mechler

mechler — CS2 Stats

US76561197960276661[U:1:10933]Steam profile ↗✓ No bans

1,543Tracked matches32%Win rate2024Tracked since
CSDB Rating3.8 LearningSupport
Premier CS Rating4,360Grey band · top ~81.5% of ranked players (population est.)
FaceitLevel 2 · 928 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+230Premier CS Rating · 4,130 → 4,360
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 44 days played since 27 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,360 -640 27 Jul22 Sept · 36 days played
4,0895,136peak 5,13627 Jul22 Sept
Faceit ELO: 928 +0 28 Aug17 Sept · 3 observations
928928peak 92828 Aug17 Sept
5,357Peak Premier in tracked matches
928Highest Faceit ELO seen on CSDB
44Days played since 2026-07-27

Faceit ELO

  • At peak — 928
  • Next: Level 5 at 1,051 123 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-08-28
  • Level 3 first seen 2026-08-28

Premier CS Rating

  • 776 below peak (5,136)
  • -276 over 30 days · steady
  • Next: Light Blue band at 5,000 640 to go
  • Reached: Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGmechlerFACEITLevel 2 · 928 ELOSTANDINGTop 97.9% of rankedPREMIER4,360 · Grey bandPEAK ELO928csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim39
Positioning54
Utility73

0–100 skill scores via Leetify.

Recent form

STEADY33616Last 10033%Win rateWLLWLWWTLT

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +2.7pp headshot accuracy · +121ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 647ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 766ms

Last 20

  • 5132 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 706ms

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: SupportUtility contribution stands above the rest of this profile (+3.1 against its own average).

Aim3.9
Utility7.3
Positioning5.4
Opening Duels3.0
Clutch1.2

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

NiKo

Plays most like NiKo 57% 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

Reaction time. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.9
Positioning5.4
Utility7.3
Mechanics3.7
Opening Duels3.6
Win Impact0.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time677ms−38ms
first ⅓ avg 715ms → last ⅓ avg 677ms
Headshot accuracy13.6%+0.6%
first ⅓ avg 12.9% → last ⅓ avg 13.6%

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.

Personal bests

0.26Best match rating · 9–4 · inferno, 9 Aug
32%Best headshot accuracy · 13–4 · ancient, 25 Aug
406msFastest reaction time · 9–13 · ancient, 2 Sept
13–2Biggest win · office, 4 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
55In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 53% over 17mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
cacheD2061430%-0.03
infernoD2051525%-0.02
nukeB179853%-0.02
mirageD112918%-0.03
dust2D92722%-0.06
ancientD82625%-0.05
anubisC73443%-0.03
office42250%-0.01
overpass110100%-0.15
train1010%0.03
boulder110100%0.07
vertigo1010%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

99Matches
42%Win rate
0.74Avg K/D
62.2ADR
44%Headshot %

Clutches & streaks

26%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1747%0.7412.0
Mirage1729%0.6110.5
Anubis1662%0.9813.2
Inferno1443%0.6410.9
Dust21436%0.6711.5
Cache1040%0.7612.3
Ancient825%0.7311.1
Overpass367%0.9913.3

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.

13.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
37.6%Spray accuracy
66.5%Counter-strafing
11.6°Preaim
651msReaction time
40.8%T opening success
48.1%CT opening success
0.68Enemies flashed / flash
7.9%Flash assists
8.37HE damage / grenade
20.69Flashes / 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 13.2969% — 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.

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–100.0112%22 Sept
nuke7–130.0218%21 Sept
cache11–130.0216%20 Sept
cache13–110.0216%20 Sept
ancient10–13-0.0411%20 Sept
overpass9–7-0.154%19 Sept
nuke9–3-0.0119%19 Sept
inferno8–8-0.0615%19 Sept
cache9–13-0.0520%18 Sept
dust215–15-0.019%17 Sept
anubis8–13-0.0513%17 Sept
cache13–10-0.0814%17 Sept
nuke9–13-0.0115%16 Sept
mirage12–16-0.063%14 Sept
mirage5–130.0415%12 Sept
inferno0–13-0.0017%12 Sept
cache7–13-0.068%12 Sept
cache10–13-0.066%10 Sept
dust28–13-0.1011%9 Sept
cache5–13-0.0513%9 Sept
nuke13–50.032%9 Sept
anubis9–13-0.0513%7 Sept
inferno13–70.019%7 Sept
train7–130.0320%7 Sept
office13–7-0.046%7 Sept
cache15–15-0.0214%6 Sept
mirage11–13-0.078%6 Sept
nuke8–13-0.0616%6 Sept
cache10–13-0.0817%5 Sept
anubis13–7-0.0720%5 Sept
inferno13–3-0.0128%5 Sept
inferno11–130.0421%4 Sept
office13–20.0323%4 Sept
nuke13–9-0.0212%4 Sept
office6–130.0417%4 Sept
office7–13-0.0912%3 Sept
ancient9–13-0.0814%2 Sept
inferno10–13-0.0316%1 Sept
ancient11–13-0.0514%1 Sept
nuke10–13-0.0412%31 Aug
cache10–13-0.0121%31 Aug
dust23–13-0.0718%29 Aug
inferno13–16-0.039%29 Aug
cache13–11-0.0025%27 Aug
dust22–13-0.1012%26 Aug
mirage13–8-0.0224%25 Aug
ancient13–4-0.0132%25 Aug
nuke16–130.008%25 Aug
inferno5–13-0.1115%23 Aug
cache13–60.0610%23 Aug
dust29–13-0.0723%22 Aug
cache7–13-0.0612%22 Aug
inferno7–13-0.108%21 Aug
mirage3–13-0.0513%21 Aug
nuke13–10-0.0119%21 Aug
dust215–15-0.0714%19 Aug
ancient13–8-0.0811%19 Aug
mirage7–13-0.0126%19 Aug
cache14–16-0.0015%14 Aug
inferno13–50.0512%14 Aug
inferno7–13-0.073%12 Aug
nuke13–100.0223%11 Aug
inferno3–13-0.049%10 Aug
anubis13–11-0.026%10 Aug
ancient4–13-0.0910%9 Aug
anubis10–13-0.038%9 Aug
inferno9–40.2625%9 Aug
inferno2–9-0.1218%9 Aug
cache8–13-0.096%7 Aug
inferno10–13-0.0816%7 Aug
nuke5–13-0.0617%6 Aug
nuke13–100.019%6 Aug
mirage7–13-0.0213%6 Aug
cache2–13-0.080%5 Aug
dust28–13-0.0411%5 Aug
nuke13–11-0.0510%5 Aug
anubis10–13-0.0013%4 Aug
inferno13–100.0116%4 Aug
mirage13–7-0.0413%4 Aug
nuke8–13-0.105%3 Aug
anubis13–9-0.018%3 Aug
cache13–8-0.040%2 Aug
mirage9–13-0.0116%1 Aug
inferno10–130.0218%1 Aug
nuke15–15-0.0710%1 Aug
cache10–13-0.094%31 Jul
nuke8–13-0.0423%31 Jul
boulder13–30.0719%31 Jul
cache13–60.0418%30 Jul
ancient9–13-0.028%30 Jul
inferno4–13-0.0812%30 Jul
dust213–10-0.0420%29 Jul
cache9–13-0.039%29 Jul
inferno6–13-0.0313%29 Jul
mirage5–13-0.0721%28 Jul
mirage5–13-0.0216%28 Jul
inferno9–13-0.089%28 Jul
dust213–8-0.0215%28 Jul
vertigo8–8-0.1029%27 Jul
ancient5–13-0.0013%27 Jul

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 →