Normac — CS2 Stats

76561197993298457[U:1:33032729]✓ No bans

288Tracked matches43%Win rate2020Tracked since
CSDB Rating4.8 DevelopingHybrid Rifler
Premier CS Rating10,888Blue band · top ~50.2% of ranked players (population est.)
CSDB Leaderboard#15032 of 20834 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGNormacFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,888 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning39
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY44524Last 10044%Win rateLLLWWWWLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.5
Aggression4.6
Utility4.2
Positioning3.9
Opening Duels1.2

Excellent counter-strafingLimited 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

NiKo

Plays most like NiKo 84% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower positioning profile; 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. 690ms 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

Aim6.5
Positioning3.9
Utility4.2
Mechanics8.7
Opening Duels1.2
Win Impact2.8

Composite 4.8/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time691ms−15ms
first ⅓ avg 706ms → last ⅓ avg 691ms
Headshot accuracy21.3%+2.0%
first ⅓ avg 19.3% → last ⅓ avg 21.3%

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

0.08Best rating — dust2 5–13
131Biggest win — inferno
4Longest win streak
L3Current streak
26In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 55% over 11dust2Weakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB26121446%-0.01
ancientC1881044%0.01
dust2D112918%-0.00
mirageA116555%-0.03
trainC83538%-0.02
anubisD72529%0.01
vertigoC73443%-0.02
overpassB63350%0.00
inferno440100%0.01
cache21150%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
64%Win rate
0.70Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis10%0.386.0
Nuke1100%0.365.0
Ancient1100%0.569.0

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.

19.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
32.2%Spray accuracy
89.1%Counter-strafing
10.5°Preaim
690msReaction time
30.7%T opening success
39.1%CT opening success
0.67Enemies flashed / flash
5.1%Flash assists
3.31HE damage / grenade
4.53Flashes / 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

    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 30.6817% — below the 40% mark we flag

Spend your practice time on Dust 2

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0421%14 Jun
nuke8–13-0.0613%16 May
mirage10–13-0.0115%16 May
cache13–100.0412%16 May
overpass13–40.0724%7 May
mirage13–2-0.0723%7 May
overpass16–14-0.0211%7 May
cache10–13-0.0218%7 May
nuke6–130.0619%28 Mar
mirage8–13-0.1114%28 Mar
anubis13–40.0621%8 Feb
nuke3–120.0616%8 Feb
nuke6–13-0.0029%8 Feb
nuke11–10.0333%7 Feb
mirage9–130.0018%7 Feb
dust210–13-0.0033%7 Feb
nuke13–7-0.0310%7 Feb
dust26–13-0.0724%7 Feb
nuke13–10-0.0117%28 Jan
nuke8–130.0029%15 Jan
dust213–40.0223%15 Jan
overpass13–60.0128%15 Jan
mirage13–6-0.0624%11 Jan
mirage13–10-0.0611%11 Jan
overpass5–13-0.0227%10 Jan
ancient13–40.0617%8 Jan
ancient10–13-0.0021%8 Jan
dust23–130.0118%8 Jan
nuke1–13-0.0316%8 Jan
overpass9–13-0.0219%8 Jan
ancient6–13-0.0621%6 Jan
inferno13–60.0445%4 Jan
mirage2–13-0.0532%4 Jan
inferno16–130.0112%21 Dec
ancient6–13-0.0111%25 Oct
anubis12–120.0415%19 Aug
ancient10–13-0.0428%10 Aug
dust211–13-0.0419%9 Aug
ancient13–20.0612%4 Aug
dust25–130.0825%1 Aug
overpass11–130.0021%31 Jul
dust210–13-0.0227%5 Jul
train8–13-0.0112%4 Jul
dust213–8-0.0317%1 Jul
ancient8–130.0323%1 Jul
nuke4–13-0.0154%1 Jul
train6–13-0.0218%1 Jul
mirage13–80.0412%26 Jun
ancient13–50.0413%26 Jun
train10–13-0.0234%26 Jun
nuke13–80.0126%26 Jun
nuke8–13-0.0617%21 Jun
mirage13–9-0.028%21 Jun
ancient14–160.0527%21 Jun
nuke13–40.0125%12 Jun
ancient9–130.0320%12 Jun
train13–10-0.0623%12 Jun
mirage10–13-0.0016%12 Jun
nuke13–40.0323%12 Jun
ancient13–80.0425%5 Jun
nuke7–0-0.0420%5 Jun
inferno13–10.0220%5 Jun
anubis4–13-0.0325%25 May
dust211–130.0112%22 May
ancient13–5-0.0117%22 May
train7–130.0224%19 May
nuke13–30.0318%16 May
ancient8–13-0.0422%1 May
nuke7–13-0.1015%1 May
train13–50.0335%1 May
nuke9–13-0.089%24 Apr
train13–4-0.0319%24 Apr
ancient13–100.0123%2 Apr
vertigo12–12-0.0611%2 Apr
nuke13–6-0.0110%2 Apr
nuke6–13-0.0415%8 Mar
ancient8–130.0014%17 Feb
train7–13-0.0617%17 Feb
vertigo13–80.0433%15 Feb
nuke13–3-0.0131%9 Feb
nuke12–12-0.0031%9 Feb
anubis13–60.0727%4 Feb
inferno13–9-0.0424%19 Jan
nuke4–13-0.0535%19 Jan
vertigo13–8-0.0210%28 Dec
mirage13–70.0017%20 Dec
nuke13–5-0.0519%15 Oct
vertigo9–13-0.0028%5 Oct
vertigo5–13-0.0614%3 Oct
anubis6–13-0.068%3 Oct
anubis10–13-0.0123%3 Oct
nuke11–13-0.0224%3 Oct
ancient10–130.0414%3 Oct
vertigo13–7-0.0715%3 Oct
anubis11–130.0413%3 Oct
dust26–130.0530%3 Oct
vertigo12–120.0321%26 Sept
ancient13–3-0.0212%26 Sept
nuke13–110.0014%26 Sept
ancient13–6-0.017%19 Sept

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 →