EsKonik

EsKonik — CS2 Stats

76561198136727839[U:1:176462111]Steam profile ↗✓ No bans

1,067Tracked matches57%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

+19Tracked matches · now 1,067
−6.7ppWin rate · 63.3% → 56.7%

Rating over time

38Days played since 2026-07-20

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGEsKonikFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim82
Positioning53
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY54–46Last 10054%Win rateLWWWLLLLWW

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · +4.5pp headshot accuracy · +18ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 33%
  • Avg reaction 530ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 546ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 537ms

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 (+1.2 against its own average).

Aim8.2
Utility5.1
Positioning5.3
Opening Duels2.7
Clutch3.4

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

b1t

Plays most like b1t 98% playstyle similarity

Most alike: positioning profile, 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

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

Reaction time. 550ms 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

Aim8.2
Positioning5.3
Utility5.1
Mechanics6.4
Opening Duels4.1
Win Impact7.2

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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time553ms−55ms
first ⅓ avg 608ms → last ⅓ avg 553ms
Headshot accuracy20.8%−1.8%
first ⅓ avg 22.5% → last ⅓ avg 20.8%

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

0.15Best match rating · 13–3 · inferno, 7 Sept →
56%Best headshot accuracy · 4–3 · mirage, 28 Sept →
422msFastest reaction time · 13–9 · dust2, 16 Aug →
13–2Biggest win · cache, 7 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–7In matches decided by ≤2 rounds
19Overtime games

Map breakdown

cacheBest map · 67% over 12infernoWeakest map · 45% over 22
MapGradePlayedRecordWin rateAvg rating
dust2B3015–1550%0.02
infernoB2210–1245%0.03
ancientA1811–761%0.00
mirageA169–756%0.02
cacheS128–467%0.02
anubis—21–150%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

401Matches
51%Win rate
1.06Avg K/D
79.1ADR
46%Headshot %

Clutches & streaks

37%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Dust212151%1.1316.1
Inferno6957%1.0916.1
Ancient5459%1.0815.3
Mirage4337%0.9614.7
Cache3053%0.9814.3
Nuke1020%0.8910.9
Anubis667%1.1215.5
Overpass425%1.0015.0

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.

19.6%Headshot accuracy
37.9%Accuracy (enemy spotted)
38.3%Spray accuracy
78.6%Counter-strafing
8.3°Preaim
550msReaction time
51.8%T opening success
41.2%CT opening success
0.45Enemies flashed / flash
9.3%Flash assists
14.90HE damage / grenade
4.90Flashes / 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 0.4476 — below the 0.5 mark we flag

    Grenade Lineups →
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.

45% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust217–19-0.0121%30 Sept →
mirage13–9-0.0121%28 Sept →
mirage4–3-0.0156%28 Sept →
inferno13–50.0131%27 Sept →
dust211–130.0134%25 Sept →
inferno10–130.1312%25 Sept →
ancient12–16-0.0415%25 Sept →
mirage9–13-0.094%25 Sept →
mirage16–130.0117%23 Sept →
ancient13–11-0.0718%23 Sept →
ancient16–130.0120%16 Sept →
cache13–90.1119%16 Sept →
mirage13–100.0714%13 Sept →
ancient13–80.0127%13 Sept →
ancient13–30.0123%13 Sept →
dust214–16-0.0019%7 Sept →
inferno13–30.1522%7 Sept →
mirage13–30.0115%7 Sept →
ancient8–13-0.0810%6 Sept →
inferno16–140.0113%6 Sept →
dust26–13-0.0723%6 Sept →
dust28–13-0.0626%5 Sept →
mirage13–100.0018%2 Sept →
dust213–40.0310%28 Aug →
dust213–50.0126%26 Aug →
inferno13–3-0.0023%26 Aug →
dust210–13-0.0225%25 Aug →
ancient12–160.0224%25 Aug →
cache10–13-0.0221%24 Aug →
inferno10–130.0211%24 Aug →
ancient13–60.0214%24 Aug →
mirage7–130.0529%24 Aug →
dust219–170.0224%23 Aug →
mirage7–130.0019%23 Aug →
inferno5–13-0.0523%23 Aug →
dust213–11-0.0213%20 Aug →
inferno13–6-0.027%20 Aug →
dust213–9-0.039%16 Aug →
cache13–90.0332%15 Aug →
inferno13–70.019%15 Aug →
dust210–130.0125%15 Aug →
dust213–90.0220%15 Aug →
ancient9–13-0.0116%14 Aug →
inferno7–130.0523%14 Aug →
ancient13–7-0.0521%12 Aug →
cache13–10-0.0221%12 Aug →
inferno13–100.0417%12 Aug →
dust210–130.0421%12 Aug →
dust213–40.0822%12 Aug →
cache16–130.0521%11 Aug →
inferno6–130.0133%11 Aug →
mirage13–70.0635%9 Aug →
cache9–13-0.0516%9 Aug →
cache13–90.0024%9 Aug →
dust27–13-0.0815%9 Aug →
cache16–14-0.0022%8 Aug →
dust213–110.0628%8 Aug →
dust213–50.0432%8 Aug →
anubis13–50.0712%8 Aug →
dust29–13-0.0212%8 Aug →
dust24–13-0.0127%7 Aug →
ancient13–110.0710%7 Aug →
cache14–160.0318%7 Aug →
cache13–20.0417%7 Aug →
ancient13–100.0814%7 Aug →
dust214–160.0924%3 Aug →
ancient13–50.019%3 Aug →
dust25–130.0220%3 Aug →
inferno10–13-0.0227%3 Aug →
dust216–14-0.0121%3 Aug →
inferno19–170.0420%2 Aug →
ancient13–10-0.0315%31 Jul →
inferno9–130.0813%30 Jul →
dust213–70.0926%30 Jul →
mirage8–130.0222%29 Jul →
ancient10–13-0.0231%29 Jul →
ancient6–13-0.0526%29 Jul →
mirage10–130.0223%29 Jul →
dust213–16-0.0024%28 Jul →
inferno13–80.0821%28 Jul →
anubis8–13-0.0716%27 Jul →
dust213–110.1025%26 Jul →
mirage13–40.0937%26 Jul →
dust219–150.0822%25 Jul →
inferno9–13-0.0324%25 Jul →
ancient13–40.0916%25 Jul →
ancient7–130.0522%25 Jul →
dust213–70.0317%25 Jul →
mirage7–130.0224%24 Jul →
inferno8–130.0026%24 Jul →
inferno16–120.0218%24 Jul →
inferno15–19-0.0213%24 Jul →
dust213–20.0829%24 Jul →
cache10–130.0225%23 Jul →
mirage10–130.0020%23 Jul →
cache13–40.0729%23 Jul →
inferno11–130.0929%23 Jul →
mirage13–100.0530%22 Jul →
inferno14–16-0.0122%20 Jul →
dust210–130.0412%20 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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