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Mäksteri — CS2 Stats

76561199104506205[U:1:1144240477]

128Tracked matches57%Win rate2021Tracked since
CSDB Rating4.1 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGMäksteriFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim48
Positioning50
Utility30

0–100 skill scores via Leetify.

Recent form

COLD44–47–9Last 10044%Win rateLLTWWLLLLL

Last 10 vs previous 10: -40pp win rate · +0.00 avg rating

Player DNA

Aim4.8
Aggression6.7
Utility3.0
Positioning5.0
Opening Duels1.9
Clutch0.0

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

ropz

Plays most like ropz 79% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 593ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 59% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.8
Positioning5.0
Utility3.0
Mechanics2.0
Opening Duels1.9
Win Impact7.4

Composite 4.1/10 (Developing), 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 rating-0.03+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.03
Reaction time624ms+7ms
first ⅓ avg 617ms → last ⅓ avg 624ms
Headshot accuracy18.6%+6.0%
first ⅓ avg 12.6% → last ⅓ avg 18.6%

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

0.17Best rating — vertigo 9–6
13–1Biggest win — nuke
6Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 75% over 8infernoWeakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
infernoD204–1620%-0.05
nukeC187–1139%-0.05
ancientC125–742%-0.03
anubisC104–640%-0.05
dust2A85–363%-0.01
overpassS86–275%-0.03
mirageD62–433%-0.06
vertigoA53–260%0.02
train—44–0100%-0.02
cache—32–167%-0.03
eldorado—31–233%-0.02
poseidon—21–150%-0.03
debris—10–10%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 20). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8Matches
25%Win rate
0.56Avg K/D
55.7ADR
33%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno250%0.6211.5
Vertigo20%0.7014.0
Nuke20%0.477.5
Ancient1100%0.5317.0
Mirage10%0.356.0

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.

16.7%Headshot accuracy
34.3%Accuracy (enemy spotted)
37.6%Spray accuracy
58.9%Counter-strafing
10.9°Preaim
593msReaction time
41.8%T opening success
33.6%CT opening success
0.34Enemies flashed / flash
2.1%Flash assists
6.08HE damage / grenade
4.73Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3424 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.6353% — 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.

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.0816%27 Jul →
inferno5–13-0.0530%27 Jul →
inferno15–150.0415%23 Jul →
nuke13–100.0325%23 Jul →
inferno13–8-0.0117%23 Jul →
inferno4–9-0.176%13 Jul →
inferno3–9-0.1320%13 Jul →
dust28–130.0916%12 Jul →
nuke7–13-0.0118%12 Jul →
ancient6–13-0.035%12 Jul →
cache7–13-0.025%12 Jul →
overpass9–10.1124%12 Jul →
vertigo9–40.0833%12 Jul →
inferno7–9-0.0314%12 Jul →
poseidon1–9-0.2150%11 Jul →
nuke2–9-0.287%11 Jul →
vertigo9–60.1720%11 Jul →
eldorado9–30.0120%11 Jul →
inferno9–6-0.0730%11 Jul →
overpass9–7-0.0812%11 Jul →
eldorado8–8-0.0126%10 Jul →
inferno8–8-0.0712%10 Jul →
nuke9–60.0917%10 Jul →
vertigo5–9-0.117%10 Jul →
overpass9–6-0.1314%10 Jul →
poseidon9–00.1639%10 Jul →
eldorado8–8-0.0515%10 Jul →
debris6–9-0.0331%10 Jul →
dust213–5-0.0619%10 Jul →
ancient10–13-0.124%10 Jul →
cache13–4-0.023%10 Jul →
inferno5–13-0.0416%10 Jul →
inferno8–13-0.0327%10 Jul →
nuke16–14-0.0416%10 Jul →
ancient13–90.0111%9 Jul →
ancient5–13-0.0718%9 Jul →
anubis16–14-0.0125%9 Jul →
nuke2–13-0.1121%8 Jul →
dust213–9-0.0320%7 Jul →
vertigo13–5-0.0611%7 Jul →
train13–5-0.019%7 Jul →
nuke11–13-0.029%7 Jul →
inferno13–20.0515%7 Jul →
anubis13–6-0.0225%7 Jul →
vertigo12–120.0210%7 Jul →
cache13–4-0.0630%7 Jul →
dust213–5-0.0144%7 Jul →
nuke13–3-0.0310%6 Jul →
mirage13–2-0.019%6 Jul →
inferno13–6-0.0624%5 Jul →
ancient13–9-0.057%5 Jul →
nuke3–13-0.0823%5 Jul →
anubis13–11-0.1022%5 Jul →
nuke15–15-0.0420%3 Jul →
overpass16–12-0.065%3 Jul →
dust212–120.059%3 Jul →
ancient13–80.0312%17 Mar →
inferno7–13-0.033%13 Mar →
ancient11–130.0112%13 Mar →
anubis10–13-0.0815%2 Mar →
nuke16–14-0.0211%2 Mar →
overpass13–10-0.0210%2 Mar →
anubis13–9-0.019%24 Feb →
mirage6–13-0.0413%24 Feb →
ancient13–50.0111%24 Feb →
inferno10–13-0.058%17 Feb →
anubis15–15-0.0419%17 Feb →
mirage3–13-0.0614%14 Feb →
nuke2–13-0.0615%14 Feb →
inferno2–13-0.0511%14 Feb →
nuke13–3-0.046%14 Feb →
nuke6–13-0.070%13 Feb →
ancient13–9-0.087%13 Feb →
anubis15–15-0.0114%13 Feb →
inferno9–13-0.0522%13 Feb →
overpass7–10.0718%13 Feb →
nuke5–13-0.0711%13 Feb →
ancient5–13-0.066%13 Feb →
dust24–13-0.0418%13 Feb →
inferno3–13-0.0610%8 Feb →
overpass12–16-0.0524%8 Feb →
dust213–9-0.0514%3 Feb →
nuke13–1-0.0820%3 Feb →
inferno4–9-0.0437%9 Jan →
overpass4–13-0.078%23 Dec →
mirage13–8-0.098%4 Jul →
nuke14–16-0.0715%4 Jul →
nuke4–13-0.0215%18 Jun →
train13–8-0.058%6 May →
anubis2–13-0.0821%6 May →
anubis2–13-0.1014%2 Apr →
ancient11–13-0.044%22 Feb →
mirage2–13-0.130%2 Feb →
train13–9-0.0311%2 Feb →
ancient7–130.0111%31 Jan →
train13–3-0.018%31 Jan →
mirage10–13-0.047%26 Jan →
inferno6–13-0.1114%26 Jan →
inferno10–13-0.0115%19 Jan →
dust213–80.009%19 Jan →

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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