Manecas

Manecas — CS2 Stats

76561199014537992[U:1:1054272264]Steam profile ↗✓ No bans

3,022Tracked matches47%Win rate2020Tracked since
3,115Hours in CS4Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
CSDB Leaderboard#67102 of 261674 tracked
FaceitLevel 9 · 2,046 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,286 +156 26 Apr – 2 May · 2 days played
21,13021,286peak 21,28626 Apr2 May
21,498Peak Premier in tracked matches
2,046Highest Faceit ELO seen on CSDB
74Days played since 2025-04-26

Faceit ELO

  • At peak — 2,046
  • Next: 2,500 ELO at 2,500 — 454 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,553), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate41.5%48.2%50.9%9.4% short
Shot accuracy11.1%13.2%13.7%2.6% short
Kill/death ratio0.971.071.090.11 short
Match win rate50.8%46.9%48.4%above

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGManecasFACEITLevel 9 · 2,046 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,046csdb.gg/stats

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Performance scores

Aim76
Positioning53
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY51–47–2Last 10051%Win rateLLWLWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −4.6pp headshot accuracy · −32ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 598ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 597ms

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 against its own average).

Aim7.6
Utility4.2
Positioning5.3
Opening Duels4.6
Clutch3.0

Limited utility dependence

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

m0NESY

Plays most like m0NESY 94% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 573ms 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

Aim7.6
Positioning5.3
Utility4.2
Mechanics7.5
Opening Duels3.5
Win Impact3.9

Composite 5.8/10 (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 rating-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time594ms−32ms
first ⅓ avg 626ms → last ⅓ avg 594ms
Headshot accuracy19.7%+0.6%
first ⅓ avg 19.2% → last ⅓ avg 19.7%

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

0.13Best match rating · 12–12 · mirage, 7 May →
40%Best headshot accuracy · 8–13 · nuke, 17 May →
398msFastest reaction time · 13–5 · inferno, 11 Oct →
13–3Biggest win · ancient, 20 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
5–11In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 60% over 15anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
ancientB2613–1350%-0.01
mirageA1911–858%0.01
infernoA159–660%0.00
dust2B137–654%0.02
anubisC104–640%-0.00
overpass—42–250%-0.02
cache—32–167%0.01
nuke—31–233%-0.02
train—21–150%0.01
grail—20–20%-0.03
vertigo—10–10%0.07
poseidon—10–10%-0.14
agency—11–0100%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

92,192Lifetime kills
0.97K/D
4,208Matches
50.8%Match win rate · Top 25% of Level 9 players
41.5%Headshot %
11.1%Shot accuracy
13,473MVPs
1,959Hours (in match)
4,377Bombs planted
1,596Bombs defused

Most-used weapons

AK-4725,505
AWP19,144
Knife2,873
MAC-102,177
MP91,872

Lifetime map wins

9,434inferno
5,500dust2
2,760nuke
2,239vertigo
1,709train
135cbble
62lake
18office

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

Faceit stats

Combat

3,196Matches
50%Win rate
1.00Avg K/D
79.7ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
21%1v2 clutch win
18Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis45350%1.0916.5
Mirage44252%1.0216.2
Ancient39047%0.9916.0
Dust221845%1.0216.3
Inferno20152%1.0115.5
Nuke15042%0.9615.4
Vertigo9152%0.8714.4
Overpass3944%1.0216.3

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.

19.8%Headshot accuracy
36.9%Accuracy (enemy spotted)
35.8%Spray accuracy
83.5%Counter-strafing
10.5°Preaim
573msReaction time
42.2%T opening success
45.6%CT opening success
0.44Enemies flashed / flash
3.4%Flash assists
10.54HE damage / grenade
4.87Flashes / 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 0.4412 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0417%16 Oct →
dust29–13-0.0711%15 Oct →
inferno13–50.0627%11 Oct →
inferno1–9-0.2314%9 Oct →
inferno19–16-0.0116%9 Oct →
dust29–130.0215%9 Oct →
mirage10–130.0015%12 Aug →
cache13–10-0.0018%3 Aug →
anubis13–110.0426%24 Jul →
cache8–13-0.0121%22 Jul →
ancient13–3-0.0124%20 Jul →
inferno13–90.0429%15 Jul →
anubis13–60.0023%4 Jul →
ancient11–130.0420%7 Jun →
ancient3–13-0.0018%6 Jun →
ancient13–10-0.019%24 May →
mirage10–13-0.0613%24 May →
cache13–90.0536%23 May →
nuke8–13-0.0640%17 May →
inferno8–130.0115%12 May →
ancient13–80.0022%4 May →
anubis13–11-0.0315%3 May →
inferno13–3-0.0117%19 Apr →
ancient4–130.0124%19 Apr →
inferno9–130.0318%17 Apr →
ancient8–130.0020%12 Apr →
ancient13–4-0.0320%5 Apr →
vertigo5–130.0716%23 Mar →
ancient8–13-0.0511%20 Mar →
inferno9–50.137%20 Mar →
nuke7–9-0.1028%20 Mar →
mirage13–4-0.0324%19 Mar →
mirage11–13-0.0422%18 Mar →
ancient13–10-0.0210%20 Feb →
ancient13–10-0.0210%20 Feb →
mirage3–13-0.0517%2 Feb →
poseidon0–9-0.148%1 Feb →
mirage13–110.0526%1 Feb →
inferno13–90.0232%30 Oct →
overpass8–13-0.0129%29 Oct →
inferno16–130.0622%28 Oct →
ancient12–16-0.0422%17 Oct →
inferno9–13-0.036%9 Oct →
mirage13–11-0.0314%28 Sept →
mirage13–8-0.0113%27 Sept →
ancient13–5-0.0415%27 Sept →
ancient10–13-0.0330%26 Sept →
overpass7–10.0110%26 Sept →
ancient13–11-0.0027%25 Sept →
ancient6–13-0.0222%16 Sept →
ancient13–16-0.0317%14 Sept →
ancient10–130.0423%12 Sept →
inferno1–13-0.0824%11 Sept →
inferno13–60.1024%11 Sept →
mirage13–70.0029%7 Sept →
dust213–90.0621%6 Sept →
mirage9–130.0112%31 Aug →
inferno13–70.0120%24 Aug →
ancient13–80.0127%24 Aug →
overpass3–13-0.0816%17 Aug →
ancient19–160.0422%16 Aug →
dust211–13-0.0429%29 Jul →
overpass13–70.0120%29 Jul →
dust213–80.0529%29 Jul →
train13–9-0.0136%23 Jul →
mirage13–90.0416%23 Jul →
mirage13–30.0424%20 Jul →
anubis7–13-0.0215%15 Jul →
mirage22–190.0016%12 Jul →
mirage13–60.0526%11 Jul →
ancient13–90.0114%10 Jul →
dust213–40.0926%9 Jul →
mirage10–130.0419%9 Jul →
mirage16–13-0.0126%8 Jul →
dust29–30.079%8 Jul →
dust22–130.0416%7 Jul →
anubis12–16-0.0116%6 Jul →
ancient11–130.0125%6 Jul →
train17–190.0315%5 Jul →
inferno5–13-0.0520%4 Jul →
dust213–9-0.0413%27 Jun →
dust213–90.0517%21 Jun →
anubis13–8-0.0121%21 Jun →
anubis11–130.048%7 Jun →
agency13–8-0.0616%7 Jun →
mirage13–50.0424%7 Jun →
ancient11–13-0.0414%15 May →
grail6–13-0.0423%8 May →
grail12–12-0.0217%8 May →
mirage12–120.1319%7 May →
ancient13–90.0412%7 May →
anubis10–130.0019%6 May →
ancient13–8-0.0313%5 May →
mirage8–13-0.0236%4 May →
ancient11–13-0.0338%2 May →
dust213–6-0.0121%2 May →
dust23–13-0.0619%1 May →
anubis10–13-0.0215%26 Apr →
nuke13–80.0934%26 Apr →
anubis11–13-0.0111%26 Apr →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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