㊰ M1kam1 — CS2 Stats

76561199570208775[U:1:1609943047]

1,007Tracked matches43%Win rate2024Tracked since
1,761Hours in CS2Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
WingmanLegendary Eagle
Ladder ranks via Leetify

Performance scores

Aim77
Positioning46
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateLWLWLLLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim7.7
Aggression5.6
Utility4.4
Positioning4.6
Opening Duels2.3
Clutch4.0

Excellent counter-strafing

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 87% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower aim profile; lower utility contribution.

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 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 644ms 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

Aim7.7
Positioning4.6
Utility4.4
Mechanics8.5
Opening Duels2.3
Win Impact2.8

Composite 5.4/10 (Developing), 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 rating-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time671ms+30ms
first ⅓ avg 640ms → last ⅓ avg 671ms
Headshot accuracy25.1%+4.0%
first ⅓ avg 21.1% → last ⅓ avg 25.1%

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

0.19Best rating — vertigo 9–4
131Biggest win — mirage
4Longest win streak
56In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 67% over 6infernoWeakest map · 29% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD2161529%0.01
mirageB1991047%-0.00
dust2C167944%0.04
nukeC1661038%-0.04
ancientA85363%0.00
anubisS64267%0.02
cache42250%0.04
vertigo43175%0.06
overpass31233%-0.04
poseidon1010%-0.21
debris1010%0.12
train1010%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,651Lifetime kills
0.94K/D
2,630Matches
46.3%Match win rate · Top 50% of tracked players
45.8%Headshot % · Top 50% of tracked players
0.0%Shot accuracy
9,755MVPs
3,510Hours (in match)
1,620Bombs planted
1,587Bombs defused

Most-used weapons

AK-4723,973
AWP4,446
MP91,647
MAC-101,507
Knife594

Lifetime map wins

3,804inferno
3,740vertigo
2,916dust2
1,832nuke
358train
12office
5italy
2ar_baggage

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

Faceit stats

Combat

460Matches
52%Win rate
1.07Avg K/D
80.7ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage15149%1.0915.6
Dust29651%1.0314.9
Ancient6244%0.9315.3
Inferno5544%0.9514.8
Nuke3272%1.2517.0
Anubis3067%1.2117.3
Train1567%1.2719.0
Vertigo1050%1.1316.6

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.

23.1%Headshot accuracy
35.0%Accuracy (enemy spotted)
36.8%Spray accuracy
88.3%Counter-strafing
9.6°Preaim
644msReaction time
34.5%T opening success
43.9%CT opening success
0.65Enemies flashed / flash
5.8%Flash assists
6.15HE damage / grenade
5.94Flashes / 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 34.4702% — below the 40% mark we flag

Spend your practice time on Inferno

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

29% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0821%15 Aug
mirage13–11-0.0015%9 Aug
dust27–130.0337%7 Aug
mirage10–0-0.0319%7 Aug
ancient7–13-0.0036%6 Aug
dust29–130.0322%6 Aug
cache11–13-0.0223%1 Aug
dust213–90.0629%1 Aug
nuke16–14-0.0229%31 Jul
nuke13–80.0218%30 Jul
inferno2–13-0.0919%29 Jul
inferno10–13-0.0215%29 Jul
ancient13–70.0123%27 Jul
dust213–70.0214%27 Jul
anubis7–13-0.0323%26 Jul
cache6–13-0.0125%14 Jul
poseidon0–9-0.2131%12 Jul
debris5–90.1222%12 Jul
inferno5–90.0632%1 Jul
inferno9–40.0756%1 Jul
inferno0–9-0.250%27 Jun
nuke0–9-0.2131%25 Jun
inferno13–60.0826%22 Jun
nuke3–9-0.1627%21 Jun
nuke8–80.1227%21 Jun
inferno9–3-0.0321%21 Jun
dust212–16-0.0019%21 Jun
nuke10–130.0121%16 Jun
inferno6–90.0344%16 Jun
inferno9–60.0927%16 Jun
nuke13–9-0.0317%14 Jun
nuke4–9-0.0733%11 Jun
nuke7–9-0.0426%11 Jun
inferno9–30.1429%11 Jun
vertigo9–40.1937%11 Jun
inferno11–13-0.0521%9 Jun
ancient8–13-0.0416%6 Jun
mirage6–13-0.1021%5 Jun
anubis13–30.1043%5 Jun
mirage6–13-0.0525%5 Jun
mirage8–130.0427%5 Jun
inferno6–90.0521%5 Jun
dust213–110.1118%5 Jun
cache13–80.1032%14 May
overpass16–14-0.0123%14 May
dust210–130.0420%9 May
cache13–70.0714%3 May
nuke9–13-0.035%23 Apr
nuke9–13-0.0122%20 Apr
inferno13–90.0719%19 Apr
dust213–60.0425%19 Apr
inferno7–130.0223%8 Apr
dust212–16-0.0919%2 Apr
dust213–90.0530%23 Mar
mirage13–80.0425%23 Mar
mirage8–13-0.0017%13 Mar
dust29–130.1430%9 Mar
inferno7–100.029%9 Mar
inferno4–90.0422%8 Mar
dust26–13-0.0525%7 Mar
mirage13–10.0350%16 Feb
anubis13–40.0616%10 Feb
anubis4–130.0231%10 Feb
ancient13–90.0418%10 Feb
mirage13–6-0.0029%9 Feb
ancient13–70.0412%9 Feb
anubis13–110.0020%9 Feb
mirage5–130.0316%9 Feb
inferno4–9-0.0656%31 Jan
inferno8–8-0.0630%31 Jan
mirage11–13-0.0318%23 Jan
anubis13–6-0.0419%16 Jan
mirage13–5-0.0418%15 Jan
overpass15–15-0.0718%14 Jan
nuke2–9-0.250%9 Jan
vertigo9–50.1039%9 Jan
inferno6–9-0.0425%9 Jan
inferno5–9-0.0524%9 Jan
vertigo8–80.0219%9 Jan
inferno8–80.1734%9 Jan
mirage13–70.0213%8 Jan
ancient13–10-0.0517%5 Jan
mirage7–13-0.0113%5 Jan
train7–13-0.0122%5 Jan
overpass9–13-0.0217%4 Jan
dust213–50.0613%4 Jan
mirage13–9-0.0013%4 Jan
mirage3–13-0.0115%4 Jan
nuke13–9-0.0318%4 Jan
ancient11–130.0624%3 Jan
dust213–16-0.0224%3 Jan
mirage13–100.0720%2 Jan
mirage14–160.0818%2 Jan
dust213–80.1121%2 Jan
nuke13–40.1023%2 Jan
ancient13–7-0.038%2 Jan
nuke13–80.0523%2 Jan
nuke3–13-0.0543%1 Jan
vertigo13–7-0.0513%1 Jan
dust27–130.0424%31 Dec

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 →