Jayson Gews

Jayson Gews — CS2 Stats

76561199077027372[U:1:1116761644]Steam profile ↗✓ No bans

221Tracked matches37%Win rate2021Tracked since
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGJayson GewsFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning41
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY50437Last 10050%Win rateLWLWLWLWLW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating

Player DNA

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

Aim6.3
Aggression6.0
Utility4.3
Positioning4.1
Opening Duels1.7

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 83% playstyle similarity

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

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. 689ms 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

Aim6.3
Positioning4.1
Utility4.3
Mechanics7.8
Opening Duels1.7
Win Impact0.7

Composite 4.8/10 (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-0.01−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.01
Reaction time686ms+34ms
first ⅓ avg 652ms → last ⅓ avg 686ms
Headshot accuracy26.1%+2.7%
first ⅓ avg 23.4% → last ⅓ avg 26.1%

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

0.27Best rating — overpass 13–2
162Biggest win — inferno
8Longest win streak
15In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 67% over 9dust2Weakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C26101638%0.02
mirageB23111248%0.04
nukeC125742%0.05
infernoS96367%0.02
ancientA74357%0.04
overpassS64267%0.05
cache42250%0.02
vertigo31233%0.04
anubis21150%0.02
thera220100%0.05
mills220100%0.13
office21150%0.10
train1010%-0.11
memento110100%0.10

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Dust 2 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.

24.6%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.0%Spray accuracy
84.9%Counter-strafing
11.2°Preaim
689msReaction time
39.9%T opening success
33.7%CT opening success
0.62Enemies flashed / flash
4.3%Flash assists
12.66HE damage / grenade
9.12Flashes / 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 39.9438% — 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.

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient4–13-0.01100%21 Aug
dust213–1-0.0414%21 Aug
dust22–2-0.0567%21 Aug
cache13–80.0328%26 Jul
nuke3–13-0.057%26 Jul
mirage13–100.0822%26 Jul
cache5–13-0.0321%26 Jul
cache13–90.0320%26 Jul
cache9–130.0513%26 Jul
overpass13–8-0.058%25 May
train2–13-0.117%25 Apr
mirage3–13-0.0119%24 Apr
dust213–60.0712%24 Apr
vertigo7–13-0.0115%14 Apr
dust212–12-0.0117%14 Apr
vertigo13–3-0.0011%13 Apr
dust24–130.0128%19 Mar
mirage9–13-0.0719%19 Mar
mirage12–12-0.0118%17 Mar
dust211–130.0120%15 Mar
dust213–4-0.0650%15 Mar
dust20–7-0.0419%11 Mar
ancient13–100.0119%18 Apr
nuke11–13-0.0539%7 Apr
dust23–130.0021%7 Apr
mirage5–13-0.0656%7 Apr
dust213–11-0.0023%1 Feb
nuke12–120.0018%1 Feb
nuke1–130.0043%1 Feb
mirage1–5-0.0933%18 Sept
nuke13–80.1138%18 Sept
overpass8–130.0127%18 Sept
dust22–8-0.028%4 Sept
mirage13–80.0838%4 Sept
dust212–120.0838%7 Aug
dust212–12-0.0129%7 Aug
anubis13–40.1216%31 Jul
dust22–40.1567%28 Jul
dust28–130.1415%19 Jul
dust213–30.1934%19 Jul
mirage5–13-0.0226%18 Jul
dust213–20.0327%17 Jul
anubis4–13-0.0824%5 Jul
thera13–20.0138%29 Jun
dust21–5-0.160%28 Jun
mirage8–130.0923%28 Jun
thera13–50.0940%28 Jun
nuke13–20.2127%28 Jun
nuke13–90.0018%28 Jun
overpass13–20.2721%28 Jun
ancient13–70.1538%28 Jun
inferno7–130.038%28 Jun
dust213–80.1834%28 Jun
mirage13–70.1324%28 Jun
mirage13–50.2540%27 Jun
memento9–10.1028%27 Jun
mills13–20.1127%27 Jun
mills13–90.1414%26 Jun
ancient13–50.0825%26 Jun
overpass13–40.1618%25 Jun
mirage9–130.0422%25 Jun
dust213–90.0244%25 Jun
inferno13–10.0826%25 Jun
office5–130.0832%25 Jun
ancient11–130.1729%23 Jun
nuke4–13-0.0015%20 Jun
dust23–13-0.0030%20 Jun
ancient13–10.0424%19 Jun
dust213–40.0821%19 Jun
dust213–30.0936%17 Jun
office13–10.1219%1 Jun
mirage13–40.0714%1 Jun
inferno12–120.0622%29 May
nuke13–50.2110%27 May
nuke13–90.0816%27 May
nuke4–130.0321%23 May
mirage13–20.2321%23 May
nuke2–130.0324%19 May
ancient0–13-0.149%19 May
mirage13–100.0416%14 May
mirage13–40.1319%3 May
mirage13–60.0430%1 May
mirage13–100.0214%1 May
dust22–13-0.0023%1 May
inferno13–20.0132%27 Apr
inferno13–5-0.0516%27 Apr
mirage6–130.0224%14 Mar
dust22–130.0320%14 Mar
vertigo8–80.1527%11 Jun
inferno3–9-0.1014%24 May
mirage2–16-0.0418%15 May
inferno9–40.0214%24 Dec
inferno16–20.1011%24 Dec
mirage16–7-0.0317%22 Dec
overpass9–4-0.0519%22 Dec
inferno16–80.0612%22 Dec
mirage0–6-0.05100%5 Dec
dust23–9-0.0980%2 Dec
overpass8–16-0.0411%3 Nov
mirage12–160.0120%12 Oct

Match data via Leetify.

Milestones

100 Matches
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