kInPaChI<

kInPaChI< — CS2 Stats

ES76561198059440089[U:1:99174361]Steam profile ↗✓ No bans

864Tracked matches57%Win rate2023Tracked since
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating12,082Blue band · top ~43.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (3 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. 47 days played since 22 May 2026. 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: 12,082 +5,576 6 Jul16 Sept · 9 days played
6,50612,082peak 12,0826 Jul16 Sept
12,082Peak Premier in tracked matches
47Days played since 2026-05-22

Premier CS Rating

  • At peak — 12,082
  • Next: Purple band at 15,000 2,918 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGkInPaChI<FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,082 · Blue bandcsdb.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

Aim48
Positioning46
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY46513Last 10046%Win rateWLLWWLLWLW

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · −2.1pp headshot accuracy · −46ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 678ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 646ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 669ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim4.8
Utility4.5
Positioning4.6
Opening Duels1.3
Clutch2.6

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

NiKo

Plays most like NiKo 77% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 660ms 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

Aim4.8
Positioning4.6
Utility4.5
Mechanics5.2
Opening Duels1.3
Win Impact7.2

Composite 4.4/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time661ms−48ms
first ⅓ avg 709ms → last ⅓ avg 661ms
Headshot accuracy20.0%−2.0%
first ⅓ avg 22.0% → last ⅓ avg 20.0%

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

0.07Best match rating · 9–13 · ancient, 24 Jun
100%Best headshot accuracy · 0–13 · ancient, 14 Aug
477msFastest reaction time · 11–8 · dust2, 21 Aug
13–0Biggest win · dust2, 22 May

Across the last 100 tracked matches.

Highlights

4Longest win streak
610In matches decided by ≤2 rounds
2Overtime games

Map breakdown

dust2Best map · 60% over 30infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A30181260%-0.02
ancientC2191243%-0.03
infernoC145936%-0.03
mirageB136746%-0.03
cacheC104640%-0.02
anubisC83538%-0.03
nuke41325%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

106Matches
49%Win rate
0.75Avg K/D
64.9ADR
50%Headshot %

Clutches & streaks

33%1v1 clutch win
10%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22759%0.7912.2
Mirage2560%0.7311.3
Ancient2035%0.7912.1
Inferno1638%0.7210.6
Nuke862%0.7612.8
Anubis729%0.599.4
Vertigo333%0.8511.7

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.

20.4%Headshot accuracy
28.5%Accuracy (enemy spotted)
32.1%Spray accuracy
73.4%Counter-strafing
9.8°Preaim
660msReaction time
30.5%T opening success
39.8%CT opening success
0.48Enemies flashed / flash
8.8%Flash assists
4.77HE damage / grenade
2.79Flashes / 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 0.4839 — 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 30.5226% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.0720%16 Sept
mirage9–13-0.0119%13 Sept
mirage5–13-0.0524%4 Sept
dust213–10-0.0018%4 Sept
ancient16–14-0.0212%3 Sept
dust28–13-0.0118%3 Sept
ancient11–13-0.0124%3 Sept
ancient13–50.0725%2 Sept
mirage6–13-0.0316%2 Sept
dust213–5-0.0020%2 Sept
mirage13–40.0117%1 Sept
dust213–10-0.0219%1 Sept
ancient13–10-0.0015%31 Aug
ancient10–13-0.0528%30 Aug
ancient8–13-0.0326%30 Aug
dust213–40.0231%30 Aug
cache13–11-0.0121%29 Aug
inferno13–8-0.0120%28 Aug
dust24–13-0.0416%28 Aug
ancient13–7-0.0424%27 Aug
dust213–9-0.0416%27 Aug
inferno10–13-0.0225%26 Aug
ancient13–8-0.0321%26 Aug
mirage1–3-0.170%25 Aug
ancient11–13-0.0524%25 Aug
anubis16–13-0.0219%25 Aug
dust20–13-0.0418%25 Aug
mirage13–50.0015%24 Aug
dust213–7-0.0429%24 Aug
dust25–13-0.0524%23 Aug
ancient2–13-0.0912%23 Aug
ancient11–13-0.0722%22 Aug
inferno12–12-0.0124%22 Aug
mirage2–70.0355%22 Aug
cache3–5-0.0418%22 Aug
dust211–8-0.0422%21 Aug
mirage13–6-0.0536%20 Aug
inferno13–50.0533%19 Aug
dust213–7-0.0620%19 Aug
cache5–13-0.0720%15 Aug
mirage6–13-0.0624%14 Aug
ancient0–13-0.10100%14 Aug
mirage8–13-0.0126%14 Aug
cache13–6-0.0230%14 Aug
dust22–13-0.0212%14 Aug
cache3–13-0.0315%13 Aug
dust20–6-0.0425%13 Aug
dust213–8-0.0126%13 Aug
inferno13–10-0.0131%12 Aug
dust213–3-0.0424%12 Aug
inferno7–13-0.0634%11 Aug
dust213–3-0.0626%11 Aug
dust25–13-0.0435%11 Aug
ancient13–70.0015%9 Aug
anubis12–12-0.0212%9 Aug
dust28–130.0119%9 Aug
cache1–7-0.0033%31 Jul
mirage13–8-0.0420%31 Jul
inferno13–2-0.0219%31 Jul
dust26–13-0.0420%25 Jul
dust210–130.0120%25 Jul
inferno3–13-0.1017%24 Jul
nuke5–13-0.0221%24 Jul
dust29–13-0.0726%24 Jul
anubis13–8-0.0416%24 Jul
inferno9–70.0438%24 Jul
anubis3–13-0.0919%23 Jul
mirage13–5-0.0332%23 Jul
dust213–7-0.0716%23 Jul
ancient11–13-0.0211%21 Jul
dust213–4-0.0017%21 Jul
inferno11–13-0.0332%20 Jul
dust213–9-0.0517%18 Jul
nuke13–40.0533%18 Jul
dust213–100.0128%17 Jul
ancient13–110.0234%12 Jul
cache12–120.0114%11 Jul
ancient3–6-0.1225%6 Jul
dust213–110.0125%6 Jul
anubis10–130.0119%6 Jul
nuke9–13-0.0420%5 Jul
ancient9–13-0.0514%5 Jul
dust29–130.0231%4 Jul
dust213–9-0.0628%3 Jul
anubis6–130.0329%3 Jul
ancient9–130.0720%24 Jun
anubis3–13-0.0132%24 Jun
inferno5–13-0.0818%18 Jun
cache13–50.0020%18 Jun
cache11–130.0224%16 Jun
ancient9–13-0.0317%12 Jun
inferno6–13-0.069%29 May
mirage13–9-0.0120%29 May
cache13–2-0.0431%29 May
anubis13–11-0.0726%28 May
nuke3–5-0.0315%26 May
inferno6–9-0.097%26 May
inferno11–130.0326%22 May
ancient8–5-0.0415%22 May
dust213–00.0619%22 May

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 →