levicci

levicci — CS2 Stats

76561198119513744[U:1:159248016]Steam profile ↗✓ No bans

289Tracked matches50%Win rate2020Tracked since
CSDB Rating4.2 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 289 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,110 +2,557 18 Jan – 14 Jun · 8 days played
12,55315,110peak 15,11018 Jan14 Jun
15,110Peak Premier in tracked matches
33Days played since 2026-01-16

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

Performance scores

Aim29
Positioning52
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLWWLWLTWW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +6.3pp headshot accuracy · +3ms 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 -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 556ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 621ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 620ms

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: Support — Utility contribution stands above the rest of this profile (+1.1 against its own average).

Aim2.9
Utility5.5
Positioning5.2
Opening Duels2.6

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 57% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 634ms 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

Aim2.9
Positioning5.2
Utility5.5
Mechanics4.5
Opening Duels2.4
Win Impact5.0

Composite 4.2/10 (Developing), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time641ms−28ms
first ⅓ avg 669ms → last ⅓ avg 641ms
Headshot accuracy15.7%−2.2%
first ⅓ avg 17.9% → last ⅓ avg 15.7%

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

0.07Best match rating · 13–7 · cache, 2 May →
33%Best headshot accuracy · 0–13 · ancient, 19 Jan →
422msFastest reaction time · 8–1 · anubis, 19 Jan →
13–0Biggest win · nuke, 6 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–5In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC167–944%-0.04
nukeS1410–471%-0.02
cacheC135–838%-0.03
anubisA116–555%-0.03
mirageA116–555%-0.03
officeC94–544%-0.04
vertigoS75–271%-0.02
ancientD50–50%-0.05
overpass—42–250%-0.03
italy—43–175%-0.03
dust2—31–233%-0.05
train—31–233%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Ancient 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.

15.7%Headshot accuracy
25.9%Accuracy (enemy spotted)
33.7%Spray accuracy
70.0%Counter-strafing
12.7°Preaim
634msReaction time
34.4%T opening success
45.1%CT opening success
0.54Enemies flashed / flash
5.1%Flash assists
10.11HE damage / grenade
6.08Flashes / 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 12.7078° — above the 12° mark we flag

    Aim Training →
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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0414%12 Sept →
anubis6–13-0.0717%13 Aug →
inferno13–40.0125%14 Jun →
nuke13–11-0.0327%14 Jun →
inferno2–13-0.1221%14 Jun →
office13–4-0.0210%8 Jun →
vertigo10–13-0.059%8 Jun →
cache12–12-0.0531%8 Jun →
nuke13–10-0.0518%6 Jun →
nuke13–00.0225%6 Jun →
inferno13–80.0112%5 Jun →
dust27–13-0.0422%5 Jun →
inferno3–13-0.0615%3 Jun →
inferno8–13-0.0918%3 Jun →
mirage8–13-0.0511%3 Jun →
anubis13–7-0.0011%3 Jun →
anubis11–13-0.0813%1 Jun →
cache4–13-0.0813%1 Jun →
anubis13–30.0013%27 May →
inferno13–8-0.018%27 May →
anubis12–12-0.039%27 May →
mirage3–13-0.0518%24 May →
nuke13–0-0.010%24 May →
mirage13–6-0.0426%24 May →
overpass8–3-0.0013%24 May →
dust213–16-0.0616%20 May →
inferno10–13-0.0313%20 May →
nuke13–6-0.0214%19 May →
mirage13–3-0.0411%19 May →
ancient3–13-0.0213%19 May →
inferno13–60.0124%19 May →
office11–13-0.0519%19 May →
office5–13-0.0510%19 May →
vertigo13–8-0.0423%12 May →
italy2–13-0.1124%12 May →
cache13–2-0.0710%12 May →
office13–4-0.0718%12 May →
nuke13–6-0.0720%12 May →
overpass4–13-0.0810%6 May →
inferno7–13-0.0723%6 May →
nuke13–90.0219%6 May →
cache9–13-0.0616%3 May →
mirage6–13-0.0226%3 May →
nuke6–13-0.1112%2 May →
cache13–70.0718%2 May →
inferno5–13-0.019%2 May →
nuke5–13-0.0429%29 Apr →
mirage8–6-0.0220%29 Apr →
cache13–2-0.0121%29 Apr →
inferno11–13-0.0621%29 Apr →
cache13–90.0422%29 Apr →
cache5–13-0.049%29 Apr →
cache9–13-0.0713%29 Apr →
cache8–13-0.0315%28 Apr →
cache6–13-0.0013%28 Apr →
cache13–50.0110%28 Apr →
nuke6–13-0.0224%28 Apr →
office8–13-0.0614%28 Apr →
office13–110.0115%25 Apr →
inferno13–30.0419%25 Apr →
vertigo13–11-0.1110%24 Apr →
italy13–100.038%24 Apr →
anubis13–11-0.0211%24 Apr →
nuke13–110.0716%23 Apr →
inferno13–2-0.076%23 Apr →
anubis3–13-0.084%22 Apr →
vertigo13–30.0517%22 Apr →
office11–13-0.0514%22 Apr →
inferno12–12-0.0218%22 Apr →
nuke13–110.0215%22 Apr →
train9–13-0.0712%22 Apr →
train13–9-0.0231%22 Apr →
inferno13–11-0.0315%13 Apr →
mirage13–4-0.0416%13 Apr →
mirage13–4-0.0124%13 Apr →
nuke5–13-0.0918%13 Apr →
ancient11–13-0.0321%13 Apr →
anubis13–11-0.0319%7 Apr →
train6–13-0.0726%7 Apr →
vertigo13–40.0224%7 Apr →
ancient10–13-0.0812%17 Mar →
anubis13–10-0.0128%17 Mar →
dust213–9-0.0419%2 Mar →
inferno2–13-0.1322%2 Mar →
anubis10–13-0.070%3 Feb →
mirage7–130.0121%3 Feb →
mirage13–7-0.0122%3 Feb →
ancient12–12-0.0316%29 Jan →
vertigo13–50.0117%29 Jan →
office13–8-0.0115%20 Jan →
italy13–4-0.0425%20 Jan →
vertigo2–13-0.0320%19 Jan →
overpass13–80.0114%19 Jan →
anubis8–10.000%19 Jan →
ancient0–13-0.0933%19 Jan →
mirage13–16-0.0015%18 Jan →
nuke13–80.0427%18 Jan →
overpass8–13-0.076%18 Jan →
italy13–60.0114%17 Jan →
office2–6-0.0712%16 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 →

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