Gajos

Gajos — CS2 Stats

PL76561198061598540[U:1:101332812]Steam profile ↗✓ No bans

1,166Tracked matches43%Win rate2024Tracked since
3,638Hours in CS5Hrs last 2 wks
CSDB Rating3.6 Learning
Premier CS Rating11,939Blue band · top ~44.6% of ranked players (population est.)
CSDB Leaderboard#22334 of 32005 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate38.3%42.5%44.2%5.9% short
Shot accuracy5.1%10.9%11.2%6.2% short
Kill/death ratio0.830.991.040.21 short
Match win rate40.3%44.2%45.3%5.0% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGGajosFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,939 · Blue bandcsdb.gg/stats

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Performance scores

Aim33
Positioning42
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY53452Last 10053%Win rateWLLWWLWWLL

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

Player DNA

Aim3.3
Aggression6.1
Utility5.9
Positioning4.2
Opening Duels1.4
Clutch3.0

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, 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

T-side openings. Opening success drops from 50% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 638ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.3
Positioning4.2
Utility5.9
Mechanics3.7
Opening Duels2.5
Win Impact2.6

Composite 3.6/10 (Learning), 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-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time630ms+3ms
first ⅓ avg 627ms → last ⅓ avg 630ms
Headshot accuracy16.1%+1.2%
first ⅓ avg 14.9% → last ⅓ avg 16.1%

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

0.12Best rating — ancient 13–5
130Biggest win — nuke
7Longest win streak
65In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 67% over 12cacheWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientB20101050%-0.00
anubisA1710759%-0.03
infernoA1610663%-0.01
nukeB137654%-0.00
mirageS128467%-0.03
cacheC114736%-0.01
dust2C104640%0.02
overpass1010%0.00

Across the last 100 tracked matches.

Lifetime stats

67,401Lifetime kills
0.83K/D
4,455Matches
40.3%Match win rate
38.3%Headshot %
5.1%Shot accuracy
6,601MVPs
1,660Hours (in match)
3,045Bombs planted
812Bombs defused

Most-used weapons

AK-4714,410
AWP4,206
MAC-104,029
MP92,995
MP72,443
P902,413

Lifetime map wins

9,810dust2
4,465inferno
3,393nuke
1,159vertigo
557train
392office
353cbble
80italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

743Matches
47%Win rate
0.97Avg K/D
79.0ADR
42%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage23248%0.9312.9
Dust215541%0.9814.6
Anubis10051%1.0114.4
Ancient7752%0.9814.7
Inferno7152%1.0115.1
Nuke5347%0.9413.3
Vertigo3639%0.9213.0
Train1250%0.9614.1

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.

15.4%Headshot accuracy
26.9%Accuracy (enemy spotted)
32.2%Spray accuracy
66.5%Counter-strafing
10.7°Preaim
638msReaction time
20.8%T opening success
50.3%CT opening success
0.43Enemies flashed / flash
5.6%Flash assists
9.30HE damage / grenade
15.26Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4314 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 20.813% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–2-0.045%29 Aug
mirage6–13-0.068%29 Aug
ancient8–13-0.0016%26 Aug
nuke13–5-0.1024%23 Aug
ancient13–60.0210%23 Aug
dust24–110.0219%23 Aug
nuke13–20.1015%22 Aug
inferno5–40.0922%22 Aug
nuke10–13-0.0227%11 Aug
dust210–130.0420%11 Aug
dust210–13-0.0118%10 Aug
nuke13–00.068%10 Aug
inferno13–16-0.029%9 Aug
ancient13–30.0425%9 Aug
dust28–130.0113%9 Aug
nuke15–150.0316%9 Aug
anubis13–80.0615%9 Aug
dust213–90.0512%9 Aug
inferno13–10.0311%9 Aug
mirage4–13-0.0633%8 Aug
anubis1–13-0.127%8 Aug
anubis12–16-0.0220%7 Aug
anubis13–16-0.0514%7 Aug
inferno7–13-0.1116%31 Jul
anubis16–13-0.0411%31 Jul
nuke15–150.0214%31 Jul
anubis10–13-0.0012%31 Jul
dust23–13-0.0625%31 Jul
ancient6–130.0117%31 Jul
cache16–120.0210%29 Jul
ancient3–13-0.0331%29 Jul
anubis13–7-0.0217%28 Jul
dust213–30.0112%28 Jul
nuke4–13-0.073%27 Jul
cache10–13-0.0419%26 Jul
mirage8–13-0.0514%26 Jul
ancient11–13-0.0412%26 Jul
nuke13–60.0217%26 Jul
inferno13–60.0220%26 Jul
ancient12–16-0.069%25 Jul
ancient13–110.0115%25 Jul
nuke6–0-0.0119%25 Jul
ancient4–13-0.0726%25 Jul
ancient6–13-0.0713%23 Jul
mirage16–13-0.0210%23 Jul
inferno13–70.0110%23 Jul
mirage13–50.0719%21 Jul
anubis2–13-0.0410%21 Jul
ancient3–13-0.068%20 Jul
inferno5–13-0.037%20 Jul
nuke13–8-0.015%20 Jul
anubis9–13-0.0311%19 Jul
inferno13–6-0.0514%18 Jul
cache5–13-0.0411%18 Jul
cache13–7-0.009%18 Jul
nuke13–7-0.0213%18 Jul
cache13–40.0910%18 Jul
inferno4–13-0.095%18 Jul
inferno6–130.0215%16 Jul
ancient13–70.0513%16 Jul
anubis13–6-0.0614%16 Jul
anubis13–5-0.0715%15 Jul
inferno13–70.0415%15 Jul
cache9–13-0.0121%15 Jul
cache9–13-0.058%14 Jul
mirage16–13-0.0914%14 Jul
inferno8–13-0.0119%13 Jul
anubis13–10-0.056%13 Jul
mirage13–70.038%12 Jul
anubis13–5-0.0519%12 Jul
ancient13–110.0012%12 Jul
mirage6–13-0.0818%12 Jul
cache13–16-0.0311%12 Jul
ancient13–5-0.0114%12 Jul
cache11–13-0.0316%12 Jul
ancient13–50.1221%12 Jul
inferno13–50.0015%11 Jul
cache11–13-0.0113%11 Jul
ancient13–10.1112%11 Jul
ancient11–13-0.073%9 Jul
dust28–130.0421%9 Jul
cache13–11-0.0530%8 Jul
anubis13–70.0520%8 Jul
mirage13–20.0016%8 Jul
inferno13–5-0.0521%7 Jul
nuke14–160.0119%6 Jul
overpass8–130.0017%6 Jul
anubis13–11-0.049%4 Jul
ancient9–13-0.015%4 Jul
mirage13–9-0.0412%4 Jul
nuke9–13-0.028%3 Jul
anubis13–70.039%2 Jul
inferno13–40.0412%2 Jul
dust213–90.0414%2 Jul
ancient13–40.0227%2 Jul
dust213–50.0511%1 Jul
ancient13–8-0.0120%1 Jul
inferno13–11-0.0321%30 Jun
anubis10–13-0.0313%30 Jun
mirage13–10-0.0119%29 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →