MOJO PAIGAS

MOJO PAIGAS — CS2 Stats

EE76561198423574612[U:1:463308884]Steam profile ↗1 game ban

543Tracked matches64%Win rate2020Tracked since
CSDB Rating8.0 StrongOpening Duellist
Premier CS Rating25,637Top 10% of 211,827 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#15987 of 258689 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Apr 2026 (203 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

25,637Peak Premier in tracked matches
1,474Highest Faceit ELO seen on CSDB
21Days played since 2026-03-11

Faceit ELO

  • At peak — 1,474
  • Next: Level 8 at 1,531 — 57 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • At peak — 25,637
  • Next: Gold band at 30,000 — 4,363 to go
  • Reached: Red band · Pink band · Purple band · Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGMOJO PAIGASPREMIER25,637 · Red bandPEAK ELO1,474csdb.gg/stats

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Performance scores

Aim93
Positioning70
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY66–24–10Last 10066%Win rateLLWTWLLWLW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −6.0pp headshot accuracy · +62ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 38%
  • Avg reaction 667ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 40%
  • Avg reaction 728ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 43%
  • Avg reaction 697ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+2.6 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.3
Utility2.9
Positioning7.0
Opening Duels8.1
Clutch4.2

Sharp aimer

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

donk

Plays most like donk 76% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution.

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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 707ms 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

Aim9.3
Positioning7.0
Utility2.9
Mechanics8.4
Opening Duels7.7
Win Impact9.8

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.05
Reaction time723ms−19ms
first ⅓ avg 741ms → last ⅓ avg 723ms
Headshot accuracy41.8%−0.1%
first ⅓ avg 41.9% → last ⅓ avg 41.8%

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.

Personal bests

0.20Best match rating · 13–2 · mirage, 22 Mar →
69%Best headshot accuracy · 9–13 · nuke, 10 Apr →
484msFastest reaction time · 3–13 · anubis, 20 Mar →
13–1Biggest win · anubis, 23 Mar →

Across the last 100 tracked matches.

Highlights

19Longest win streak
L2Current streak
4–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

italyBest map · 100% over 5wardenWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
overpassS119–282%0.03
mirageS98–189%0.06
nukeA95–456%0.06
vertigoS97–278%0.06
infernoC94–544%-0.01
officeS87–188%0.03
anubisB84–450%0.03
ancientA74–357%0.07
dust2C73–443%0.06
italyS55–0100%0.03
wardenC52–340%0.04
stronghold—44–0100%0.08
cache—31–233%0.00
train—31–233%0.06
alpine—22–0100%0.07
boulder—10–10%0.01

Across the last 100 tracked matches.

Faceit stats

Combat

732Matches
54%Win rate
1.16Avg K/D
98.5ADR
50%Headshot %

Clutches & streaks

41%1v1 clutch win
22%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3070%1.3618.7
Anubis2282%1.6923.4
Overpass1573%1.6322.1
Nuke1450%1.2319.6
Inferno520%0.8814.2
Ancient367%1.2319.3
Cache10%0.8815.0
Dust21100%1.0019.0

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.

42.1%Headshot accuracy
38.5%Accuracy (enemy spotted)
42.0%Spray accuracy
87.6%Counter-strafing
9.8°Preaim
707msReaction time
56.7%T opening success
64.9%CT opening success
0.45Enemies flashed / flash
4.8%Flash assists
7.20HE damage / grenade
7.28Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.2006ms — above the 700ms mark we flag

    Aim Training →
  2. 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 0.4498 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.0334%26 Oct →
mirage14–160.0429%26 Oct →
nuke9–10.1433%22 Oct →
nuke8–8-0.0950%22 Oct →
nuke9–10.1245%22 Oct →
overpass6–9-0.0931%22 Oct →
ancient5–130.0758%24 Sept →
nuke9–40.1642%23 Sept →
boulder9–130.0134%13 Sept →
cache13–110.0341%6 May →
cache9–130.0235%6 May →
mirage13–20.1435%10 Apr →
italy13–100.1167%10 Apr →
overpass13–9-0.0132%10 Apr →
office13–100.0145%10 Apr →
nuke9–130.0669%10 Apr →
vertigo13–70.1047%10 Apr →
vertigo13–70.1045%10 Apr →
vertigo13–50.0940%9 Apr →
anubis13–100.0441%7 Apr →
mirage13–50.0223%6 Apr →
dust29–130.1038%6 Apr →
office13–50.0439%6 Apr →
anubis3–13-0.0232%6 Apr →
inferno9–13-0.0134%30 Mar →
vertigo12–120.0849%30 Mar →
office13–50.0761%30 Mar →
overpass13–60.1128%30 Mar →
anubis3–130.0538%30 Mar →
dust213–5-0.0236%30 Mar →
ancient13–60.0048%30 Mar →
stronghold13–20.0649%30 Mar →
overpass13–90.0947%30 Mar →
nuke13–90.0541%30 Mar →
train12–120.0545%30 Mar →
warden11–130.0654%29 Mar →
office13–40.0739%29 Mar →
warden13–80.0138%24 Mar →
anubis13–3-0.0015%23 Mar →
ancient13–110.1029%23 Mar →
overpass13–9-0.0121%23 Mar →
overpass9–60.0736%23 Mar →
dust213–110.0737%23 Mar →
dust213–20.1926%23 Mar →
anubis13–10.0832%23 Mar →
mirage13–80.0312%23 Mar →
mirage13–50.0834%23 Mar →
train13–70.0540%23 Mar →
alpine13–50.1736%23 Mar →
italy13–4-0.0143%23 Mar →
office13–100.0124%23 Mar →
ancient13–30.1148%23 Mar →
overpass13–70.0635%23 Mar →
warden13–50.0840%23 Mar →
vertigo13–7-0.0046%23 Mar →
dust27–13-0.0329%23 Mar →
inferno13–10-0.0129%23 Mar →
inferno7–9-0.0258%22 Mar →
inferno7–9-0.0220%22 Mar →
nuke7–90.0828%22 Mar →
warden12–120.1053%22 Mar →
ancient12–120.1548%22 Mar →
mirage13–20.2031%22 Mar →
mirage13–80.0744%22 Mar →
office13–50.0142%21 Mar →
italy13–2-0.0133%21 Mar →
dust212–120.0751%21 Mar →
nuke13–60.0563%21 Mar →
anubis13–90.1153%21 Mar →
stronghold13–5-0.0157%21 Mar →
inferno13–8-0.0165%21 Mar →
inferno13–5-0.0732%21 Mar →
vertigo13–8-0.0545%21 Mar →
mirage13–70.0256%21 Mar →
overpass13–100.0325%21 Mar →
italy11–10.0141%20 Mar →
warden1–13-0.0643%20 Mar →
alpine13–10-0.0339%20 Mar →
ancient13–30.0835%20 Mar →
nuke2–13-0.0243%20 Mar →
office7–13-0.0660%20 Mar →
mirage13–10-0.0227%20 Mar →
train9–130.1045%20 Mar →
anubis3–130.0243%20 Mar →
inferno12–120.0643%20 Mar →
dust28–130.0237%20 Mar →
office13–60.1148%18 Mar →
italy13–110.0435%17 Mar →
vertigo12–12-0.0135%17 Mar →
inferno13–90.0329%17 Mar →
ancient11–13-0.0236%17 Mar →
vertigo13–30.1742%17 Mar →
stronghold13–30.1043%17 Mar →
vertigo13–100.1032%17 Mar →
inferno10–130.0162%12 Mar →
overpass13–20.0535%11 Mar →
anubis12–12-0.0628%11 Mar →
stronghold13–80.1749%11 Mar →
overpass12–120.0429%11 Mar →
overpass13–20.0228%11 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches19-Win StreakAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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