ηεχβψ

ηεχβψ — CS2 Stats

ES76561197984881195[U:1:24615467]Steam profile ↗✓ No bans

1,929Tracked matches57%Win rate2020Tracked since
3,464Hours in CS
CSDB Rating6.4 SolidSupport
FaceitLevel 10 · 2,340 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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 rate56.8%50.9%
Shot accuracy19.7%13.7%
Kill/death ratio1.791.09
Match win rate49.3%48.4%

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CSDB.GGηεχβψFACEITLevel 10 · 2,340 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning46
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY53–47Last 10053%Win rateWLLWLWLWLW

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −2.0pp headshot accuracy · +44ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 560ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 12%
  • Avg reaction 551ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 529ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim8.1
Utility7.1
Positioning4.6
Opening Duels0.0
Clutch5.0

Strong CT-side openerEffective 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

ropz

Plays most like ropz 69% 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

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 41% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning4.6
Utility7.1
Mechanics7.7
Opening Duels1.3
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 rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time539ms−14ms
first ⅓ avg 553ms → last ⅓ avg 539ms
Headshot accuracy13.1%+0.3%
first ⅓ avg 12.8% → last ⅓ avg 13.1%

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

0.19Best match rating · 9–1 · nuke, 28 Nov →
34%Best headshot accuracy · 8–13 · dust2, 6 Oct →
367msFastest reaction time · 13–3 · mirage, 24 Jan →
13–1Biggest win · ancient, 27 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–14In matches decided by ≤2 rounds
20Overtime games

Map breakdown

dust2Best map · 70% over 10ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%0.02
infernoB2110–1148%0.03
ancientD155–1033%0.01
nukeS139–469%0.04
dust2S107–370%0.02
trainA74–357%0.02
overpassS64–267%0.03
anubisC52–340%-0.03
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

260,167Lifetime kills
1.79K/D · Top 5% of Level 10 players
11,379Matches
49.3%Match win rate · Top 50% of Level 10 players
56.8%Headshot % · Top 25% of Level 10 players
19.7%Shot accuracy · Top 5% of Level 10 players
23,554MVPs
3,464Hours (in match)
6,212Bombs planted
3,396Bombs defused

Most-used weapons

AK-4763,929
AWP22,460
Negev6,708
P905,819
P2505,764

Lifetime map wins

23,196inferno
9,797dust2
4,770nuke
2,599vertigo
2,350train
619cbble
206office
197lake

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

Faceit stats

Combat

1,561Matches
53%Win rate
1.19Avg K/D
80.7ADR
33%Headshot %

Clutches & streaks

45%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient10044%1.3314.6
Mirage8953%1.1515.3
Overpass6260%1.2215.8
Anubis5646%1.0113.9
Inferno5551%1.2517.6
Vertigo4050%1.0616.5
Nuke3447%1.1116.1
Dust21662%1.2315.8

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.

13.0%Headshot accuracy
40.6%Accuracy (enemy spotted)
44.2%Spray accuracy
84.7%Counter-strafing
10.4°Preaim
542msReaction time
17.6%T opening success
40.8%CT opening success
0.74Enemies flashed / flash
9.8%Flash assists
9.71HE damage / grenade
13.50Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.0081% — below the 15% mark we flag

    Aim Training →
  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 17.562% — below the 40% mark we flag

Spend your practice time on Ancient

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 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–10-0.058%14 Oct →
mirage4–100.0311%27 Jan →
mirage9–13-0.037%18 Jan →
inferno13–40.0912%8 Dec →
dust211–13-0.0117%30 Nov →
nuke9–10.1915%28 Nov →
inferno14–16-0.008%27 Nov →
mirage13–30.1112%27 Nov →
ancient5–13-0.0416%25 Nov →
dust213–50.1115%25 Nov →
train13–90.0112%23 Nov →
inferno11–130.0614%22 Nov →
inferno14–160.0015%16 Nov →
inferno13–100.078%16 Nov →
ancient13–6-0.0315%14 Nov →
overpass13–80.0211%14 Nov →
train13–30.0319%13 Nov →
mirage13–80.0116%13 Nov →
mirage8–130.0117%13 Nov →
inferno9–130.0415%12 Nov →
train10–130.0615%12 Nov →
inferno8–130.068%10 Nov →
nuke13–110.0414%10 Nov →
nuke13–50.1115%10 Nov →
dust23–130.0222%10 Nov →
inferno13–110.0318%9 Nov →
nuke13–5-0.0014%5 Nov →
mirage13–110.018%3 Nov →
overpass13–8-0.0010%3 Nov →
mirage13–90.0719%3 Nov →
inferno14–160.018%3 Nov →
mirage16–13-0.0412%30 Oct →
inferno10–13-0.038%30 Oct →
mirage13–110.0112%28 Oct →
overpass13–16-0.0111%27 Oct →
ancient13–90.0814%27 Oct →
ancient13–10.1118%27 Oct →
dust213–50.0217%27 Oct →
inferno13–80.1117%23 Oct →
mirage17–190.0019%23 Oct →
dust228–260.028%23 Oct →
mirage13–40.069%22 Oct →
mirage15–190.0414%20 Oct →
mirage17–190.0114%19 Oct →
mirage10–130.0115%19 Oct →
train11–13-0.0218%15 Oct →
ancient13–160.0215%14 Oct →
nuke14–160.0816%13 Oct →
dust213–80.0516%13 Oct →
ancient10–130.0616%13 Oct →
overpass13–50.0719%13 Oct →
ancient9–130.1113%13 Oct →
inferno13–10-0.0014%12 Oct →
mirage13–11-0.0110%12 Oct →
inferno16–120.039%10 Oct →
ancient10–13-0.0513%9 Oct →
mirage11–13-0.0212%7 Oct →
dust28–13-0.0034%6 Oct →
train13–11-0.0118%6 Oct →
ancient8–130.037%30 Sept →
ancient9–130.018%29 Sept →
overpass14–160.036%29 Sept →
mirage13–80.0414%27 Sept →
inferno14–160.0710%27 Sept →
dust213–30.066%27 Sept →
mirage13–60.055%27 Sept →
ancient9–13-0.0019%25 Sept →
overpass13–80.0410%25 Sept →
inferno9–13-0.014%18 Sept →
mirage10–130.0220%17 Sept →
inferno7–13-0.0025%14 Sept →
inferno16–13-0.017%14 Sept →
inferno13–60.055%14 Sept →
nuke13–11-0.0215%14 Sept →
nuke11–13-0.0412%13 Sept →
nuke21–25-0.003%12 Sept →
train9–130.0322%12 Sept →
train13–110.0420%12 Sept →
nuke16–130.049%12 Sept →
inferno12–16-0.019%12 Sept →
nuke13–80.123%8 Sept →
nuke13–60.0817%24 Jan →
mirage13–30.0319%24 Jan →
anubis13–10-0.0223%24 Jan →
inferno13–10-0.0215%24 Jan →
mirage3–130.0219%15 Oct →
anubis6–13-0.0514%30 May →
nuke2–13-0.0816%30 May →
dust213–80.019%30 May →
anubis13–6-0.0511%29 May →
nuke13–8-0.058%29 May →
ancient16–14-0.0312%22 May →
anubis9–13-0.0213%15 May →
ancient6–13-0.058%13 May →
anubis6–130.0013%8 May →
ancient8–13-0.0615%7 May →
vertigo13–30.0317%6 May →
inferno13–30.1010%6 May →
mirage11–130.099%5 May →
ancient16–130.0515%5 May →

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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