
nuke10–13-0.0625%12 Mar →
ancient19–160.0016%10 Mar →
mirage3–13-0.0120%10 Mar →
nuke13–11-0.0124%8 Mar →
ancient16–14-0.0123%8 Mar →
mirage16–140.0126%27 Feb →
inferno16–13-0.0123%27 Feb →
ancient4–13-0.0422%26 Feb →
mirage9–13-0.0113%26 Feb →
anubis13–80.0115%26 Feb →
anubis10–13-0.0017%26 Feb →
overpass6–13-0.0718%25 Feb →
ancient13–9-0.0611%24 Feb →
mirage9–13-0.0332%23 Feb →
nuke13–110.0117%22 Feb →
anubis10–13-0.0518%22 Feb →
inferno13–10.1011%22 Feb →
ancient13–5-0.0147%22 Feb →
anubis13–110.0115%22 Feb →
ancient11–13-0.0519%22 Feb →
mirage22–19-0.0212%22 Feb →
inferno7–13-0.1016%21 Feb →
dust213–10-0.0629%21 Feb →
mirage11–13-0.0515%21 Feb →
anubis7–13-0.0111%21 Feb →
ancient19–16-0.0317%19 Feb →
dust213–50.0122%19 Feb →
anubis13–110.0014%19 Feb →
overpass8–13-0.0316%16 Feb →
ancient13–110.0323%16 Feb →
overpass16–12-0.0516%16 Feb →
nuke11–130.0429%11 Feb →
ancient13–40.0117%9 Feb →
dust28–13-0.0414%9 Feb →
overpass13–20.0129%9 Feb →
dust26–13-0.0420%8 Feb →
anubis4–13-0.0417%8 Feb →
nuke4–13-0.0616%8 Feb →
anubis5–13-0.0514%8 Feb →
dust213–100.0421%8 Feb →
ancient13–50.0819%8 Feb →
anubis6–13-0.0921%8 Feb →
ancient13–110.0020%7 Feb →
nuke13–8-0.0526%7 Feb →
overpass13–4-0.0217%7 Feb →
anubis10–13-0.0316%6 Feb →
nuke1–13-0.0711%5 Feb →
ancient13–11-0.0220%31 Jan →
anubis9–13-0.047%31 Jan →
dust216–12-0.0322%27 Jan →
nuke11–13-0.0221%23 Jan →
inferno8–13-0.0617%22 Jan →
ancient13–10-0.0114%21 Jan →
ancient13–80.0236%21 Jan →
ancient13–10-0.0321%21 Jan →
inferno13–9-0.0516%20 Jan →
anubis13–6-0.0424%20 Jan →
ancient8–13-0.0121%18 Jan →
dust212–15-0.0518%18 Jan →
train11–130.0719%18 Jan →
inferno8–13-0.0227%18 Jan →
dust213–60.0624%18 Jan →

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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