MagicMott — CS2 Stats

76561199242986974[U:1:1282721246]✓ No bans

1,326Tracked matches50%Win rate2022Tracked since
1,215Hours in CS39Hrs last 2 wks
CSDB Rating6.3 SolidPassive Rifler
Premier CS Rating25,000Top 25% of 819 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#2653 of 17302 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=218), 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 medianvs Level 10
Headshot rate61.1%52.8%above
Shot accuracy6.7%13.7%7.0% short
Kill/death ratio1.251.08above
Match win rate44.6%49.2%4.6% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMagicMottFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,000 · Red bandcsdb.gg/stats

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Performance scores

Aim85
Positioning49
Utility63

0–100 skill scores via Leetify.

Recent form

COLD5644Last 10056%Win rateLLWLLLWLLW

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression3.4
Utility6.3
Positioning4.9
Opening Duels0.2
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

NiKo

Plays most like NiKo 90% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: 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

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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

Aim8.5
Positioning4.9
Utility6.3
Mechanics6.1
Opening Duels1.1
Win Impact5.0

Composite 6.3/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time572ms−6ms
first ⅓ avg 577ms → last ⅓ avg 572ms
Headshot accuracy23.2%+2.1%
first ⅓ avg 21.0% → last ⅓ avg 23.2%

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

0.21Best rating — cache 13–0
130Biggest win — ancient
11Longest win streak
L2Current streak
78In matches decided by ≤2 rounds
18Overtime games

Map breakdown

dust2Best map · 75% over 12anubisWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB33161748%0.00
ancientS1813572%0.01
dust2S129375%-0.01
anubisC125742%0.01
infernoA116555%-0.00
cacheB105550%0.03
train21150%0.01
nuke21150%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

41,119Lifetime kills
1.25K/D · Top 25% of tracked players
1,826Matches
44.6%Match win rate
61.1%Headshot % · Top 10% of tracked players
6.7%Shot accuracy
3,912MVPs
1,070Hours (in match)
2,186Bombs planted
609Bombs defused

Most-used weapons

Lifetime map wins

2,683dust2
2,034inferno
1,887nuke
319vertigo
122office
60train
33lake
17italy

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

Faceit stats

Combat

699Matches
50%Win rate
1.10Avg K/D
76.1ADR
57%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage23346%1.0415.4
Dust211554%1.0514.8
Ancient10459%1.1916.7
Inferno7653%1.1315.3
Anubis7043%1.0815.8
Cache4445%1.2719.4
Nuke4358%1.1817.1
Overpass1346%1.0516.7

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.

22.4%Headshot accuracy
38.8%Accuracy (enemy spotted)
42.4%Spray accuracy
77.4%Counter-strafing
8.7°Preaim
571msReaction time
22.8%T opening success
38.8%CT opening success
0.75Enemies flashed / flash
4.9%Flash assists
12.25HE damage / grenade
8.47Flashes / 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 22.8246% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0525%27 Aug
mirage12–160.0526%23 Aug
ancient13–11-0.0119%22 Aug
mirage10–130.0731%22 Aug
inferno16–19-0.0123%19 Aug
mirage3–11-0.0820%17 Aug
ancient13–00.1431%17 Aug
cache9–130.0631%17 Aug
mirage11–130.0415%17 Aug
mirage13–20.1029%16 Aug
mirage13–8-0.0230%16 Aug
anubis6–130.0138%16 Aug
cache13–80.0319%16 Aug
ancient13–100.0824%15 Aug
mirage16–130.0219%15 Aug
mirage8–13-0.0423%15 Aug
mirage13–7-0.0411%15 Aug
cache16–190.0118%14 Aug
ancient13–7-0.0112%14 Aug
mirage12–160.0328%12 Aug
ancient13–50.0733%10 Aug
mirage19–150.0827%10 Aug
ancient13–40.0319%9 Aug
anubis16–120.0217%9 Aug
mirage13–100.0027%9 Aug
anubis7–13-0.0720%9 Aug
cache5–130.0319%9 Aug
mirage5–13-0.0115%8 Aug
mirage5–13-0.0319%8 Aug
mirage13–100.0410%7 Aug
inferno13–10-0.0547%7 Aug
mirage6–13-0.0424%6 Aug
inferno13–90.0218%5 Aug
mirage13–8-0.0219%4 Aug
mirage5–13-0.1313%3 Aug
anubis5–130.0029%3 Aug
mirage13–8-0.0120%2 Aug
cache13–60.0527%2 Aug
inferno13–9-0.019%2 Aug
dust216–13-0.0112%1 Aug
inferno13–90.1326%1 Aug
train13–80.0426%1 Aug
cache13–00.2140%1 Aug
dust216–130.0226%1 Aug
anubis13–110.0013%30 Jul
dust213–30.0318%30 Jul
dust213–6-0.0321%30 Jul
mirage4–13-0.0520%28 Jul
nuke19–16-0.0019%28 Jul
ancient5–13-0.1012%25 Jul
ancient13–50.0220%25 Jul
ancient13–11-0.0033%25 Jul
anubis6–13-0.059%25 Jul
dust213–16-0.0529%25 Jul
dust211–13-0.0417%24 Jul
ancient16–120.0217%24 Jul
mirage4–130.016%22 Jul
mirage8–13-0.0223%22 Jul
cache11–13-0.0712%21 Jul
dust213–6-0.0219%21 Jul
mirage13–70.0113%21 Jul
anubis13–10.0413%21 Jul
inferno14–16-0.0517%21 Jul
anubis10–130.0519%20 Jul
dust213–9-0.0430%20 Jul
mirage13–100.0321%19 Jul
ancient9–130.0233%19 Jul
ancient9–13-0.0330%19 Jul
anubis11–13-0.0017%19 Jul
ancient16–13-0.0118%19 Jul
anubis13–60.0017%18 Jul
mirage13–40.1025%18 Jul
mirage10–13-0.047%18 Jul
inferno5–13-0.0529%18 Jul
train4–13-0.0321%18 Jul
inferno3–13-0.038%18 Jul
mirage13–100.0133%18 Jul
ancient13–40.0821%17 Jul
mirage13–00.000%17 Jul
cache22–200.0121%16 Jul
dust213–60.0538%13 Jul
ancient16–14-0.0511%12 Jul
cache6–13-0.0318%12 Jul
inferno19–150.0125%12 Jul
cache13–110.0430%12 Jul
mirage9–13-0.0330%12 Jul
anubis13–90.0716%12 Jul
mirage9–13-0.0412%11 Jul
mirage9–130.0123%11 Jul
ancient14–16-0.0616%11 Jul
ancient11–13-0.0222%11 Jul
mirage13–110.0227%9 Jul
inferno13–30.0626%9 Jul
anubis4–90.0315%9 Jul
mirage13–10.1032%9 Jul
ancient13–90.0433%9 Jul
dust213–80.0120%8 Jul
inferno0–2-0.060%8 Jul
dust213–100.0020%8 Jul
nuke9–130.0135%8 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →