zenzo

zenzo — CS2 Stats

US76561198205591788[U:1:245326060]Steam profile ↗✓ No bans

1,277Tracked matches65%Win rate2023Tracked since
CSDB Rating3.9 LearningPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify
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. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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Performance scores

Aim25
Positioning45
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY593110Last 10059%Win rateWWTWWLWLLL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −3.5pp headshot accuracy · −16ms 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

  • 401 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 9%
  • Avg reaction 605ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 575ms

Last 20

  • 1163 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 583ms

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 PlayerPositioning stands above the rest of this profile (+1.6 against its own average).

Aim2.5
Utility3.3
Positioning4.5
Opening Duels0.8

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

NiKo

Plays most like NiKo 66% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 568ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim2.5
Positioning4.5
Utility3.3
Mechanics4.0
Opening Duels1.5
Win Impact10.0

Composite 3.9/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time564ms−42ms
first ⅓ avg 606ms → last ⅓ avg 564ms
Headshot accuracy11.0%−0.4%
first ⅓ avg 11.4% → last ⅓ avg 11.0%

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.

Personal bests

0.11Best match rating · 13–6 · office, 29 Aug
29%Best headshot accuracy · 13–4 · ancient, 7 Sept
391msFastest reaction time · 13–4 · ancient, 7 Sept
13–2Biggest win · dust2, 20 Sept

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
77In matches decided by ≤2 rounds

Map breakdown

officeBest map · 80% over 5nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2B21101148%-0.01
infernoA1811761%-0.03
mirageA138562%-0.02
anubisS107370%-0.02
ancientB105550%-0.03
nukeC83538%-0.05
cacheS64267%-0.06
officeS54180%0.01
train43175%-0.05
overpass43175%-0.04
vertigo110100%-0.00

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.5%Headshot accuracy
29.3%Accuracy (enemy spotted)
33.1%Spray accuracy
68.0%Counter-strafing
15.2°Preaim
568msReaction time
40.2%T opening success
31.8%CT opening success
0.31Enemies flashed / flash
6.8%Flash assists
7.90HE damage / grenade
1.89Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 15.2369° — above the 12° mark we flag

    Aim Training
  2. 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 10.5105% — below the 15% mark we flag

    Aim Training
  3. 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 0.3127 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–70.0010%20 Sept
train13–3-0.078%20 Sept
nuke12–12-0.049%20 Sept
inferno13–60.057%20 Sept
anubis13–11-0.0110%20 Sept
mirage8–13-0.0310%20 Sept
dust213–20.0318%20 Sept
cache7–13-0.058%14 Sept
nuke4–13-0.0815%14 Sept
mirage6–13-0.1310%14 Sept
anubis13–7-0.0911%14 Sept
inferno12–12-0.0115%14 Sept
ancient11–13-0.048%14 Sept
dust213–60.0413%13 Sept
ancient13–7-0.0615%13 Sept
anubis13–50.0221%13 Sept
inferno4–13-0.0212%13 Sept
train12–12-0.0810%13 Sept
mirage13–5-0.0515%13 Sept
dust213–2-0.0122%13 Sept
anubis8–130.0117%8 Sept
ancient6–13-0.074%8 Sept
inferno13–9-0.0110%8 Sept
inferno13–4-0.070%8 Sept
nuke13–4-0.057%8 Sept
dust28–13-0.086%8 Sept
mirage13–40.087%8 Sept
dust212–12-0.0510%7 Sept
overpass13–3-0.015%7 Sept
nuke13–7-0.017%7 Sept
mirage13–10-0.0716%7 Sept
inferno12–12-0.070%7 Sept
ancient13–4-0.0229%7 Sept
anubis13–4-0.0311%7 Sept
cache13–8-0.1015%7 Sept
office13–50.0111%7 Sept
dust213–30.0919%7 Sept
anubis13–7-0.054%7 Sept
mirage13–8-0.075%7 Sept
ancient13–40.0413%7 Sept
mirage9–13-0.055%6 Sept
inferno3–13-0.058%6 Sept
dust213–40.0110%6 Sept
dust213–50.058%6 Sept
inferno13–40.015%6 Sept
dust210–130.0210%6 Sept
inferno13–8-0.0014%6 Sept
dust210–13-0.0511%6 Sept
dust212–12-0.088%6 Sept
nuke10–13-0.039%6 Sept
anubis11–13-0.0015%6 Sept
train13–10-0.073%6 Sept
mirage13–70.0215%6 Sept
office13–110.0125%6 Sept
ancient12–12-0.079%6 Sept
cache2–13-0.096%6 Sept
inferno5–13-0.062%5 Sept
dust211–13-0.036%5 Sept
mirage3–130.0117%5 Sept
dust212–120.0615%5 Sept
dust213–2-0.0210%5 Sept
overpass9–6-0.084%2 Sept
inferno7–9-0.0520%2 Sept
overpass9–40.019%31 Aug
vertigo9–7-0.004%31 Aug
inferno9–30.0526%31 Aug
nuke6–9-0.095%31 Aug
anubis13–80.049%31 Aug
ancient13–7-0.026%31 Aug
office13–11-0.086%31 Aug
cache13–8-0.094%31 Aug
mirage13–10-0.027%31 Aug
nuke3–13-0.0515%31 Aug
inferno13–11-0.104%31 Aug
overpass9–13-0.0711%30 Aug
ancient12–12-0.0219%30 Aug
office11–130.0111%30 Aug
anubis13–10-0.0312%30 Aug
mirage13–30.0111%30 Aug
inferno13–3-0.028%30 Aug
dust213–7-0.038%30 Aug
office13–60.1120%29 Aug
nuke13–10-0.0718%29 Aug
inferno13–5-0.0715%29 Aug
anubis12–12-0.0518%29 Aug
ancient13–8-0.0622%29 Aug
mirage13–11-0.038%29 Aug
cache13–8-0.0315%29 Aug
train13–70.0321%29 Aug
dust211–13-0.0611%28 Aug
inferno13–5-0.007%24 Aug
dust22–13-0.0311%24 Aug
dust26–130.0213%24 Aug
dust213–40.0312%23 Aug
dust213–11-0.035%23 Aug
inferno13–60.038%23 Aug
dust23–13-0.059%23 Aug
ancient8–130.008%23 Aug
mirage11–130.0311%23 Aug
inferno8–13-0.0611%23 Aug

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 →