ZimBardo — CS2 Stats

76561199412580057[U:1:1452314329]

490Tracked matches37%Win rate2022Tracked since
CSDB Rating3.4 Learning
FaceitLevel 4 · 990 ELOTop 81.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

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CSDB.GGZimBardoFACEITLevel 4 · 990 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning56
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY40591Last 10040%Win rateLLWWWWLWLW

Last 10 vs previous 10: +30pp win rate · -0.03 avg rating

Player DNA

Aim4.4
Aggression5.4
Utility3.1
Positioning5.6
Opening Duels1.8
Clutch3.6

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 81% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 574ms 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

Aim4.4
Positioning5.6
Utility3.1
Mechanics4.5
Opening Duels1.8
Win Impact0.6

Composite 3.4/10 (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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time571ms−56ms
first ⅓ avg 627ms → last ⅓ avg 571ms
Headshot accuracy11.0%−2.4%
first ⅓ avg 13.3% → 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.

Highlights

0.10Best rating — office 13–1
131Biggest win — office
4Longest win streak
L2Current streak
66In matches decided by ≤2 rounds
2Overtime games

Map breakdown

overpassBest map · 58% over 12ancientWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
mirageC2381535%-0.02
ancientD2171433%-0.01
nukeC1871139%-0.00
infernoC145936%-0.01
overpassA127558%-0.01
anubisD62433%-0.02
dust232167%-0.02
office220100%0.07
cache1010%0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

53Matches
51%Win rate
0.99Avg K/D
68.1ADR
32%Headshot %

Clutches & streaks

38%1v1 clutch win
38%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1338%0.9715.8
Inferno757%1.0712.9
Nuke4100%1.0813.0
Vertigo367%1.1621.0
Mirage333%0.8614.3
Overpass20%0.8615.5
Anubis1100%1.5323.0

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.

11.3%Headshot accuracy
32.9%Accuracy (enemy spotted)
37.2%Spray accuracy
70.4%Counter-strafing
12.3°Preaim
574msReaction time
32.1%T opening success
42.6%CT opening success
0.42Enemies flashed / flash
2.9%Flash assists
8.79HE damage / grenade
2.62Flashes / 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 12.2842° — 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 11.3083% — 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 0.4208 — below the 0.5 mark we flag

    Grenade Lineups
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 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0714%28 Aug
inferno10–13-0.0512%28 Aug
nuke13–100.027%27 Aug
ancient13–10-0.025%27 Aug
ancient13–110.019%23 Aug
mirage13–30.049%22 Aug
nuke8–13-0.0111%20 Aug
nuke13–10-0.0319%20 Aug
nuke8–13-0.0110%14 Aug
ancient13–9-0.0813%21 Jun
nuke6–130.039%9 Jun
mirage13–11-0.0211%9 Jun
ancient11–130.0211%2 Jun
mirage5–130.069%2 Jun
mirage6–13-0.0113%26 May
nuke13–100.0214%26 May
ancient7–13-0.0117%21 May
overpass10–130.0111%21 May
mirage13–6-0.0116%12 May
nuke10–130.0313%12 May
inferno13–90.0318%11 May
cache8–130.055%30 Apr
mirage6–13-0.0422%28 Apr
ancient11–130.009%23 Apr
overpass13–10-0.038%21 Apr
ancient4–13-0.0017%16 Apr
anubis9–13-0.053%16 Apr
ancient7–13-0.050%14 Apr
mirage4–13-0.0414%14 Apr
overpass11–13-0.0916%9 Apr
anubis6–13-0.026%9 Apr
ancient8–13-0.029%7 Apr
nuke9–13-0.024%7 Apr
inferno7–13-0.0111%29 Mar
inferno7–130.066%26 Mar
ancient14–160.019%26 Mar
overpass9–130.014%24 Mar
inferno13–110.0310%19 Mar
mirage7–13-0.077%19 Mar
anubis13–7-0.036%18 Mar
overpass7–1-0.0311%18 Mar
inferno8–13-0.0711%18 Mar
mirage6–13-0.0513%2 Mar
office13–10.1015%1 Mar
office13–90.039%1 Mar
inferno8–130.0017%28 Feb
ancient13–30.0030%26 Feb
mirage13–7-0.0313%26 Feb
inferno4–13-0.034%24 Feb
inferno8–13-0.0617%17 Feb
mirage9–13-0.044%13 Feb
mirage13–11-0.0013%13 Feb
overpass7–00.096%13 Feb
ancient7–130.009%12 Feb
overpass5–13-0.058%12 Feb
ancient9–110.0412%10 Feb
ancient13–50.048%10 Feb
inferno12–12-0.0310%9 Feb
ancient7–13-0.037%8 Feb
anubis13–30.024%8 Feb
inferno13–110.0219%7 Feb
overpass10–0-0.020%7 Feb
nuke9–13-0.0316%7 Feb
mirage3–130.0124%7 Feb
nuke11–130.019%7 Feb
anubis7–13-0.0110%7 Feb
ancient13–10-0.0110%3 Feb
nuke13–10.037%29 Jan
mirage7–13-0.0712%29 Jan
overpass13–50.0414%28 Jan
inferno8–13-0.0214%28 Jan
anubis10–13-0.057%27 Jan
overpass4–13-0.0115%25 Jan
inferno13–100.0513%24 Jan
dust213–9-0.0436%22 Jan
overpass13–10-0.0415%20 Jan
nuke13–10.0225%20 Jan
ancient7–13-0.0116%18 Jan
nuke1–13-0.057%18 Jan
dust24–110.0120%18 Jan
nuke13–100.028%17 Jan
mirage8–13-0.0414%17 Jan
mirage5–13-0.0217%17 Jan
dust213–5-0.0213%17 Jan
mirage13–70.014%17 Jan
ancient8–13-0.0314%15 Jan
mirage7–130.0123%15 Jan
nuke7–13-0.0314%14 Jan
ancient16–14-0.018%14 Jan
mirage13–6-0.086%13 Jan
nuke13–80.0813%13 Jan
ancient8–13-0.067%12 Jan
mirage6–13-0.0211%12 Jan
ancient5–13-0.067%11 Jan
nuke7–13-0.0615%10 Jan
inferno13–8-0.0313%10 Jan
mirage13–30.0310%9 Jan
overpass13–60.0223%9 Jan
nuke7–13-0.089%9 Jan
mirage9–13-0.0111%9 Jan

Match data via Leetify.

Recent teammates

Milestones

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