MANTASONE

MANTASONE — CS2 Stats

76561197966225885[U:1:5960157]Steam profile ↗✓ No bans

567Tracked matches50%Win rate2024Tracked since
CSDB Rating5.6 SolidAggressive Rifler
FaceitLevel 9 · 1,922 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMANTASONEFACEITLevel 9 · 1,922 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY43531Last 9744%Win rateLWWLLLWWLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression6.6
Utility5.7
Positioning5.5
Opening Duels2.4
Clutch3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

CSDB Rating breakdown

Aim7.6
Positioning5.5
Utility5.7
Mechanics6.3
Opening Duels2.4
Win Impact5.0

Composite 5.6/10 (Solid), 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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time538ms−39ms
first ⅓ avg 577ms → last ⅓ avg 538ms
Headshot accuracy18.2%+3.2%
first ⅓ avg 15.0% → last ⅓ avg 18.2%

Rolling 5-match average across the last 97 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.08Best rating — inferno 13–3
131Biggest win — inferno
4Longest win streak
914In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 53% over 19nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB1910953%0.00
ancientC1871139%-0.00
dust2B136746%-0.00
trainB115645%0.01
anubisC104640%0.00
mirageC94544%0.00
nukeC83538%-0.02
cacheC52340%-0.01
overpass42250%0.01

Across the last 97 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

906Matches
50%Win rate
1.14Avg K/D
82.6ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis17856%1.2418.5
Ancient16544%1.1417.4
Inferno16455%1.2216.8
Dust214445%1.0616.2
Nuke10149%1.0114.8
Mirage5941%0.9914.8
Train3861%1.1917.6
Overpass3551%1.0814.6

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.

18.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
39.1%Spray accuracy
78.3%Counter-strafing
9.2°Preaim
546msReaction time
41.8%T opening success
37.2%CT opening success
0.53Enemies flashed / flash
9.6%Flash assists
7.86HE damage / grenade
8.51Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.1876% — below the 40% mark we flag

Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–130.0417%18 Aug
inferno13–60.0326%13 Aug
cache13–80.0620%13 Aug
inferno10–13-0.0521%13 Aug
inferno4–13-0.1012%12 Aug
nuke14–16-0.0318%12 Aug
inferno13–30.0813%10 Aug
cache13–70.0214%6 Aug
dust214–16-0.0228%6 Aug
inferno13–70.0118%6 Aug
cache10–13-0.0415%5 Aug
dust213–50.0316%5 Aug
anubis13–110.0224%2 Aug
dust210–130.0122%2 Aug
ancient16–14-0.027%29 Jul
dust213–110.0112%1 Jul
cache7–13-0.0313%1 Jul
mirage5–13-0.0221%28 Jun
ancient13–40.0324%28 Jun
mirage13–80.0318%28 Jun
dust217–19-0.0120%27 Jun
ancient10–130.0026%26 Jun
mirage10–13-0.0212%26 Jun
dust210–13-0.0027%25 Jun
inferno16–140.0021%25 Jun
cache10–13-0.0314%29 May
mirage13–80.0113%27 May
mirage13–30.0614%27 May
inferno7–130.0118%19 May
inferno13–9-0.0122%21 Apr
ancient10–13-0.0322%10 Apr
dust28–13-0.0215%10 Apr
dust213–9-0.0117%2 Apr
mirage10–13-0.0122%31 Mar
anubis8–13-0.0012%31 Mar
anubis3–130.0216%9 Mar
ancient13–110.0219%19 Jan
ancient19–150.0018%16 Jan
nuke11–13-0.0424%14 Jan
ancient6–130.0214%12 Jan
train0–00.000%20 Dec
train16–140.0321%15 Dec
inferno11–13-0.0125%14 Dec
train16–12-0.0027%12 Dec
inferno14–160.019%8 Dec
ancient7–13-0.0319%8 Dec
inferno2–13-0.0640%6 Nov
inferno5–13-0.0524%6 Nov
ancient11–13-0.0713%7 Oct
inferno13–10.0828%7 Oct
dust213–4-0.0420%7 Oct
overpass10–13-0.0010%7 Oct
ancient13–100.0811%6 Oct
inferno11–13-0.0621%5 Oct
nuke4–13-0.048%5 Oct
inferno13–110.0818%1 Oct
ancient6–13-0.0110%1 Oct
ancient13–70.0216%30 Sept
train10–130.0117%29 Sept
inferno13–10-0.0317%29 Sept
train9–13-0.0013%29 Sept
overpass13–50.079%17 Sept
mirage14–16-0.0316%17 Sept
nuke13–40.0113%16 Sept
overpass13–9-0.0310%11 Sept
train6–13-0.0117%25 Aug
overpass7–130.0013%24 Aug
ancient9–130.0120%24 Aug
ancient8–130.0320%21 Aug
train5–130.0417%11 Aug
nuke13–80.0117%5 Aug
ancient13–80.0312%30 Jul
train13–40.0710%30 Jul
train13–80.0415%30 Jul
ancient10–130.0412%30 Jul
ancient3–13-0.0919%16 Jul
inferno13–110.0715%16 Jul
dust213–7-0.036%23 Jun
inferno13–100.0216%18 Jun
nuke7–13-0.0410%12 Jun
train13–70.0214%11 Jun
train11–13-0.046%9 Jun
anubis13–90.0413%4 Jun
nuke13–50.0420%4 Jun
mirage13–7-0.0415%3 Jun
anubis11–13-0.0327%16 May
anubis13–110.0220%11 May
nuke6–13-0.0722%8 Apr
ancient6–13-0.0410%8 Apr
anubis13–100.0412%26 Mar
inferno9–130.0314%15 Mar
anubis10–13-0.017%14 Mar
anubis6–13-0.0420%25 Feb
dust25–13-0.0515%16 Jan
dust214–160.027%8 Jan
dust213–90.0613%24 Nov
anubis11–13-0.0425%12 Nov

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 →