(mental) 1ssue

(mental) 1ssue — CS2 Stats

NO76561198267984254[U:1:307718526]Steam profile ↗✓ No bans

1,958Tracked matches48%Win rate2020Tracked since
3,845Hours in CS1Hrs last 2 wks
CSDB Rating6.2 SolidPositional Player
FaceitLevel 10 · 2,585 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,585 → 2,585
+3Tracked matches · now 1,958
+6.9ppWin rate · 41.4% → 48.3%

Rating over time

Premier CS Rating: 17,848 -82 21 Aug – 5 Nov · 3 days played
17,49017,930peak 17,93021 Aug5 Nov
Faceit ELO: 2,585 +0 13 Sept – 22 Sept · 3 observations
2,5852,585peak 2,58513 Sept22 Sept
18,583Peak Premier in tracked matches
2,585Highest Faceit ELO seen on CSDB
67Days played since 2024-06-12

Faceit ELO

  • At peak — 2,585
  • Next: 3,000 ELO at 3,000 — 415 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-09-13
  • Level 10 first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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 rate56.3%50.9%
Shot accuracy15.0%13.7%
Kill/death ratio1.141.09
Match win rate49.5%48.4%

Share this profile

CSDB.GG(mental) 1ssueFACEITLevel 10 · 2,585 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,585csdb.gg/stats

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Performance scores

Aim80
Positioning58
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateWWWLLWLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +8.4pp headshot accuracy · +47ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 33%
  • Avg reaction 631ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 31%
  • Avg reaction 623ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 599ms

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).

Aim8.0
Utility3.8
Positioning5.8
Opening Duels4.4
Clutch4.0

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

donk

Plays most like donk 98% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

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

Reaction time. 602ms 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

Aim8.0
Positioning5.8
Utility3.8
Mechanics7.0
Opening Duels4.2
Win Impact4.4

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time613ms+67ms
first ⅓ avg 546ms → last ⅓ avg 613ms
Headshot accuracy25.9%+4.8%
first ⅓ avg 21.1% → last ⅓ avg 25.9%

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

0.25Best match rating · 9–6 · inferno, 4 Nov →
100%Best headshot accuracy · 5–13 · ancient, 4 Nov →
375msFastest reaction time · 16–14 · inferno, 12 Jan →
13–1Biggest win · cache, 22 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
6–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 60% over 5infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
ancientC3013–1743%0.01
infernoD186–1233%0.01
anubisB158–753%0.03
mirageB115–645%0.02
nukeC83–538%0.02
dust2B63–350%0.00
vertigoA53–260%0.01
train—42–250%0.02
cache—21–150%0.03
overpass—11–0100%0.13

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

138,661Lifetime kills
1.14K/D · Top 50% of Level 10 players
4,330Matches
49.5%Match win rate · Top 50% of Level 10 players
56.3%Headshot % · Top 50% of Level 10 players
15.0%Shot accuracy · Top 50% of Level 10 players
19,003MVPs
2,555Hours (in match)
3,861Bombs planted
2,428Bombs defused

Most-used weapons

AK-4765,996
AWP6,839
MP93,762
MAC-102,552
AUG2,512

Lifetime map wins

7,340vertigo
6,509inferno
4,231nuke
2,213dust2
893cbble
889train
8italy
6bank

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

Faceit stats

Combat

1,518Matches
54%Win rate
1.17Avg K/D
86.5ADR
52%Headshot %

Clutches & streaks

40%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient24255%1.1918.2
Anubis22360%1.2118.6
Mirage14439%1.0717.3
Vertigo11762%1.4621.6
Inferno5340%0.9514.6
Nuke3644%1.0016.2
Dust23057%1.0215.0
Overpass1127%1.2220.3

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.

22.7%Headshot accuracy
36.0%Accuracy (enemy spotted)
42.8%Spray accuracy
81.6%Counter-strafing
9.9°Preaim
602msReaction time
39.9%T opening success
53.9%CT opening success
0.51Enemies flashed / flash
9.9%Flash assists
10.74HE damage / grenade
7.44Flashes / 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 39.9227% — 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 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0226%23 Oct →
ancient13–4-0.0145%22 Sept →
cache13–10.0631%22 Sept →
cache9–130.0135%21 Jul →
mirage2–13-0.0328%21 Jul →
dust213–8-0.0118%7 May →
inferno5–9-0.0346%5 May →
anubis8–130.0525%26 Jan →
inferno9–130.0221%19 Jan →
inferno5–13-0.0132%8 Jan →
ancient13–60.0227%1 Jan →
nuke0–9-0.217%30 Dec →
inferno9–70.0921%30 Dec →
nuke6–90.0527%2 Dec →
inferno1–9-0.1427%2 Dec →
inferno8–80.1012%2 Dec →
mirage13–100.1027%25 Nov →
nuke8–80.1250%17 Nov →
overpass9–40.133%17 Nov →
inferno7–9-0.0623%17 Nov →
vertigo3–9-0.0522%10 Nov →
nuke9–50.0979%10 Nov →
inferno9–70.2529%10 Nov →
ancient10–130.0113%2 Nov →
dust215–15-0.0119%19 Oct →
mirage10–13-0.0918%5 Sept →
ancient7–130.0120%25 Aug →
ancient13–50.0326%17 Aug →
ancient11–130.0121%17 Aug →
dust213–80.0017%27 Jun →
inferno9–50.1524%31 May →
inferno9–60.0327%31 May →
train4–13-0.0710%10 Mar →
ancient13–80.0117%16 Feb →
inferno0–1-0.110%16 Feb →
ancient13–60.0438%16 Feb →
ancient11–13-0.0219%14 Feb →
nuke13–110.0024%13 Feb →
inferno9–13-0.0518%2 Feb →
inferno6–13-0.0422%27 Jan →
anubis13–70.0117%21 Jan →
anubis11–130.0313%17 Jan →
ancient13–10-0.0318%13 Jan →
inferno16–140.0129%12 Jan →
dust26–13-0.0430%20 Dec →
nuke13–70.0529%12 Dec →
ancient11–130.0227%30 Nov →
inferno9–130.0520%24 Nov →
anubis10–13-0.057%23 Nov →
train12–120.0221%14 Nov →
train13–80.1042%14 Nov →
train13–60.0420%14 Nov →
ancient10–130.0723%13 Nov →
ancient8–130.0322%7 Nov →
vertigo13–4-0.0346%5 Nov →
ancient5–13-0.04100%4 Nov →
inferno4–9-0.1915%4 Nov →
inferno9–60.2525%4 Nov →
vertigo13–90.0723%4 Nov →
mirage8–130.0822%4 Nov →
ancient8–130.0328%4 Nov →
mirage16–120.0722%4 Nov →
ancient19–160.0419%3 Nov →
ancient7–13-0.0825%1 Nov →
ancient13–11-0.0313%1 Nov →
anubis13–50.0522%31 Oct →
anubis6–13-0.0721%29 Oct →
mirage13–16-0.0220%18 Oct →
nuke9–130.0328%12 Oct →
anubis13–6-0.0219%11 Oct →
anubis7–13-0.0224%26 Sept →
inferno8–13-0.0520%22 Sept →
mirage13–100.0629%21 Aug →
anubis13–90.0329%21 Aug →
ancient11–130.0124%20 Aug →
ancient6–130.0638%14 Aug →
anubis11–130.0718%13 Aug →
ancient4–130.0429%13 Aug →
ancient13–80.1713%2 Aug →
nuke6–13-0.0214%2 Aug →
anubis11–130.1024%30 Jul →
ancient13–110.0223%25 Jul →
mirage6–130.0728%24 Jul →
ancient2–13-0.0718%23 Jul →
vertigo2–130.0129%23 Jul →
mirage3–13-0.167%23 Jul →
dust29–13-0.110%22 Jul →
ancient11–13-0.0418%16 Jul →
mirage13–100.0321%15 Jul →
dust213–60.1821%25 Jun →
ancient13–90.0425%25 Jun →
anubis13–100.1122%25 Jun →
ancient3–13-0.0319%19 Jun →
anubis13–80.0417%17 Jun →
mirage13–80.0617%17 Jun →
ancient10–130.0017%16 Jun →
ancient13–60.0212%16 Jun →
vertigo13–70.0720%16 Jun →
ancient13–60.1023%12 Jun →
anubis13–60.0632%12 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K 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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