Zecca

Zecca — CS2 Stats

76561198314489959[U:1:354224231]Steam profile ↗✓ No bans

3,880Tracked matches59%Win rate2020Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating16,703Purple band · top ~21.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,703 +2,970 17 Sept – 24 Oct · 20 days played
13,10816,922peak 16,92217 Sept24 Oct
16,922Peak Premier in tracked matches
30Days played since 2026-09-17

Premier CS Rating

  • 219 below peak (16,922)
  • +1,178 over 30 days · improving
  • Next: Pink band at 20,000 — 3,297 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

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

Share this profile

CSDB.GGZeccaFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,703 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning58
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateWLLLWWLWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +3.1pp headshot accuracy · +9ms reaction

Win rate 0pp 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 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 553ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 506ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 502ms

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 (+2.3 against its own average).

Aim7.2
Utility4.8
Positioning5.8
Opening Duels3.5
Clutch0.0

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

jL

Plays most like jL 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.2
Positioning5.8
Utility4.8
Mechanics5.9
Opening Duels4.7
Win Impact7.9

Composite 6.2/10 (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 rating0.01+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time518ms−79ms
first ⅓ avg 597ms → last ⅓ avg 518ms
Headshot accuracy23.8%−0.2%
first ⅓ avg 24.1% → last ⅓ avg 23.8%

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

0.15Best match rating · 13–8 · inferno, 30 Sept →
43%Best headshot accuracy · 0–8 · nuke, 25 Sept →
391msFastest reaction time · 13–16 · anubis, 6 Oct →
13–0Biggest win · inferno, 22 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.00
infernoA2213–959%0.02
dust2B157–847%0.00
nukeB147–750%0.01
ancientD82–625%-0.00
cacheA74–357%-0.01
anubisA53–260%0.03
vertigo—20–20%-0.03
office—11–0100%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
50%Win rate
0.86Avg K/D
79.5ADR
54%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Dust210%0.7814.0
Anubis1100%0.9314.0

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.

24.3%Headshot accuracy
31.8%Accuracy (enemy spotted)
36.0%Spray accuracy
76.5%Counter-strafing
11.0°Preaim
527msReaction time
46.6%T opening success
50.7%CT opening success
0.52Enemies flashed / flash
4.5%Flash assists
6.31HE damage / grenade
11.07Flashes / match

Recommended for you

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–7-0.0324%24 Oct →
mirage6–13-0.0221%24 Oct →
ancient11–13-0.0330%23 Oct →
dust28–130.0725%23 Oct →
inferno13–40.0542%23 Oct →
inferno13–60.0624%22 Oct →
ancient3–13-0.0219%22 Oct →
dust213–80.0340%22 Oct →
vertigo4–13-0.0320%21 Oct →
mirage13–30.0324%21 Oct →
cache13–7-0.0125%21 Oct →
mirage7–130.0520%20 Oct →
anubis12–30.0629%20 Oct →
nuke13–60.0533%20 Oct →
inferno12–12-0.0028%19 Oct →
ancient13–40.0828%19 Oct →
mirage13–70.0222%15 Oct →
mirage11–13-0.0124%11 Oct →
dust24–13-0.0614%11 Oct →
mirage8–13-0.0217%10 Oct →
dust213–70.0015%10 Oct →
mirage13–50.0422%10 Oct →
inferno6–130.0233%10 Oct →
inferno13–4-0.0022%9 Oct →
inferno13–11-0.0328%9 Oct →
mirage6–40.019%9 Oct →
mirage14–16-0.0614%7 Oct →
inferno13–50.0715%7 Oct →
dust213–30.0623%7 Oct →
nuke13–160.0131%6 Oct →
anubis13–16-0.0121%6 Oct →
dust213–16-0.0227%6 Oct →
nuke10–13-0.0018%6 Oct →
inferno13–110.0314%6 Oct →
ancient11–130.0716%5 Oct →
ancient4–13-0.0730%5 Oct →
anubis13–100.0618%4 Oct →
mirage9–13-0.0613%3 Oct →
dust213–8-0.0135%3 Oct →
mirage12–12-0.0318%2 Oct →
mirage13–10-0.0322%2 Oct →
mirage13–10-0.0332%30 Sept →
inferno13–80.0114%30 Sept →
nuke16–140.0323%30 Sept →
dust213–80.0111%30 Sept →
mirage13–60.0427%30 Sept →
inferno13–80.1527%30 Sept →
mirage5–13-0.0425%29 Sept →
inferno4–130.0516%29 Sept →
mirage7–13-0.0318%28 Sept →
cache3–13-0.0123%28 Sept →
cache7–130.0623%28 Sept →
inferno8–13-0.0524%28 Sept →
inferno13–70.0519%27 Sept →
dust25–13-0.0422%27 Sept →
ancient2–13-0.0227%27 Sept →
mirage13–10.0716%26 Sept →
nuke0–8-0.0643%25 Sept →
dust26–13-0.0616%25 Sept →
nuke5–130.0224%25 Sept →
mirage11–13-0.0122%25 Sept →
nuke13–80.0816%25 Sept →
ancient13–110.0513%25 Sept →
inferno16–130.1217%24 Sept →
mirage16–140.0229%24 Sept →
cache13–11-0.0113%24 Sept →
office13–5-0.0811%24 Sept →
nuke13–60.0824%24 Sept →
inferno12–12-0.0318%24 Sept →
inferno11–13-0.044%23 Sept →
mirage13–10-0.0717%23 Sept →
dust213–4-0.0829%23 Sept →
anubis13–5-0.0315%23 Sept →
inferno13–4-0.0122%23 Sept →
cache13–9-0.0321%23 Sept →
vertigo3–13-0.0321%23 Sept →
mirage13–70.0627%23 Sept →
dust212–120.0723%23 Sept →
inferno13–9-0.0717%22 Sept →
nuke13–8-0.0219%22 Sept →
mirage6–130.0138%22 Sept →
inferno13–00.0736%22 Sept →
nuke9–13-0.0722%22 Sept →
dust213–110.0634%22 Sept →
mirage13–80.0825%22 Sept →
anubis8–130.0523%22 Sept →
ancient4–13-0.0725%21 Sept →
cache16–13-0.0427%21 Sept →
mirage13–11-0.0118%21 Sept →
inferno5–13-0.0038%21 Sept →
nuke13–80.0935%21 Sept →
cache8–13-0.0420%20 Sept →
mirage12–12-0.0318%20 Sept →
dust28–130.0316%20 Sept →
inferno11–130.0043%19 Sept →
inferno6–13-0.0525%18 Sept →
nuke6–13-0.0421%18 Sept →
nuke11–13-0.0014%17 Sept →
mirage10–13-0.0135%17 Sept →
dust26–13-0.0226%17 Sept →

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 →

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