EL NIÑO GUEI

EL NIÑO GUEI — CS2 Stats

IT76561198112819087[U:1:152553359]Steam profile ↗✓ No bans

1,123Tracked matches63%Win rate2021Tracked since
2,824Hours in CS68Hrs last 2 wks
CSDB Rating5.5 SolidHybrid Rifler
Premier CS Rating18,696Purple band · top ~13.7% of ranked players (population est.)
CSDB Leaderboard#20322 of 44100 tracked
FaceitLevel 3 · 736 ELOTop 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 medianLevel 4 medianvs Level 4
Headshot rate50.7%42.2%42.7%above
Shot accuracy6.8%11.9%10.8%4.0% short
Kill/death ratio0.780.981.000.21 short
Match win rate39.9%43.6%44.1%4.2% short

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEL NIÑO GUEIFACEITLevel 3 · 736 ELOSTANDINGTop 90.6% of rankedPREMIER18,696 · Purple bandcsdb.gg/stats

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Performance scores

Aim66
Positioning37
Utility54

0–100 skill scores via Leetify.

Recent form

HOT59383Last 10059%Win rateWLWLWWWWLW

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

Player DNA

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

Aim6.6
Aggression5.3
Utility5.4
Positioning3.7
Opening Duels1.4
Clutch3.6

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 606ms 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

Aim6.6
Positioning3.7
Utility5.4
Mechanics5.7
Opening Duels1.4
Win Impact9.4

Composite 5.5/10 (Solid), 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+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time606ms−63ms
first ⅓ avg 669ms → last ⅓ avg 606ms
Headshot accuracy20.5%−1.1%
first ⅓ avg 21.6% → last ⅓ avg 20.5%

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

0.19Best rating — inferno 9–4
131Biggest win — nuke
10Longest win streak
144In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 10nukeWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
infernoA27151256%-0.01
mirageB168850%-0.02
dust2B158753%-0.02
ancientS1410471%0.00
nukeB115645%0.02
cacheS108280%-0.02
anubisS64267%-0.01
train110100%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,365Lifetime kills
0.78K/D
3,559Matches
39.9%Match win rate
50.7%Headshot % · Top 25% of Level 3 players
6.8%Shot accuracy
5,804MVPs
1,411Hours (in match)
1,820Bombs planted
576Bombs defused

Most-used weapons

AK-4715,655
AWP4,440
MP92,478
FAMAS1,853
MAC-101,502

Lifetime map wins

7,355inferno
4,340dust2
2,002nuke
891train
735vertigo
49safehouse
43cbble
40office

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

Faceit stats

Combat

850Matches
47%Win rate
0.96Avg K/D
73.8ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage23849%0.9814.3
Dust218940%0.9213.6
Ancient11849%1.0315.7
Inferno11359%1.0714.8
Anubis7148%0.9614.0
Nuke6143%0.9014.0
Train2245%0.9513.7
Overpass956%0.9415.3

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.

19.4%Headshot accuracy
36.2%Accuracy (enemy spotted)
38.3%Spray accuracy
75.8%Counter-strafing
11.0°Preaim
606msReaction time
31.0%T opening success
40.1%CT opening success
0.49Enemies flashed / flash
4.3%Flash assists
6.54HE damage / grenade
11.83Flashes / 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 0.4885 — 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 31.0478% — 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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0512%27 Aug
mirage4–13-0.0713%26 Aug
inferno13–7-0.0515%24 Aug
anubis1–13-0.0525%24 Aug
dust213–10-0.0617%23 Aug
dust213–60.0528%23 Aug
cache13–100.0121%22 Aug
ancient13–11-0.069%22 Aug
dust28–13-0.0818%20 Aug
dust213–7-0.0827%20 Aug
mirage7–2-0.1220%19 Aug
mirage6–13-0.0331%18 Aug
dust25–13-0.0615%18 Aug
inferno13–10-0.036%18 Aug
dust24–130.0326%18 Aug
inferno13–90.0926%18 Aug
mirage13–10-0.0211%17 Aug
nuke13–70.0715%17 Aug
ancient13–7-0.0216%16 Aug
mirage9–13-0.1128%16 Aug
nuke16–140.0316%16 Aug
inferno3–9-0.0740%15 Aug
anubis13–90.0315%15 Aug
inferno13–20.0130%15 Aug
nuke13–70.0517%14 Aug
nuke9–13-0.0019%14 Aug
nuke13–10.1333%13 Aug
nuke1–9-0.0629%12 Aug
ancient11–13-0.0316%10 Aug
nuke7–130.1528%10 Aug
ancient13–20.1425%10 Aug
ancient11–13-0.0415%9 Aug
mirage13–11-0.0116%9 Aug
dust213–16-0.0225%8 Aug
inferno12–16-0.1316%8 Aug
inferno13–5-0.0316%6 Aug
inferno13–11-0.0521%6 Aug
nuke13–9-0.0219%6 Aug
dust213–8-0.0323%6 Aug
ancient13–20.0619%6 Aug
cache13–11-0.0225%5 Aug
ancient11–9-0.0017%5 Aug
dust212–3-0.016%5 Aug
train13–10-0.0621%4 Aug
ancient13–10-0.0315%2 Aug
cache9–13-0.0220%2 Aug
dust23–13-0.0614%2 Aug
dust26–130.0611%2 Aug
inferno13–5-0.0233%2 Aug
cache13–6-0.0019%2 Aug
inferno8–13-0.0821%2 Aug
mirage9–130.0114%1 Aug
dust213–6-0.059%1 Aug
ancient12–30.0112%29 Jul
mirage13–50.0331%28 Jul
ancient15–15-0.068%26 Jul
cache13–11-0.0424%26 Jul
cache13–6-0.0023%26 Jul
dust24–130.0114%26 Jul
inferno12–40.0332%25 Jul
anubis10–13-0.0029%25 Jul
anubis13–8-0.0625%25 Jul
dust213–11-0.0222%25 Jul
ancient13–6-0.0316%24 Jul
inferno13–40.0312%24 Jul
inferno8–80.0511%24 Jul
inferno9–40.1930%23 Jul
inferno13–100.1115%23 Jul
nuke7–13-0.1124%23 Jul
mirage13–11-0.0517%21 Jul
inferno4–90.0659%21 Jul
inferno16–14-0.0421%17 Jul
mirage10–13-0.068%12 Jul
mirage13–8-0.0010%11 Jul
cache8–13-0.1111%11 Jul
cache13–40.0238%11 Jul
cache13–8-0.0725%11 Jul
ancient13–100.0828%10 Jul
mirage13–100.0722%9 Jul
mirage11–130.0221%9 Jul
cache13–40.0431%9 Jul
nuke9–13-0.0524%9 Jul
inferno12–16-0.0318%9 Jul
nuke2–13-0.0114%5 Jul
inferno6–90.0316%5 Jul
anubis13–100.0122%4 Jul
inferno4–13-0.0116%24 Jun
anubis16–120.0219%22 Jun
mirage6–130.0019%18 Jun
inferno13–50.0318%7 Jun
inferno0–9-0.1627%3 Jun
inferno9–70.0116%1 Jun
inferno5–90.0226%1 Jun
inferno8–8-0.0822%31 May
inferno9–7-0.0820%30 May
mirage13–110.0428%29 May
mirage4–13-0.0419%28 May
dust213–10-0.0220%24 May
ancient12–160.0421%23 May
inferno7–9-0.0217%21 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →