mantispose

mantispose — CS2 Stats

CX76561199223805810[U:1:1263540082]Steam profile ↗✓ No bans

3,113Tracked matches60%Win rate2022Tracked since
CSDB Rating7.5 StrongAggressive Rifler
FaceitLevel 10 · 3,035 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGmantisposeFACEITLevel 10 · 3,035 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim86
Positioning63
Utility68

0–100 skill scores via Leetify.

Recent form

HOT54451Last 10054%Win rateLWWLWWLWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim8.6
Aggression7.8
Utility6.8
Positioning6.3
Opening Duels3.9
Clutch3.8

Sharp aimerStrong 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.

Your pro match

b1t

Plays most like b1t 95% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 557ms 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

Aim8.6
Positioning6.3
Utility6.8
Mechanics7.0
Opening Duels3.9
Win Impact8.3

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time555ms+38ms
first ⅓ avg 517ms → last ⅓ avg 555ms
Headshot accuracy24.4%+1.2%
first ⅓ avg 23.2% → last ⅓ avg 24.4%

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.

Highlights

0.17Best rating — dust2 13–8
131Biggest win — mirage
6Longest win streak
108In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 63% over 16anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA29171259%0.03
ancientA2011955%0.01
dust2A1610663%0.03
infernoA148657%0.01
nukeB105550%0.04
anubisD61517%-0.03
train220100%0.12
overpass2020%-0.02
poseidon1010%-0.18

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,939Matches
50%Win rate
1.31Avg K/D
84.8ADR
53%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage72449%1.2116.8
Ancient48852%1.3017.2
Dust223449%1.0915.2
Inferno22151%1.3418.3
Anubis20941%1.1816.4
Nuke17250%1.2417.7
Vertigo13553%1.5521.2
Overpass2748%1.1617.2

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.

24.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
39.3%Spray accuracy
81.3%Counter-strafing
8.4°Preaim
557msReaction time
34.5%T opening success
56.6%CT opening success
0.74Enemies flashed / flash
10.8%Flash assists
8.19HE damage / grenade
13.77Flashes / 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 34.538% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0326%24 Aug
inferno13–110.0920%10 Aug
mirage13–110.0021%9 Aug
inferno7–9-0.0421%5 Aug
mirage13–100.0822%5 Aug
mirage13–110.0326%4 Aug
ancient6–13-0.0221%27 Jul
anubis13–100.0616%22 Jul
ancient13–10-0.0831%21 Jul
ancient13–50.1521%20 Jul
mirage3–13-0.0032%20 Jul
dust213–60.1515%17 Jul
inferno13–50.0630%17 Jul
ancient13–90.0623%15 Jul
mirage13–10.1253%14 Jul
mirage4–13-0.0313%13 Jul
dust213–40.0533%9 Jul
mirage14–160.0817%9 Jul
nuke13–11-0.0132%2 Jul
nuke10–13-0.0333%30 Jun
ancient7–13-0.0534%28 Jun
inferno13–110.0933%20 Jun
mirage13–60.0417%11 Jun
ancient19–15-0.0421%10 Jun
mirage9–13-0.0315%10 Jun
dust220–220.0420%6 Jun
dust28–13-0.0526%5 Jun
mirage2–13-0.0321%31 May
ancient11–130.0126%30 May
dust213–4-0.0231%29 May
dust213–90.0227%29 May
ancient13–11-0.034%29 May
inferno2–13-0.0526%27 May
mirage13–5-0.0116%17 May
ancient13–5-0.0129%7 May
ancient13–100.1222%6 May
dust28–13-0.0024%6 May
ancient4–13-0.0135%6 May
dust216–130.0714%5 May
ancient7–13-0.0220%5 May
nuke9–130.0012%5 May
mirage13–100.0519%4 May
dust213–80.1730%4 May
inferno13–30.0118%26 Apr
dust23–3-0.0317%26 Apr
inferno13–100.0231%26 Apr
mirage10–130.0524%26 Apr
inferno13–50.0225%26 Apr
mirage3–13-0.0326%25 Apr
mirage13–50.0336%24 Apr
mirage13–70.1322%24 Apr
train13–60.1231%24 Apr
train13–10.1233%24 Apr
dust213–10-0.0024%20 Apr
inferno13–5-0.0213%20 Apr
anubis7–13-0.0421%20 Apr
mirage13–90.0718%16 Apr
ancient6–13-0.0632%8 Apr
mirage5–130.0030%4 Apr
mirage13–90.0025%3 Apr
ancient19–160.0122%28 Mar
nuke13–80.0711%26 Mar
nuke13–80.0721%26 Mar
ancient2–13-0.1333%26 Mar
mirage0–13-0.0147%26 Mar
dust213–60.0832%25 Mar
anubis8–13-0.0412%22 Mar
ancient13–60.0121%12 Mar
poseidon1–9-0.1811%12 Mar
inferno11–13-0.0021%12 Mar
nuke13–100.0325%10 Mar
nuke9–130.0522%10 Mar
mirage13–80.0622%9 Mar
nuke13–160.0818%8 Mar
mirage16–14-0.0812%7 Mar
mirage13–60.0720%6 Mar
dust211–130.0119%6 Mar
overpass8–80.0216%3 Mar
anubis11–13-0.0614%3 Mar
overpass3–9-0.057%3 Mar
mirage5–130.0527%3 Mar
ancient13–30.1419%2 Mar
mirage3–10.1388%2 Mar
ancient13–11-0.0225%28 Feb
nuke16–190.0715%28 Feb
anubis14–16-0.0022%27 Feb
dust21–13-0.0713%27 Feb
dust213–100.0325%27 Feb
mirage6–13-0.0121%27 Feb
inferno6–90.0131%26 Feb
dust22–130.0429%23 Feb
mirage13–30.1123%20 Feb
inferno13–60.0631%19 Feb
mirage13–3-0.0234%19 Feb
nuke13–90.0425%19 Feb
inferno8–13-0.0126%19 Feb
anubis4–13-0.1011%16 Feb
ancient7–130.0429%13 Feb
inferno4–9-0.0525%13 Feb
ancient10–130.0419%13 Feb

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
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