加布里埃尔

加布里埃尔 — CS2 Stats

PL76561198875327029[U:1:915061301]Steam profile ↗✓ No bans

281Tracked matches55%Win rate2021Tracked since
CSDB Rating5.5 SolidPassive Rifler
Premier CS Rating20,754Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.7% of ranked players (population est.)
CSDB Leaderboard#18534 of 54539 tracked
Ladder ranks via Leetify

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CSDB.GG加布里埃尔PREMIER20,754 · Pink bandcsdb.gg/stats

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Performance scores

Aim68
Positioning40
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY59374Last 10059%Win rateLWLLWTWWLL

Last 10 vs previous 10: -50pp win rate · -0.04 avg rating

Player DNA

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

Aim6.8
Aggression3.1
Utility6.2
Positioning4.0
Opening Duels0.0

Strong CT-side opener

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 80% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 42% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.8
Positioning4.0
Utility6.2
Mechanics5.2
Opening Duels1.5
Win Impact6.7

Composite 5.5/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time539ms−49ms
first ⅓ avg 589ms → last ⅓ avg 539ms
Headshot accuracy20.0%+2.3%
first ⅓ avg 17.7% → last ⅓ avg 20.0%

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

0.18Best rating — mirage 13–2
130Biggest win — ancient
7Longest win streak
105In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 69% over 13infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA30171357%0.00
dust2A1710759%0.02
ancientA169756%-0.01
nukeS139469%0.02
anubisS128467%0.00
infernoC73443%0.00
cache43175%0.06
overpass1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno 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.

19.9%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.3%Spray accuracy
73.3%Counter-strafing
9.0°Preaim
543msReaction time
13.6%T opening success
41.8%CT opening success
0.52Enemies flashed / flash
5.4%Flash assists
8.44HE damage / grenade
19.19Flashes / 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 13.6033% — below the 40% mark we flag

Spend your practice time on Inferno

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0312%30 Aug
mirage13–10-0.0120%30 Aug
dust29–130.0520%29 Aug
anubis10–13-0.0720%28 Aug
dust213–60.0113%27 Aug
mirage15–15-0.0216%27 Aug
nuke13–80.0428%27 Aug
ancient13–00.0311%27 Aug
cache10–13-0.0020%26 Aug
dust28–13-0.0131%26 Aug
nuke13–50.0510%26 Aug
mirage13–20.1825%26 Aug
mirage13–8-0.0613%25 Aug
mirage13–60.0634%25 Aug
dust213–50.0426%25 Aug
dust213–10-0.0426%25 Aug
mirage13–11-0.0219%25 Aug
nuke6–13-0.0331%25 Aug
mirage13–70.1013%24 Aug
ancient13–110.0616%24 Aug
dust211–130.0321%23 Aug
ancient6–13-0.0816%23 Aug
ancient9–130.0324%22 Aug
ancient8–13-0.0720%18 Aug
anubis13–10-0.0314%18 Aug
anubis3–13-0.076%18 Aug
mirage6–13-0.0818%16 Aug
mirage16–14-0.0325%16 Aug
inferno4–13-0.0319%16 Aug
dust213–40.0321%16 Aug
mirage10–130.0228%15 Aug
anubis16–13-0.0214%15 Aug
dust213–50.0727%15 Aug
mirage13–10-0.0141%14 Aug
ancient13–7-0.0229%14 Aug
nuke13–160.0220%14 Aug
nuke1–13-0.0412%12 Aug
dust213–1-0.0129%11 Aug
mirage13–70.0220%11 Aug
ancient4–13-0.0716%11 Aug
anubis13–100.0823%10 Aug
dust210–130.0612%10 Aug
inferno13–110.0519%9 Aug
nuke13–110.0424%9 Aug
mirage13–11-0.0219%8 Aug
dust211–13-0.0117%8 Aug
inferno16–13-0.0322%7 Aug
nuke13–3-0.039%6 Aug
mirage13–110.0219%29 Jul
dust213–90.0728%29 Jul
nuke13–110.0612%29 Jul
ancient13–9-0.0314%28 Jul
mirage13–110.0215%27 Jul
inferno6–13-0.0822%27 Jul
ancient11–130.0013%25 Jul
nuke13–50.0718%25 Jul
anubis13–60.039%23 Jul
cache13–80.0524%23 Jul
mirage13–50.0023%22 Jul
dust26–130.0521%20 Jul
cache13–80.0813%20 Jul
dust213–110.0014%19 Jul
cache13–80.1028%18 Jul
dust25–13-0.0516%18 Jul
ancient14–16-0.0017%14 May
mirage7–13-0.0218%13 May
mirage15–15-0.0416%10 Apr
mirage6–130.0322%10 Apr
nuke5–13-0.0522%7 Apr
anubis9–13-0.0314%7 Apr
anubis13–40.0615%6 Apr
mirage13–80.0418%6 Apr
inferno9–130.0415%6 Apr
ancient13–90.0513%5 Apr
nuke6–30.0415%5 Apr
nuke13–70.0717%4 Apr
mirage13–30.0613%4 Apr
anubis13–9-0.0214%3 Apr
ancient16–130.0123%3 Apr
mirage10–13-0.0518%2 Apr
ancient13–9-0.0113%2 Apr
anubis13–10.0822%31 Mar
nuke16–130.0419%30 Mar
mirage13–16-0.0521%29 Mar
mirage12–16-0.049%29 Mar
anubis13–100.0130%29 Mar
ancient13–50.069%28 Mar
overpass4–13-0.0317%28 Mar
ancient9–13-0.0722%28 Mar
dust213–5-0.0123%28 Mar
anubis15–150.0116%28 Mar
inferno15–150.0424%28 Mar
mirage9–13-0.0121%27 Mar
dust213–60.0713%27 Mar
mirage11–13-0.0311%27 Mar
mirage13–30.0018%27 Mar
mirage13–8-0.0124%27 Mar
mirage6–130.0013%27 Mar
inferno16–120.0022%26 Mar
ancient13–90.0216%26 Mar

Match data via Leetify.

Milestones

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