Mansq

Mansq — CS2 Stats

FI76561197979187374[U:1:18921646]Steam profile ↗✓ No bans

803Tracked matches37%Win rate2020Tracked since
CSDB Rating3.7 LearningSupport
Premier CS Rating14,881Blue band · top ~29% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 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.

Rating over time

Premier CS Rating: 14,881 +200 11 Feb – 2 Nov · 31 days played
14,31415,501peak 15,50111 Feb2 Nov
Faceit ELO: 989 +0 14 Sept – 15 Sept · 2 observations
989989peak 98914 Sept15 Sept
15,501Peak Premier in tracked matches
989Highest Faceit ELO seen on CSDB
53Days played since 2026-02-09

Faceit ELO

  • At peak — 989
  • Next: Level 5 at 1,051 — 62 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-14
  • Level 3 first seen 2026-09-14

Premier CS Rating

  • 620 below peak (15,501)
  • -118 over 30 days · steady
  • Next: Purple band at 15,000 — 119 to go
  • Reached: Purple band · Blue band · Light Blue band

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.

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CSDB.GGMansqPREMIER14,881 · Blue bandPEAK ELO989csdb.gg/stats

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Performance scores

Aim46
Positioning46
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY36–62–2Last 10036%Win rateLWLLWLWLWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · +0.3pp headshot accuracy · −4ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 545ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 559ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 561ms

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 (+1.8 against its own average).

Aim4.6
Utility5.5
Positioning4.6
Opening Duels1.8
Clutch2.8

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

Twistzz

Plays most like Twistzz 75% 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. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6
Positioning4.6
Utility5.5
Mechanics4.4
Opening Duels1.0
Win Impact0.6

Composite 3.7/10 (Learning), 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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time552ms−59ms
first ⅓ avg 611ms → last ⅓ avg 552ms
Headshot accuracy9.7%−0.0%
first ⅓ avg 9.7% → last ⅓ avg 9.7%

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

0.11Best match rating · 13–8 · inferno, 8 Sept →
23%Best headshot accuracy · 3–13 · nuke, 6 Oct →
375msFastest reaction time · 13–9 · dust2, 27 Oct →
13–2Biggest win · cache, 2 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageD247–1729%-0.04
dust2C197–1237%-0.03
ancientD153–1220%-0.01
cacheS128–467%-0.02
anubisD113–827%-0.04
nukeC94–544%-0.03
infernoC73–443%-0.01
overpass—31–233%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

178Matches
48%Win rate
0.71Avg K/D
65.5ADR
31%Headshot %

Clutches & streaks

34%1v1 clutch win
13%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3949%0.6911.2
Dust23540%0.7210.5
Ancient3050%0.7212.1
Anubis2931%0.6411.3
Inferno2264%0.8712.4
Overpass1090%0.6710.4
Nuke617%0.609.8
Vertigo450%0.9214.0

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.

9.6%Headshot accuracy
32.1%Accuracy (enemy spotted)
37.0%Spray accuracy
70.0%Counter-strafing
11.0°Preaim
562msReaction time
34.5%T opening success
33.2%CT opening success
0.57Enemies flashed / flash
10.6%Flash assists
9.11HE damage / grenade
5.66Flashes / 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 9.6342% — 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 34.4652% — 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.

20% 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
mirage7–13-0.0416%2 Nov →
cache13–20.059%2 Nov →
ancient9–13-0.036%28 Oct →
dust25–13-0.0413%28 Oct →
dust213–9-0.0113%27 Oct →
dust23–13-0.0517%27 Oct →
mirage13–9-0.025%26 Oct →
anubis11–130.0312%21 Oct →
cache16–13-0.0110%14 Oct →
inferno16–13-0.032%14 Oct →
mirage8–13-0.056%13 Oct →
mirage1–13-0.070%13 Oct →
mirage6–13-0.072%8 Oct →
nuke8–130.0217%8 Oct →
nuke3–13-0.0123%6 Oct →
cache13–40.0414%6 Oct →
cache13–80.016%5 Oct →
anubis3–13-0.083%30 Sept →
cache13–60.0114%30 Sept →
dust211–13-0.0614%29 Sept →
mirage13–4-0.0015%29 Sept →
dust29–13-0.0614%29 Sept →
mirage13–6-0.039%28 Sept →
ancient8–13-0.046%25 Sept →
ancient0–13-0.0514%25 Sept →
mirage13–100.039%23 Sept →
nuke8–13-0.0110%23 Sept →
cache13–16-0.056%22 Sept →
cache5–13-0.0512%15 Sept →
anubis10–13-0.043%15 Sept →
ancient10–130.0416%12 Sept →
ancient2–13-0.090%12 Sept →
cache13–6-0.005%9 Sept →
anubis10–130.0317%9 Sept →
inferno12–16-0.0615%9 Sept →
inferno13–80.1114%8 Sept →
cache4–13-0.049%8 Sept →
nuke9–13-0.113%8 Sept →
nuke13–5-0.0010%4 Sept →
inferno13–80.0112%4 Sept →
dust213–110.0314%31 Aug →
mirage8–13-0.0213%31 Aug →
ancient9–13-0.055%26 Aug →
mirage7–13-0.0410%24 Aug →
dust21–13-0.0612%24 Aug →
anubis13–30.056%17 Aug →
dust29–13-0.057%12 Aug →
cache11–13-0.049%12 Aug →
anubis13–10-0.018%19 Jul →
ancient13–40.0210%19 Jul →
anubis11–13-0.0910%28 Jun →
anubis6–13-0.0720%24 Jun →
dust25–13-0.0716%14 Jun →
anubis4–13-0.134%14 Jun →
ancient8–13-0.0514%1 Jun →
mirage5–9-0.017%1 Jun →
mirage13–3-0.0114%27 May →
dust26–13-0.0611%27 May →
mirage15–15-0.0312%20 May →
ancient13–20.0512%20 May →
mirage10–13-0.0413%20 May →
mirage5–13-0.072%17 May →
dust28–13-0.0014%17 May →
mirage13–40.0411%16 May →
cache13–11-0.0612%16 May →
mirage13–9-0.072%10 May →
nuke13–10-0.0411%8 May →
inferno3–13-0.073%8 May →
inferno7–13-0.059%6 May →
dust213–7-0.0317%6 May →
nuke13–6-0.0511%6 May →
mirage2–13-0.069%6 May →
cache13–3-0.1011%5 May →
mirage11–13-0.115%25 Apr →
inferno6–130.009%25 Apr →
dust27–13-0.055%25 Apr →
anubis13–5-0.093%25 Apr →
nuke13–10-0.073%25 Apr →
ancient10–13-0.0115%25 Apr →
overpass8–13-0.055%24 Apr →
mirage3–13-0.088%24 Apr →
mirage4–13-0.056%23 Apr →
ancient12–160.017%23 Apr →
mirage6–13-0.0315%22 Apr →
dust216–130.016%22 Apr →
ancient14–160.0210%21 Apr →
ancient13–110.007%6 Apr →
dust213–90.0112%30 Mar →
ancient8–13-0.0316%30 Mar →
overpass1–13-0.085%28 Mar →
anubis15–15-0.039%28 Mar →
dust27–13-0.058%2 Mar →
ancient6–13-0.0420%18 Feb →
mirage5–13-0.0621%16 Feb →
dust213–8-0.076%16 Feb →
overpass13–110.0012%11 Feb →
dust210–13-0.0221%11 Feb →
mirage2–13-0.0814%10 Feb →
nuke8–13-0.0111%10 Feb →
dust213–10-0.002%9 Feb →

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 →

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