Maeric

Maeric — CS2 Stats

76561197966246761[U:1:5981033]Steam profile ↗

540Tracked matches52%Win rate2020Tracked since
841Hours in CS
CSDB Rating4.2 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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

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Performance scores

Aim48
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

COLD43489Last 10043%Win rateLTWWLLTWLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Aim4.8
Aggression5.5
Utility4.2
Positioning3.9
Opening Duels1.1

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 79% playstyle similarity

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

Where you differ: lower positioning profile; 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 42% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim4.8
Positioning3.9
Utility4.2
Mechanics4.6
Opening Duels1.5
Win Impact5.6

Composite 4.2/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time616ms−11ms
first ⅓ avg 627ms → last ⅓ avg 616ms
Headshot accuracy16.9%+1.5%
first ⅓ avg 15.5% → last ⅓ avg 16.9%

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 — nuke 13–4
130Biggest win — inferno
5Longest win streak
87In matches decided by ≤2 rounds
3Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC2291341%-0.00
dust2C1771041%-0.02
ancientD1551033%-0.00
infernoD124833%-0.02
nukeB115645%0.01
overpassA74357%-0.03
anubisA53260%-0.00
train42250%-0.04
cache21150%-0.05
office21150%0.01
grail21150%0.02
basalt110100%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

40,080Lifetime kills
1.02K/D
1,996Matches
45.0%Match win rate
38.6%Headshot %
19.7%Shot accuracy · Top 5% of tracked players
4,417MVPs
841Hours (in match)
1,990Bombs planted
545Bombs defused

Most-used weapons

Lifetime map wins

3,469dust2
3,364inferno
2,325nuke
428vertigo
410train
274cbble
69office
56aztec

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.

16.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
35.7%Spray accuracy
70.5%Counter-strafing
11.5°Preaim
614msReaction time
26.3%T opening success
42.2%CT opening success
0.60Enemies flashed / flash
9.0%Flash assists
13.63HE damage / grenade
3.01Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0063 — below the 4 mark we flag

    Grenade Lineups
  2. 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 26.3355% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0515%29 Jul
mirage12–12-0.0311%28 Jul
cache13–10-0.0514%12 Jul
dust213–6-0.0220%12 Jul
cache11–13-0.0422%25 Jun
inferno4–13-0.0016%23 Jun
overpass12–12-0.0415%21 Jun
nuke13–80.0211%20 Jun
nuke7–13-0.0615%17 Jun
inferno9–13-0.0213%17 Jun
overpass13–4-0.0014%17 Jun
mirage13–60.0822%15 Jun
mirage6–130.0433%15 Jun
dust213–110.0923%15 Jun
dust211–13-0.0412%7 Jun
mirage13–7-0.0212%7 Jun
ancient8–13-0.0113%6 Jun
mirage13–11-0.0120%6 Jun
ancient16–14-0.0320%6 Jun
nuke9–13-0.0416%6 Jun
dust212–12-0.0217%4 Jun
nuke13–8-0.0520%4 Jun
mirage13–100.0420%3 Jun
nuke11–130.0225%3 Jun
inferno13–80.0816%2 Jun
inferno13–0-0.0519%2 Jun
anubis13–4-0.0312%2 Jun
ancient9–130.014%1 Jun
dust210–13-0.0819%1 Jun
dust23–13-0.1317%1 Jun
mirage13–160.0313%1 Jun
ancient11–13-0.0221%29 May
mirage11–13-0.0221%29 May
ancient16–14-0.0111%26 Apr
overpass13–10-0.035%26 Apr
mirage13–4-0.055%25 Apr
inferno1–8-0.0811%25 Apr
dust29–13-0.0211%24 Apr
mirage9–130.0116%23 Apr
dust213–5-0.0211%23 Apr
office13–70.0316%21 Jan
anubis5–13-0.0212%21 Jan
mirage12–12-0.0013%7 Nov
train12–12-0.0521%7 Nov
inferno4–13-0.0719%18 Oct
nuke13–10.1021%18 Oct
ancient11–13-0.0327%10 Sept
train13–11-0.0220%10 Sept
inferno4–13-0.009%10 Sept
overpass9–13-0.059%29 Jul
dust27–13-0.0111%29 Jul
mirage4–13-0.0513%29 Jul
dust213–8-0.0123%29 Jul
overpass13–10-0.0415%29 Jul
train5–13-0.0610%28 Jul
dust213–10-0.120%28 Jul
mirage6–13-0.0912%28 Jul
ancient8–130.0314%28 Jul
ancient7–13-0.0310%27 Jul
ancient11–130.0515%26 Jul
dust213–7-0.0318%26 Jul
dust210–13-0.0313%26 Jul
overpass5–130.029%18 Jul
overpass13–8-0.0524%16 Jul
inferno13–30.0216%16 Jul
nuke4–13-0.0618%16 Jul
mirage9–130.019%14 Jul
inferno5–3-0.0967%10 Jul
mirage5–13-0.0211%10 Jul
grail10–13-0.0113%9 Jul
grail13–60.068%9 Jul
ancient7–130.0411%3 Jul
dust212–120.0416%3 Jul
mirage12–12-0.059%2 Jul
train13–4-0.039%30 Jun
mirage13–100.0722%30 Jun
ancient13–9-0.0414%16 May
mirage1–13-0.0321%26 Apr
ancient6–12-0.0313%26 Apr
nuke6–13-0.0311%20 Apr
mirage13–110.0520%20 Apr
anubis13–7-0.028%19 Apr
mirage4–13-0.0716%19 Apr
mirage13–80.0415%13 Apr
ancient13–10.078%13 Apr
nuke13–40.1616%13 Apr
dust213–100.0610%6 Apr
basalt13–4-0.0324%3 Apr
dust28–13-0.048%3 Apr
inferno9–13-0.0214%3 Apr
ancient2–13-0.0522%3 Apr
nuke13–40.0531%3 Apr
nuke10–13-0.069%28 Mar
office12–12-0.0117%28 Mar
mirage13–11-0.0014%28 Mar
anubis9–13-0.0313%28 Mar
inferno12–120.0113%28 Mar
ancient13–80.0011%28 Mar
anubis13–50.088%27 Mar
dust210–13-0.029%27 Mar

Match data via Leetify.

Recent teammates

Milestones

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