Manko

Manko — CS2 Stats

NO76561198231892396[U:1:271626668]Steam profile ↗✓ No bans

947Tracked matches48%Win rate2020Tracked since
3,852Hours in CS7Hrs last 2 wks
CSDB Rating4.9 DevelopingHybrid Rifler
FaceitLevel 9 · 1,890 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,892), 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 rate39.1%48.5%51.9%12.9% short
Shot accuracy15.6%13.3%13.7%above
Kill/death ratio1.041.071.080.05 short
Match win rate47.8%47.0%48.7%meets

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGMankoFACEITLevel 9 · 1,890 ELOSTANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim61
Positioning50
Utility49

0–100 skill scores via Leetify.

Recent form

HOT51472Last 10051%Win rateLWLLWWWWWW

Last 10 vs previous 10: +50pp win rate · +0.06 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.1
Aggression6.8
Utility4.9
Positioning5.0
Opening Duels2.8
Clutch3.8

Strong CT-side openerLimited 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.

Your pro match

ropz

Plays most like ropz 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

T-side openings. Opening success drops from 51% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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

Aim6.1
Positioning5.0
Utility4.9
Mechanics6.1
Opening Duels2.8
Win Impact4.4

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time643ms−5ms
first ⅓ avg 648ms → last ⅓ avg 643ms
Headshot accuracy21.0%+2.5%
first ⅓ avg 18.5% → last ⅓ avg 21.0%

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.

Highlights

0.14Best rating — cache 13–4
130Biggest win — dust2
6Longest win streak
127In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 71% over 14anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB35161946%0.01
overpassB168850%-0.02
infernoS1410471%-0.01
dust2C94544%-0.01
anubisD92722%0.01
trainA85363%0.00
ancient43175%-0.04
cache32167%0.07
nuke21150%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,320Lifetime kills
1.04K/D
4,344Matches
47.8%Match win rate · Top 50% of Level 9 players
39.1%Headshot %
15.6%Shot accuracy · Top 50% of Level 9 players
10,821MVPs
1,808Hours (in match)
4,145Bombs planted
1,299Bombs defused

Most-used weapons

Lifetime map wins

4,764inferno
3,365dust2
1,859train
1,248vertigo
838nuke
596cbble
30office
24safehouse

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

Faceit stats

Combat

807Matches
52%Win rate
1.01Avg K/D
84.5ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
28%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1771%1.3018.6
Anubis1250%1.1415.1
Inferno1050%1.1818.6
Overpass580%1.0411.8
Dust2333%0.7813.0
Ancient1100%1.4320.0

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.

21.0%Headshot accuracy
32.4%Accuracy (enemy spotted)
29.5%Spray accuracy
77.3%Counter-strafing
8.6°Preaim
653msReaction time
31.0%T opening success
51.2%CT opening success
0.53Enemies flashed / flash
8.7%Flash assists
11.56HE damage / grenade
3.58Flashes / 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 3.5769 — 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 30.9622% — below the 40% mark we flag

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage11–130.1014%29 Aug
cache13–40.1422%29 Aug
cache11–13-0.0517%29 Aug
mirage12–16-0.0923%29 Aug
inferno13–80.0618%29 Aug
dust213–00.0825%22 Aug
mirage13–40.1012%21 Aug
mirage13–90.0321%20 Aug
cache13–40.1218%14 Aug
mirage13–70.0015%4 Jul
anubis1–130.000%4 Jul
overpass0–13-0.084%13 Mar
anubis7–130.0527%9 Mar
overpass3–7-0.0914%6 Mar
overpass8–13-0.0419%6 Mar
mirage13–1-0.0022%6 Mar
overpass15–150.0424%23 Feb
anubis13–80.0117%22 Feb
mirage14–160.0517%22 Feb
anubis10–13-0.0212%16 Feb
mirage16–140.0718%14 Feb
dust23–13-0.0226%13 Feb
mirage13–30.0114%12 Feb
anubis8–130.0524%12 Feb
inferno13–10-0.0239%10 Feb
mirage10–130.0222%10 Feb
inferno13–16-0.0029%9 Feb
overpass13–00.0446%9 Feb
inferno13–100.0222%9 Feb
overpass5–13-0.0526%9 Feb
anubis9–130.0335%9 Feb
mirage19–160.0521%8 Feb
mirage14–160.0126%5 Feb
mirage13–110.0524%5 Feb
inferno7–13-0.0241%2 Feb
mirage5–13-0.0423%2 Feb
anubis13–11-0.0110%2 Feb
mirage8–130.0523%2 Feb
overpass13–6-0.0410%1 Feb
anubis11–130.0328%1 Feb
mirage3–13-0.0546%1 Feb
dust213–110.0315%31 Jan
ancient13–5-0.0110%30 Jan
anubis10–13-0.0510%28 Jan
mirage13–100.0213%28 Jan
dust26–13-0.0416%22 Jan
mirage16–14-0.0219%18 Jan
ancient13–110.0116%18 Jan
mirage9–130.0122%18 Jan
overpass7–130.0015%18 Jan
mirage3–13-0.0426%18 Jan
mirage8–13-0.0410%18 Jan
dust24–13-0.0316%18 Jan
mirage8–13-0.0418%18 Jan
inferno13–9-0.0220%17 Jan
mirage12–160.0224%17 Jan
mirage4–13-0.0312%17 Jan
dust212–16-0.0611%16 Jan
inferno13–110.0021%16 Jan
train6–13-0.0118%16 Jan
overpass13–8-0.0715%16 Jan
overpass13–50.0128%16 Jan
mirage13–80.1039%14 Jan
mirage9–130.0318%14 Jan
train13–11-0.0331%11 Jan
inferno14–16-0.057%11 Jan
mirage3–13-0.0214%11 Jan
mirage13–80.0321%9 Jan
train13–9-0.0230%9 Jan
overpass9–13-0.0211%9 Jan
nuke13–100.0417%9 Jan
train13–100.0120%9 Jan
overpass16–13-0.0212%9 Jan
overpass13–7-0.0023%6 Jan
train11–13-0.0121%6 Jan
mirage13–60.0621%6 Jan
mirage12–160.0314%4 Jan
inferno13–80.059%4 Jan
dust213–9-0.0317%4 Jan
overpass15–15-0.009%4 Jan
ancient2–13-0.1131%4 Jan
train13–10.0813%4 Jan
overpass13–7-0.0310%3 Jan
inferno13–110.0016%3 Jan
ancient13–10-0.0526%3 Jan
inferno9–13-0.0128%3 Jan
mirage13–60.0412%3 Jan
mirage10–13-0.0126%3 Jan
mirage13–9-0.0521%3 Jan
train3–13-0.0021%3 Jan
inferno13–5-0.0521%2 Jan
mirage13–11-0.0116%2 Jan
inferno13–5-0.0223%2 Jan
nuke6–13-0.0116%2 Jan
overpass13–50.0428%2 Jan
inferno13–11-0.0316%2 Jan
dust26–13-0.0316%2 Jan
dust213–110.0416%1 Jan
train13–50.019%1 Jan
mirage8–130.0319%1 Jan

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 →