mGx — CS2 Stats

76561198214612267[U:1:254346539]

1,076Tracked matches57%Win rate2020Tracked since
3,015Hours in CS14Hrs last 2 wks
CSDB Rating6.1 SolidPassive Rifler
Premier CS Rating23,224Top 50% of 29,473 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#10768 of 51666 tracked
FaceitLevel 8 · 1,234 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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 8 medianLevel 9 medianvs Level 9
Headshot rate38.8%47.0%48.5%9.7% short
Shot accuracy16.2%12.7%13.3%above
Kill/death ratio1.501.071.07above
Match win rate51.2%46.4%47.0%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGmGxFACEITLevel 8 · 1,234 ELOSTANDINGTop 31.2% of rankedPREMIER23,224 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning35
Utility60

0–100 skill scores via Leetify.

Recent form

HOT52453Last 10052%Win rateWWWWLWWWWW

Last 10 vs previous 10: +60pp win rate · +0.03 avg rating

Player DNA

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

Aim8.4
Aggression2.8
Utility6.0
Positioning3.5
Opening Duels0.0
Clutch5.4

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

NiKo

Plays most like NiKo 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; 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 49 points — deaths here waste a strong aim profile.

Reaction time. 554ms 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

Aim8.4
Positioning3.5
Utility6.0
Mechanics7.4
Opening Duels0.0
Win Impact7.2

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 time561ms−26ms
first ⅓ avg 587ms → last ⅓ avg 561ms
Headshot accuracy15.1%+2.6%
first ⅓ avg 12.5% → last ⅓ avg 15.1%

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

0.14Best rating — inferno 13–11
131Biggest win — cache
5Longest win streak
W4Current streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 64% over 22ancientWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
infernoA2214864%0.02
mirageA22121055%0.02
dust2A2011955%0.01
ancientC1881044%0.01
nukeB63350%0.04
cache41325%0.03
anubis43175%0.03
overpass4040%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 18). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

93,186Lifetime kills
1.50K/D · Top 10% of Level 8 players
3,669Matches
51.2%Match win rate · Top 25% of Level 8 players
38.8%Headshot %
16.2%Shot accuracy · Top 25% of Level 8 players
12,810MVPs
1,546Hours (in match)
2,629Bombs planted
1,212Bombs defused

Most-used weapons

AK-4723,667
AWP19,610
P2502,893
FAMAS1,715
Tec-91,571

Lifetime map wins

8,677inferno
8,113dust2
1,013nuke
740cbble
496vertigo
471lake
393train
157bank

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

Faceit stats

Combat

385Matches
52%Win rate
1.41Avg K/D
92.0ADR
31%Headshot %

Clutches & streaks

47%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2343%1.1315.8
Dust22152%1.2918.1
Inferno1573%1.3919.1
Ancient1338%1.2920.5
Nuke956%1.5518.3
Anubis757%1.0015.3
Overpass667%1.5718.7
Cache333%1.1518.3

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.

15.1%Headshot accuracy
40.5%Accuracy (enemy spotted)
44.0%Spray accuracy
83.1%Counter-strafing
9.0°Preaim
554msReaction time
28.8%T opening success
25.3%CT opening success
0.66Enemies flashed / flash
2.4%Flash assists
10.68HE damage / grenade
6.36Flashes / 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 28.8261% — 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.

44% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0118%30 Aug
inferno13–40.0318%30 Aug
cache13–10.0424%28 Aug
inferno13–60.0818%22 Aug
ancient8–13-0.0210%22 Aug
mirage13–80.0520%22 Aug
inferno13–110.0511%17 Aug
ancient13–100.0212%17 Aug
anubis13–70.0318%17 Aug
ancient13–30.0921%17 Aug
ancient6–13-0.0416%16 Aug
nuke13–30.056%16 Aug
ancient7–13-0.078%16 Aug
inferno13–70.0217%16 Aug
dust26–130.0512%15 Aug
ancient5–13-0.0714%15 Aug
cache8–130.0723%15 Aug
inferno13–1-0.0010%15 Aug
cache7–130.0314%16 Jul
inferno6–130.0215%16 Jul
cache7–130.0115%16 Jul
dust213–5-0.0215%15 Jul
dust213–3-0.0411%15 Jul
inferno13–8-0.0114%12 Jul
mirage0–13-0.0820%28 May
mirage4–13-0.055%10 May
inferno13–90.0820%4 May
mirage13–60.0415%4 May
mirage8–130.0513%3 May
inferno12–160.0016%3 May
dust213–110.0021%2 May
mirage4–13-0.0516%2 May
ancient8–13-0.089%2 May
inferno9–130.0313%2 May
mirage13–50.1022%2 May
ancient13–60.087%2 May
dust213–90.0012%29 Apr
nuke13–90.0615%29 Apr
dust211–130.0521%28 Apr
overpass4–13-0.029%28 Apr
mirage13–30.1119%28 Apr
ancient13–100.0513%26 Apr
ancient10–13-0.0613%26 Apr
anubis13–90.0822%24 Apr
ancient10–130.0210%24 Apr
mirage13–90.005%23 Apr
inferno11–13-0.0622%22 Apr
dust213–30.0214%22 Apr
nuke13–30.0822%22 Apr
dust213–7-0.0219%21 Apr
dust213–100.0518%21 Apr
mirage11–130.0514%14 Apr
ancient13–110.0112%14 Apr
mirage16–14-0.0211%14 Apr
overpass11–13-0.019%14 Apr
inferno10–13-0.036%13 Apr
dust213–80.0318%13 Apr
overpass4–130.0119%12 Apr
dust213–9-0.0210%12 Apr
dust24–13-0.0116%11 Apr
anubis4–130.0420%10 Apr
nuke2–130.039%10 Apr
inferno13–70.0113%10 Apr
dust213–50.1121%10 Apr
dust29–130.0114%10 Apr
inferno11–130.0315%10 Apr
mirage13–6-0.0316%10 Apr
inferno8–13-0.0120%7 Apr
mirage13–50.0710%7 Apr
mirage10–130.0519%7 Apr
mirage13–40.0812%7 Apr
ancient10–130.0517%6 Apr
mirage13–80.0213%6 Apr
dust215–150.049%6 Apr
mirage7–13-0.0115%6 Apr
inferno4–13-0.0411%5 Apr
ancient13–16-0.048%5 Apr
nuke7–130.0113%5 Apr
dust212–12-0.047%5 Apr
anubis13–10-0.0110%3 Apr
ancient13–60.099%3 Apr
overpass13–160.0211%1 Apr
mirage10–130.0316%1 Apr
dust210–130.0010%1 Apr
inferno13–20.0519%1 Apr
dust212–160.0316%31 Mar
inferno13–100.0015%31 Mar
mirage13–8-0.0012%31 Mar
dust215–15-0.0112%30 Mar
ancient8–13-0.019%29 Mar
inferno16–14-0.0211%29 Mar
nuke9–130.0117%23 Mar
ancient13–110.026%23 Mar
mirage11–13-0.0411%23 Mar
inferno9–6-0.0610%23 Mar
inferno13–110.1419%22 Mar
inferno13–70.0421%22 Mar
mirage11–13-0.0312%20 Mar
ancient13–80.049%19 Mar
mirage13–110.005%18 Mar

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 →