Mae

Mae — CS2 Stats

76561198443740087[U:1:483474359]Steam profile ↗✓ No bans

277Tracked matches64%Win rate2026Tracked since
275Hours in CS
CSDB Rating6.7 SolidPositional Player
Ladder ranks via Leetify

Performance scores

Aim62
Positioning73
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY67–29–4Last 10067%Win rateTLLLWLWWWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · −16ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 13%
  • Avg reaction 650ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 597ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 605ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.2
Utility4.7
Positioning7.3
Opening Duels5.7

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 603ms 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

Aim6.2
Positioning7.3
Utility4.7
Mechanics7.4
Opening Duels5.4
Win Impact9.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time604ms−42ms
first ⅓ avg 646ms → last ⅓ avg 604ms
Headshot accuracy14.0%−1.1%
first ⅓ avg 15.1% → last ⅓ avg 14.0%

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.

Personal bests

0.20Best match rating · 13–2 · vertigo, 19 Jul →
30%Best headshot accuracy · 4–13 · overpass, 8 Jul →
430msFastest reaction time · 7–2 · office, 26 Jul →
13–0Biggest win · inferno, 31 Jul →

Across the last 100 tracked matches.

Highlights

9Longest win streak
5–3In matches decided by ≤2 rounds

Map breakdown

officeBest map · 90% over 10mirageWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeS1915–479%0.01
dust2A1810–856%0.01
overpassS1714–382%0.04
mirageC104–640%0.03
officeS109–190%0.00
infernoA95–456%-0.01
vertigoC73–443%0.02
train—43–175%-0.01
cache—11–0100%0.06
italy—11–0100%-0.07
boulder—11–0100%0.06
shelter—10–10%-0.06
fachwerk—10–10%0.06
ancient—11–0100%0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,427Lifetime kills
1.54K/D · Top 5% of tracked players
801Matches
56.2%Match win rate · Top 5% of tracked players
47.9%Headshot % · Top 50% of tracked players
0.6%Shot accuracy
1,714MVPs
275Hours (in match)
492Bombs planted
174Bombs defused

Most-used weapons

Lifetime map wins

1,793dust2
1,047nuke
793office
484inferno
158vertigo
70train
23italy
18cbble

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

Skill profile

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

14.2%Headshot accuracy
33.0%Accuracy (enemy spotted)
35.2%Spray accuracy
83.3%Counter-strafing
9.8°Preaim
603msReaction time
45.0%T opening success
58.1%CT opening success
0.64Enemies flashed / flash
8.5%Flash assists
5.79HE damage / grenade
7.07Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.2487% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust212–120.1226%23 Sept →
train0–13-0.045%5 Aug →
dust29–130.0010%5 Aug →
vertigo2–13-0.0213%5 Aug →
overpass13–90.0612%5 Aug →
dust29–13-0.0518%4 Aug →
nuke13–70.0114%4 Aug →
overpass13–9-0.0216%4 Aug →
train13–7-0.0117%31 Jul →
vertigo13–8-0.0010%31 Jul →
nuke13–6-0.0319%31 Jul →
inferno13–00.084%31 Jul →
vertigo10–13-0.0511%30 Jul →
dust213–50.0713%30 Jul →
overpass12–12-0.005%28 Jul →
mirage5–130.0819%28 Jul →
office13–90.0015%28 Jul →
inferno4–13-0.126%28 Jul →
office13–70.0114%28 Jul →
dust24–13-0.0820%28 Jul →
vertigo13–40.0615%27 Jul →
nuke6–130.0114%27 Jul →
train13–80.068%27 Jul →
mirage13–20.1411%27 Jul →
dust213–40.0818%27 Jul →
office13–00.0019%27 Jul →
inferno13–100.0519%27 Jul →
office7–2-0.1015%26 Jul →
mirage8–13-0.0320%26 Jul →
overpass13–30.1115%26 Jul →
dust213–90.1013%26 Jul →
nuke13–5-0.0718%25 Jul →
inferno11–13-0.0210%25 Jul →
dust27–130.027%22 Jul →
dust25–13-0.0525%22 Jul →
mirage13–10.1624%22 Jul →
overpass13–90.0918%22 Jul →
overpass13–30.0112%20 Jul →
office4–11-0.0215%20 Jul →
nuke4–130.0311%20 Jul →
inferno3–13-0.0713%20 Jul →
office13–6-0.0119%20 Jul →
vertigo13–20.2025%19 Jul →
nuke13–30.0418%19 Jul →
overpass13–6-0.0117%19 Jul →
overpass13–30.1017%18 Jul →
cache13–80.0619%18 Jul →
office13–110.0517%18 Jul →
dust213–110.0514%18 Jul →
mirage7–80.0018%17 Jul →
office13–40.0026%17 Jul →
nuke13–10-0.0218%17 Jul →
inferno13–30.029%16 Jul →
overpass13–20.0811%16 Jul →
nuke13–40.128%16 Jul →
nuke13–100.0916%16 Jul →
nuke13–10.0721%16 Jul →
dust29–130.0022%16 Jul →
mirage2–13-0.124%15 Jul →
inferno4–13-0.0614%15 Jul →
overpass13–30.0413%15 Jul →
nuke13–10.1222%15 Jul →
dust213–40.0121%15 Jul →
dust213–8-0.0015%14 Jul →
vertigo9–130.0311%14 Jul →
nuke13–9-0.0117%14 Jul →
nuke13–90.0223%14 Jul →
overpass13–20.109%14 Jul →
office13–5-0.0318%14 Jul →
dust213–110.0716%13 Jul →
inferno13–100.0312%13 Jul →
nuke13–9-0.0714%13 Jul →
train13–5-0.038%13 Jul →
italy13–3-0.077%13 Jul →
mirage7–13-0.0313%13 Jul →
overpass13–100.0315%13 Jul →
dust213–7-0.0113%13 Jul →
office13–40.104%12 Jul →
overpass13–30.1220%12 Jul →
mirage13–60.0616%12 Jul →
overpass13–70.1121%11 Jul →
dust213–20.0214%11 Jul →
dust213–5-0.0311%11 Jul →
boulder11–20.0618%10 Jul →
shelter6–13-0.0613%10 Jul →
nuke13–10-0.0328%10 Jul →
mirage13–60.027%10 Jul →
fachwerk12–120.0620%10 Jul →
nuke13–3-0.014%9 Jul →
inferno13–30.0315%9 Jul →
nuke13–11-0.0011%8 Jul →
overpass13–110.0714%8 Jul →
overpass4–13-0.0830%8 Jul →
dust22–13-0.0724%8 Jul →
nuke9–130.0222%7 Jul →
ancient13–50.0813%7 Jul →
mirage8–13-0.0419%7 Jul →
vertigo4–12-0.0525%7 Jul →
overpass12–12-0.0410%7 Jul →
nuke4–6-0.0414%7 Jul →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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