Mapex

Mapex — CS2 Stats

DK76561197986960139[U:1:26694411]Steam profile ↗✓ No bans

576Tracked matches57%Win rate2020Tracked since
CSDB Rating5.4 Developing
Premier CS Rating25,513Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#3458 of 32388 tracked
Ladder ranks via Leetify

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CSDB.GGMapexPREMIER25,513 · Red bandcsdb.gg/stats

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Performance scores

Aim56
Positioning45
Utility61

0–100 skill scores via Leetify.

Recent form

HOT54415Last 10054%Win rateWWWTLWLWWW

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

Player DNA

Aim5.6
Aggression2.9
Utility6.1
Positioning4.5
Opening Duels0.0

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, positioning profile.

Where you differ: lower opening-duel success; lower aim 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

Areas to improve

T-side openings. Opening success drops from 38% on CT to 11% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim5.6
Positioning4.5
Utility6.1
Mechanics5.5
Opening Duels1.0
Win Impact7.4

Composite 5.4/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time594ms+20ms
first ⅓ avg 574ms → last ⅓ avg 594ms
Headshot accuracy16.4%+0.6%
first ⅓ avg 15.8% → last ⅓ avg 16.4%

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

0.16Best rating — cache 13–7
130Biggest win — dust2
5Longest win streak
W3Current streak
55In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 67% over 21ancientWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S2114767%-0.00
mirageB21111052%0.00
infernoB1910953%0.02
ancientC167944%-0.01
anubisB137654%0.01
nuke41325%-0.01
overpass32167%-0.02
cache32167%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.4%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.2%Spray accuracy
74.5%Counter-strafing
10.4°Preaim
601msReaction time
10.6%T opening success
38.2%CT opening success
0.67Enemies flashed / flash
7.8%Flash assists
9.28HE damage / grenade
9.65Flashes / 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 10.6434% — 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 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–100.0423%7 Jun
dust213–0-0.020%7 Jun
mirage13–8-0.059%7 Jun
ancient15–15-0.0613%7 Jun
dust28–130.0117%7 Jun
ancient13–5-0.0326%7 Jun
inferno11–130.0728%29 May
dust213–10-0.0114%28 May
dust213–9-0.0726%28 May
dust213–40.0221%28 May
anubis13–10.0312%28 May
mirage6–130.0418%28 May
dust25–13-0.0513%28 May
mirage0–13-0.0237%28 May
overpass13–10-0.0113%27 May
dust213–70.0512%26 May
inferno13–10.0117%26 May
ancient13–11-0.0110%26 May
ancient13–70.0313%26 May
mirage15–150.036%25 May
anubis13–100.0217%25 May
inferno13–30.0917%25 May
ancient4–13-0.1121%24 May
inferno13–60.1015%24 May
inferno2–13-0.1020%24 May
mirage8–13-0.025%24 May
inferno9–13-0.0126%22 May
inferno10–13-0.0116%21 May
nuke10–13-0.0213%21 May
nuke7–13-0.0122%21 May
anubis13–100.0415%21 May
mirage13–30.0315%21 May
inferno6–13-0.0511%21 May
ancient8–130.0324%21 May
overpass13–4-0.0512%20 May
mirage13–70.0310%20 May
dust213–30.0423%20 May
mirage8–13-0.067%20 May
inferno10–130.0521%19 May
inferno13–90.0510%19 May
anubis13–100.0513%19 May
anubis13–80.0322%19 May
dust213–9-0.0316%19 May
inferno10–13-0.0114%17 May
inferno7–13-0.048%17 May
mirage3–13-0.0511%17 May
anubis11–13-0.0212%17 May
mirage13–8-0.0115%17 May
inferno13–9-0.0314%17 May
nuke9–13-0.0324%16 May
inferno16–14-0.0412%16 May
mirage13–10.0319%16 May
ancient13–10.1515%16 May
ancient13–60.1125%16 May
ancient8–13-0.0612%16 May
dust213–100.0121%16 May
ancient8–13-0.0211%15 May
mirage10–13-0.0318%14 May
nuke13–50.0021%14 May
anubis5–13-0.068%14 May
dust216–13-0.0216%14 May
mirage13–90.0718%14 May
mirage6–130.0415%14 May
dust215–150.0524%14 May
inferno9–130.1013%13 May
dust27–13-0.0210%13 May
anubis12–12-0.0210%13 May
anubis13–60.1013%13 May
dust215–15-0.0118%12 May
dust213–90.0213%11 May
ancient13–9-0.0222%11 May
mirage13–100.0518%11 May
anubis8–13-0.0111%11 May
anubis7–13-0.068%11 May
dust216–14-0.0516%10 May
dust213–9-0.0411%10 May
mirage13–100.0314%10 May
anubis9–13-0.0217%10 May
ancient13–10-0.048%10 May
anubis13–100.049%10 May
mirage13–70.0420%10 May
dust213–50.0731%10 May
dust211–130.0417%9 May
mirage13–90.017%9 May
overpass1–4-0.019%9 May
mirage4–70.0338%9 May
cache13–100.0318%7 May
cache13–70.1618%7 May
cache7–130.0427%7 May
inferno13–100.0813%3 May
dust213–9-0.0211%3 May
mirage13–11-0.0411%3 May
inferno13–11-0.0211%3 May
dust211–130.0121%3 May
ancient0–13-0.0813%3 May
mirage14–16-0.0614%3 May
inferno13–50.0715%3 May
ancient6–13-0.0811%30 Apr
ancient3–13-0.0115%30 Apr
ancient3–13-0.0225%30 Apr

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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