syNb0b~

syNb0b~ — CS2 Stats

DE76561197981816862[U:1:21551134]Steam profile ↗

2,956Tracked matches53%Win rate2020Tracked since
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating23,166Top 50% of 17,162 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#7768 of 34974 tracked
FaceitLevel 10 · 2,173 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGsyNb0b~FACEITLevel 10 · 2,173 ELOSTANDINGTop 12.4% of rankedPREMIER23,166 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning50
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY55432Last 10055%Win rateWLWLLWWWLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.1
Aggression4.8
Utility6.9
Positioning5.0
Opening Duels1.8

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 92% playstyle similarity

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

Where you differ: 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. 602ms 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

Aim7.1
Positioning5.0
Utility6.9
Mechanics6.6
Opening Duels1.8
Win Impact6.1

Composite 6.1/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time599ms−44ms
first ⅓ avg 643ms → last ⅓ avg 599ms
Headshot accuracy16.3%−1.5%
first ⅓ avg 17.8% → last ⅓ avg 16.3%

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

0.12Best rating — inferno 13–2
130Biggest win — inferno
5Longest win streak
87In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 70% over 30nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS3021970%-0.00
ancientA2213959%0.01
dust2C167944%-0.00
anubisA106460%0.00
cacheC94544%-0.02
nukeD61517%-0.00
mirage42250%0.00
overpass21150%-0.04
alpine1010%0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). 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.

16.0%Headshot accuracy
38.0%Accuracy (enemy spotted)
39.5%Spray accuracy
79.5%Counter-strafing
10.2°Preaim
602msReaction time
30.0%T opening success
44.2%CT opening success
0.58Enemies flashed / flash
10.6%Flash assists
9.61HE damage / grenade
9.49Flashes / 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 30.0325% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis16–13-0.0316%28 Aug
dust21–13-0.0718%24 Aug
ancient13–10-0.0211%24 Aug
inferno14–16-0.0521%22 Aug
cache9–13-0.0413%21 Aug
ancient13–20.0913%21 Aug
anubis13–10-0.0111%21 Aug
cache13–70.0313%21 Aug
dust29–13-0.0210%21 Aug
ancient13–100.019%17 Aug
inferno13–8-0.0015%13 Aug
ancient13–110.0112%13 Aug
dust211–130.018%13 Aug
cache13–10-0.0316%9 Aug
dust25–13-0.0519%8 Aug
mirage13–3-0.006%8 Aug
inferno13–8-0.0221%8 Aug
dust214–16-0.0019%8 Aug
ancient9–130.0620%6 Aug
ancient8–13-0.0220%6 Aug
inferno13–16-0.0416%6 Aug
ancient13–30.0320%31 Jul
inferno13–9-0.0014%30 Jul
inferno13–10-0.0419%30 Jul
ancient5–13-0.0513%30 Jul
inferno16–130.0117%27 Jul
ancient13–80.0627%27 Jul
cache8–130.0116%27 Jul
inferno10–13-0.0726%27 Jul
mirage4–13-0.0221%26 Jul
inferno16–14-0.0218%26 Jul
cache13–5-0.0718%26 Jul
anubis13–60.0824%25 Jul
inferno8–13-0.0125%24 Jul
anubis10–130.0318%22 Jul
ancient9–13-0.0218%22 Jul
inferno7–13-0.0119%22 Jul
anubis13–80.0310%22 Jul
dust213–60.0623%22 Jul
ancient8–13-0.0515%20 Jul
inferno14–16-0.0514%20 Jul
inferno13–40.0521%20 Jul
inferno10–13-0.0119%20 Jul
anubis13–9-0.0213%19 Jul
ancient13–3-0.0320%19 Jul
ancient5–13-0.0433%19 Jul
ancient4–40.0814%19 Jul
nuke1–13-0.0238%18 Jul
cache8–13-0.0410%18 Jul
dust213–40.0014%18 Jul
anubis15–15-0.0215%18 Jul
cache7–13-0.0624%18 Jul
ancient13–30.025%18 Jul
nuke11–130.0119%16 Jul
inferno13–11-0.0215%16 Jul
dust216–14-0.0225%14 Jul
dust210–130.0620%14 Jul
dust213–100.0120%13 Jul
ancient8–13-0.0519%13 Jul
inferno13–6-0.0817%13 Jul
cache7–13-0.019%10 Jul
ancient13–80.0814%10 Jul
dust24–13-0.068%10 Jul
ancient16–13-0.0215%10 Jul
ancient13–5-0.0316%6 Jul
inferno13–00.0656%6 Jul
inferno10–13-0.0211%5 Jul
nuke4–13-0.0518%5 Jul
ancient15–15-0.0215%3 Jul
anubis13–5-0.0117%3 Jul
inferno13–60.0324%3 Jul
inferno13–30.0317%3 Jul
ancient11–10.0220%3 Jul
nuke5–130.0914%28 Jun
ancient13–60.0322%28 Jun
inferno13–11-0.0521%27 Jun
inferno13–3-0.0422%27 Jun
nuke7–9-0.0611%27 Jun
nuke9–70.0018%27 Jun
overpass4–13-0.043%27 Jun
dust213–80.0326%27 Jun
dust213–3-0.0113%27 Jun
cache13–3-0.0131%27 Jun
inferno13–60.0227%27 Jun
inferno13–7-0.0127%26 Jun
anubis3–13-0.0228%26 Jun
inferno13–11-0.0410%24 Jun
overpass13–7-0.046%23 Jun
inferno13–40.0724%23 Jun
inferno10–130.0317%21 Jun
dust216–120.0522%21 Jun
mirage5–130.0113%3 Jun
alpine6–130.0315%3 Jun
inferno13–20.1219%2 Jun
dust210–13-0.0010%2 Jun
inferno13–110.0418%1 Jun
dust25–13-0.0313%1 Jun
mirage13–80.0211%1 Jun
anubis5–13-0.0317%29 May
inferno13–40.0717%29 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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