gento

gento — CS2 Stats

AT76561199851951802[U:1:1891686074]Steam profile ↗✓ No bans

660Tracked matches61%Win rate2025Tracked since
818Hours in CS4Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
FaceitLevel 5 · 1,087 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,087 → 1,087
+1Tracked matches · now 660
0.0ppWin rate · 60.7% → 60.7%

Rating over time

Premier CS Rating: 16,508 +2,001 6 Jun – 10 Aug · 14 days played
14,50717,288peak 17,2886 Jun10 Aug
Faceit ELO: 1,087 +0 8 Sept – 14 Sept · 3 observations
1,0871,087peak 1,0878 Sept14 Sept
17,307Peak Premier in tracked matches
1,087Highest Faceit ELO seen on CSDB
40Days played since 2026-06-06

Faceit ELO

  • At peak — 1,087
  • Next: Level 6 at 1,201 — 114 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-08
  • Level 4 first seen 2026-09-08

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,636), 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 5 medianLevel 6 medianvs Level 6
Headshot rate56.3%43.8%44.8%above
Shot accuracy0.0%12.0%12.4%12.4% short
Kill/death ratio1.021.021.03meets
Match win rate46.4%44.7%45.2%above

This profile matches the typical Level 6 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGgentoFACEITLevel 5 · 1,087 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,087csdb.gg/stats

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Performance scores

Aim82
Positioning50
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLWWLWTLLWW

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −2.4pp headshot accuracy · +28ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 656ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 623ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 609ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.2
Utility4.2
Positioning5.0
Opening Duels2.9
Clutch2.6

Strong CT-side openerLimited utility dependence

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Positioning. Positioning trails aim by 33 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 50% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim8.2
Positioning5.0
Utility4.2
Mechanics7.5
Opening Duels2.5
Win Impact8.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time640ms+50ms
first ⅓ avg 590ms → last ⅓ avg 640ms
Headshot accuracy20.9%+4.4%
first ⅓ avg 16.4% → last ⅓ avg 20.9%

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

0.18Best match rating · 13–5 · dust2, 25 Jul →
100%Best headshot accuracy · 3–0 · vertigo, 4 Aug →
453msFastest reaction time · 13–4 · cache, 29 Aug →
13–0Biggest win · nuke, 2 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 67% over 9cacheWeakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
dust2C188–1044%0.01
cacheC176–1135%-0.01
infernoC146–843%0.01
anubisA106–460%0.00
nukeS96–367%0.05
mirageB84–450%-0.00
vertigoB63–350%0.02
officeS64–267%0.04
ancientA53–260%0.01
train—32–167%-0.01
eldorado—11–0100%0.11
shelter—10–10%-0.05
boulder—11–0100%0.04
overpass—10–10%0.04

Across the last 100 tracked matches.

Lifetime stats

19,193Lifetime kills
1.02K/D
1,152Matches
46.4%Match win rate · Top 50% of Level 5 players
56.3%Headshot % · Top 10% of Level 5 players
0.0%Shot accuracy
2,742MVPs
420Hours (in match)
1,202Bombs planted
326Bombs defused

Most-used weapons

Lifetime map wins

2,421dust2
1,809inferno
1,051nuke
283train
268vertigo
253office
11italy
3ar_shoots

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

Faceit stats

Combat

81Matches
51%Win rate
0.89Avg K/D
69.0ADR
43%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust23053%0.8412.1
Inferno1553%1.0215.3
Anubis1250%0.9113.7
Cache1250%0.8410.9
Mirage633%0.8014.5
Overpass425%0.7613.0
Ancient1100%1.0814.0
Nuke1100%1.3312.0

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.

18.6%Headshot accuracy
37.9%Accuracy (enemy spotted)
46.6%Spray accuracy
83.9%Counter-strafing
9.0°Preaim
622msReaction time
30.2%T opening success
50.0%CT opening success
0.60Enemies flashed / flash
2.0%Flash assists
7.60HE damage / grenade
4.26Flashes / 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. 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 30.1855% — 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.

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo9–130.0416%25 Sept →
cache13–3-0.0122%4 Sept →
office13–40.0630%4 Sept →
ancient11–13-0.049%3 Sept →
office13–70.0514%3 Sept →
office12–120.0922%2 Sept →
mirage7–13-0.058%1 Sept →
vertigo5–9-0.1013%30 Aug →
cache13–4-0.019%29 Aug →
dust213–10.0623%29 Aug →
cache4–40.0315%29 Aug →
office13–9-0.0444%25 Aug →
ancient13–110.0513%25 Aug →
dust24–13-0.049%10 Aug →
cache11–13-0.0111%6 Aug →
inferno13–50.0115%6 Aug →
cache12–120.0123%6 Aug →
nuke7–13-0.0315%5 Aug →
ancient13–70.0615%4 Aug →
dust23–13-0.0328%4 Aug →
dust23–13-0.0913%4 Aug →
anubis13–60.018%4 Aug →
vertigo13–90.0917%4 Aug →
vertigo3–00.05100%4 Aug →
dust28–130.0224%3 Aug →
dust213–40.0632%3 Aug →
mirage13–3-0.0113%3 Aug →
office11–13-0.0711%3 Aug →
anubis13–3-0.0324%3 Aug →
mirage13–10.0427%2 Aug →
nuke13–00.1728%2 Aug →
inferno6–13-0.0121%1 Aug →
anubis13–50.0719%1 Aug →
dust27–70.0918%30 Jul →
anubis9–13-0.0313%30 Jul →
vertigo13–10-0.0317%29 Jul →
cache5–13-0.0119%29 Jul →
anubis4–13-0.0710%29 Jul →
inferno9–00.1022%29 Jul →
dust216–14-0.0114%28 Jul →
nuke9–60.0922%27 Jul →
nuke9–50.0915%27 Jul →
inferno3–9-0.1117%27 Jul →
anubis13–110.0111%27 Jul →
nuke13–9-0.0116%27 Jul →
ancient10–13-0.0512%27 Jul →
dust213–50.1821%25 Jul →
mirage12–160.0111%25 Jul →
mirage16–14-0.0219%24 Jul →
anubis8–13-0.0229%23 Jul →
cache13–80.0218%23 Jul →
anubis13–50.0129%22 Jul →
ancient13–20.0423%21 Jul →
inferno5–9-0.129%20 Jul →
nuke8–80.1424%20 Jul →
cache13–7-0.0016%20 Jul →
anubis13–110.0619%19 Jul →
nuke13–0-0.0163%19 Jul →
anubis15–150.019%19 Jul →
cache4–13-0.0419%16 Jul →
dust29–13-0.0312%16 Jul →
cache9–13-0.0514%16 Jul →
train13–8-0.0319%16 Jul →
nuke7–9-0.097%13 Jul →
inferno9–50.1614%13 Jul →
inferno5–9-0.0113%13 Jul →
inferno5–90.0212%13 Jul →
vertigo6–90.0517%13 Jul →
inferno5–13-0.0314%12 Jul →
dust213–10.0215%12 Jul →
cache3–13-0.0527%12 Jul →
cache9–130.0119%12 Jul →
dust213–70.0318%11 Jul →
inferno13–7-0.014%11 Jul →
dust213–8-0.0115%11 Jul →
cache10–13-0.0414%11 Jul →
dust23–12-0.0433%11 Jul →
dust24–130.0122%9 Jul →
cache13–6-0.0112%9 Jul →
eldorado9–70.1116%9 Jul →
shelter12–12-0.0534%9 Jul →
boulder13–110.0417%9 Jul →
cache13–7-0.0217%9 Jul →
dust25–13-0.0010%9 Jul →
mirage9–13-0.0319%5 Jul →
cache0–10.000%5 Jul →
cache12–120.0113%4 Jul →
overpass9–130.0411%3 Jul →
mirage13–9-0.0217%3 Jul →
inferno8–80.0211%3 Jul →
inferno9–20.1510%28 Jun →
office13–70.1727%26 Jun →
inferno9–20.0111%26 Jun →
train9–13-0.0021%18 Jun →
train13–70.0023%18 Jun →
dust26–130.0120%12 Jun →
nuke13–20.127%12 Jun →
inferno2–13-0.039%12 Jun →
dust213–10-0.0121%11 Jun →
mirage11–130.0418%6 Jun →

Match data via Leetify.

Recent teammates

Milestones

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

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