mant¡ ツ

mant¡ ツ — CS2 Stats

76561197987468933[U:1:27203205]Steam profile ↗✓ No bans

1,539Tracked matches27%Win rate2020Tracked since
CSDB Rating2.9 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,539
0.0ppWin rate · 26.9% → 26.9%
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. 54 days played since 9 Jan 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: 7,848 +413 9 Jan16 Jan · 4 days played
7,1207,848peak 7,8489 Jan16 Jan
8,040Peak Premier in tracked matches
54Days played since 2026-01-09

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

Share this profile

CSDB.GGmant¡ ツFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.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

Aim40
Positioning31
Utility40

0–100 skill scores via Leetify.

Recent form

COLD35578Last 10035%Win rateWLLWTLLLTL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −2.9pp headshot accuracy · −39ms 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

  • 221 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 700ms

Last 10

  • 262 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 644ms

Last 20

  • 3134 · 15% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 663ms

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: SupportUtility contribution stands above the rest of this profile (+1.6 against its own average).

Aim4.0
Utility4.0
Positioning3.1
Opening Duels0.0

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

Twistzz

Plays most like Twistzz 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim4.0
Positioning3.1
Utility4.0
Mechanics3.5
Opening Duels0.0
Win Impact0.0

Composite 2.9/10 (Learning), 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 rating-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time718ms−18ms
first ⅓ avg 736ms → last ⅓ avg 718ms
Headshot accuracy16.0%+0.5%
first ⅓ avg 15.5% → last ⅓ avg 16.0%

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

0.08Best match rating · 13–4 · mirage, 29 Jan
38%Best headshot accuracy · 4–12 · dust2, 9 Aug
438msFastest reaction time · 8–13 · anubis, 25 Aug
13–1Biggest win · cache, 6 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
911In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 56% over 9anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageD2891932%-0.03
dust2D2361726%-0.02
infernoD1541127%-0.03
cacheB136746%-0.02
nukeA95456%-0.03
anubisD51420%-0.06
ancient42250%0.01
overpass21150%-0.02
vertigo110100%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

180Matches
48%Win rate
0.78Avg K/D
ADR
38%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient367%0.769.0
Anubis10%1.0017.0
Vertigo1100%2.1713.0
Inferno1100%1.148.0
Overpass10%0.368.0
Mirage10%1.0017.0

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.

16.0%Headshot accuracy
31.2%Accuracy (enemy spotted)
28.5%Spray accuracy
65.8%Counter-strafing
8.3°Preaim
684msReaction time
23.0%T opening success
25.6%CT opening success
0.60Enemies flashed / flash
5.1%Flash assists
7.94HE damage / grenade
4.18Flashes / 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 23.0178% — below the 40% mark we flag

Spend your practice time on Anubis

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0720%18 Sept
anubis9–13-0.0718%15 Sept
inferno5–9-0.0529%8 Sept
cache13–9-0.0712%6 Sept
mirage12–12-0.009%6 Sept
dust25–13-0.067%6 Sept
inferno7–13-0.058%6 Sept
mirage4–13-0.0615%5 Sept
dust212–12-0.0318%5 Sept
inferno11–13-0.0620%5 Sept
ancient6–13-0.0517%5 Sept
nuke4–7-0.038%25 Aug
dust29–13-0.0611%25 Aug
anubis0–4-0.0914%25 Aug
anubis8–13-0.0225%25 Aug
mirage12–12-0.0317%11 Aug
dust24–12-0.0338%9 Aug
mirage11–130.0623%6 Aug
anubis12–12-0.0519%26 Jul
inferno13–7-0.0713%26 Jul
cache13–5-0.0120%26 Jul
dust213–30.0510%26 Jul
mirage1–10-0.0824%26 Jul
nuke8–13-0.065%23 Jul
mirage13–7-0.0318%23 Jul
dust29–13-0.0314%23 Jul
cache11–130.0413%23 Jul
dust27–130.0324%22 Jul
cache13–40.0112%22 Jul
mirage1–10-0.140%22 Jul
cache10–13-0.0719%20 Jul
nuke13–90.0110%19 Jul
cache11–130.0118%10 Jul
mirage8–13-0.0121%7 Jul
dust24–13-0.0315%7 Jul
ancient13–70.0114%6 Jul
cache13–10.0330%6 Jul
inferno0–6-0.0410%6 Jul
mirage13–11-0.0614%3 Jul
cache10–13-0.013%3 Jul
anubis13–8-0.056%3 Jul
dust212–12-0.0210%3 Jul
mirage13–5-0.0719%9 Jun
dust211–130.0221%9 Jun
cache13–11-0.0220%9 Jun
cache4–13-0.0312%9 Jun
cache13–3-0.0411%9 Jun
mirage7–130.029%15 May
dust211–130.0116%12 May
dust27–13-0.0610%8 May
dust213–10-0.0219%5 May
cache2–9-0.0317%5 May
cache5–13-0.0917%1 May
dust211–13-0.089%21 Apr
mirage4–13-0.033%21 Apr
dust212–12-0.0316%20 Apr
dust28–13-0.0614%19 Apr
mirage0–13-0.0715%17 Apr
inferno7–13-0.0221%10 Apr
mirage1–13-0.160%9 Apr
mirage5–13-0.1110%3 Apr
inferno12–12-0.0014%2 Apr
mirage13–5-0.070%2 Apr
mirage11–13-0.0610%1 Apr
vertigo13–80.0112%1 Apr
inferno7–130.0115%31 Mar
dust213–30.0720%31 Mar
dust213–100.0716%30 Mar
nuke13–110.0116%30 Mar
inferno8–13-0.0913%29 Mar
overpass7–130.0125%29 Mar
mirage3–13-0.0616%26 Mar
ancient12–120.0618%22 Mar
mirage13–60.0311%6 Feb
inferno4–13-0.100%6 Feb
nuke13–11-0.0410%6 Feb
inferno11–13-0.0615%5 Feb
inferno13–10-0.0018%5 Feb
mirage1–13-0.079%3 Feb
mirage10–13-0.0325%2 Feb
nuke11–3-0.0825%1 Feb
dust29–130.0220%1 Feb
nuke11–13-0.047%31 Jan
dust25–13-0.029%30 Jan
mirage13–160.0514%30 Jan
mirage13–40.089%29 Jan
mirage13–60.0617%23 Jan
inferno13–11-0.0025%18 Jan
overpass13–7-0.0619%18 Jan
mirage13–110.0214%18 Jan
dust210–13-0.0715%16 Jan
ancient16–140.0213%16 Jan
inferno13–60.0613%16 Jan
mirage13–110.0114%15 Jan
mirage11–13-0.0315%13 Jan
nuke13–8-0.0412%11 Jan
mirage8–130.0611%11 Jan
nuke8–13-0.0114%10 Jan
dust213–80.0032%10 Jan
inferno9–13-0.0120%9 Jan

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 →