hackelito

hackelito — CS2 Stats

SE76561198017063133[U:1:56797405]Steam profile ↗✓ No bans

597Tracked matches57%Win rate2020Tracked since
3,433Hours in CS28Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating22,839Top 25% of 213,399 CSDB-tracked playersPink band · top ~5.4% of ranked players (population est.)
CSDB Leaderboard#45534 of 260006 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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

Premier CS Rating: 22,839 +4,118 22 Jul – 4 Nov · 24 days played
18,49322,839peak 22,83922 Jul4 Nov
22,953Peak Premier in tracked matches
44Days played since 2026-07-08

Premier CS Rating

  • At peak — 22,839
  • +2,840 over 30 days · improving
  • +3,010 over 90 days
  • Next: Red band at 25,000 — 2,161 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate45.5%44.8%45.7%meets
Shot accuracy16.2%12.4%12.7%above
Kill/death ratio1.021.031.050.03 short
Match win rate45.7%45.2%45.7%meets

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGhackelitoFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER22,839 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning63
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY54–45–1Last 10054%Win rateLWLWWLLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +1.6pp headshot accuracy · −54ms 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 -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 563ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 590ms

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).

Aim7.2
Utility6.1
Positioning6.3
Opening Duels4.5
Clutch3.2

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

m0NESY

Plays most like m0NESY 85% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 60% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 60% on T to 45% on CT — first contacts on the defending side are being lost.

Reaction time. 586ms 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

Aim7.2
Positioning6.3
Utility6.1
Mechanics7.0
Opening Duels5.6
Win Impact7.2

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time583ms−8ms
first ⅓ avg 591ms → last ⅓ avg 583ms
Headshot accuracy18.0%+3.2%
first ⅓ avg 14.8% → last ⅓ avg 18.0%

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

0.16Best match rating · 13–6 · inferno, 14 Oct →
33%Best headshot accuracy · 3–13 · dust2, 3 Nov →
406msFastest reaction time · 13–2 · ancient, 17 Aug →
13–1Biggest win · mirage, 30 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–8In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 68% over 19cacheWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
infernoS1913–668%0.02
mirageB157–847%-0.00
ancientB157–847%-0.02
anubisA148–657%0.03
dust2B137–654%-0.01
cacheC104–640%0.01
nukeA95–456%0.03
vertigo—43–175%0.07
office—10–10%-0.01

Across the last 100 tracked matches.

Lifetime stats

84,650Lifetime kills
1.02K/D
4,080Matches
45.7%Match win rate · Top 50% of Level 6 players
45.5%Headshot % · Top 50% of Level 6 players
16.2%Shot accuracy · Top 25% of Level 6 players
8,825MVPs
1,890Hours (in match)
4,329Bombs planted
1,106Bombs defused

Most-used weapons

AK-4723,865
AWP7,994
SG 5533,526
AUG3,239
Knife1,830

Lifetime map wins

9,569inferno
8,587dust2
4,212nuke
1,754train
1,416vertigo
588cbble
109office
82lake

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

Faceit stats

Combat

432Matches
50%Win rate
1.00Avg K/D
85.9ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis3352%1.1517.4
Inferno2650%1.3217.4
Dust21963%1.2715.8
Ancient1759%1.1216.5
Nuke1631%1.0315.4
Mirage825%0.8816.8
Cache757%1.4121.6
Vertigo771%1.0714.3

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.

18.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.1%Spray accuracy
81.5%Counter-strafing
9.1°Preaim
586msReaction time
60.2%T opening success
45.0%CT opening success
0.58Enemies flashed / flash
6.3%Flash assists
7.62HE damage / grenade
11.81Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0220%4 Nov →
dust213–70.0320%4 Nov →
ancient8–13-0.0717%4 Nov →
inferno13–8-0.0325%4 Nov →
anubis16–140.0514%3 Nov →
dust23–13-0.0433%3 Nov →
inferno6–13-0.069%29 Oct →
cache13–11-0.0114%29 Oct →
inferno13–40.025%29 Oct →
dust27–13-0.0231%29 Oct →
anubis13–7-0.0121%28 Oct →
dust213–90.0633%26 Oct →
anubis9–130.018%26 Oct →
anubis13–7-0.0219%22 Oct →
mirage11–13-0.0414%22 Oct →
ancient13–11-0.0323%22 Oct →
nuke13–10-0.0110%22 Oct →
anubis13–60.1419%21 Oct →
inferno9–13-0.066%21 Oct →
mirage7–13-0.0521%20 Oct →
dust211–130.0316%20 Oct →
nuke5–130.0528%19 Oct →
ancient11–13-0.0421%18 Oct →
ancient13–11-0.0112%18 Oct →
ancient13–10-0.0431%16 Oct →
inferno6–130.0815%15 Oct →
inferno13–60.1620%14 Oct →
vertigo13–110.0215%14 Oct →
inferno13–80.0416%14 Oct →
inferno13–6-0.0216%14 Oct →
anubis6–13-0.0713%14 Oct →
dust213–10-0.0211%12 Oct →
inferno13–110.0217%12 Oct →
anubis11–13-0.0113%11 Oct →
anubis6–13-0.026%11 Oct →
mirage13–80.0418%11 Oct →
anubis13–11-0.0216%7 Oct →
inferno5–13-0.0421%7 Oct →
inferno13–90.0126%6 Oct →
anubis13–110.1417%1 Oct →
cache13–90.0719%1 Oct →
ancient13–11-0.0811%1 Oct →
nuke9–130.0411%30 Sept →
vertigo13–40.1025%30 Sept →
inferno7–90.0216%30 Sept →
anubis4–130.0512%30 Sept →
mirage13–10.0631%30 Sept →
mirage6–13-0.0418%30 Sept →
ancient7–130.016%30 Sept →
cache8–13-0.0124%29 Sept →
ancient0–13-0.1113%27 Sept →
mirage4–130.0621%27 Sept →
ancient13–100.0215%26 Sept →
vertigo7–130.1215%25 Sept →
cache14–160.0419%25 Sept →
cache4–13-0.0216%25 Sept →
nuke13–90.1324%9 Sept →
anubis13–30.0213%26 Aug →
ancient7–13-0.048%25 Aug →
anubis13–80.1312%23 Aug →
cache1–13-0.0212%20 Aug →
nuke7–130.0017%20 Aug →
inferno13–60.1113%18 Aug →
cache7–130.0215%18 Aug →
ancient1–13-0.059%17 Aug →
ancient13–20.0512%17 Aug →
nuke8–130.0319%12 Aug →
ancient6–13-0.0217%11 Aug →
nuke19–160.0125%10 Aug →
inferno16–140.1114%5 Aug →
inferno13–50.1212%29 Jul →
ancient13–70.0416%28 Jul →
mirage5–13-0.0112%28 Jul →
mirage13–8-0.0118%28 Jul →
dust213–100.0319%27 Jul →
cache13–80.0411%27 Jul →
dust24–13-0.0619%23 Jul →
mirage2–13-0.0712%23 Jul →
mirage13–5-0.0014%22 Jul →
inferno7–2-0.0410%22 Jul →
dust21–11-0.0118%22 Jul →
dust213–9-0.1018%22 Jul →
inferno13–70.0221%22 Jul →
anubis7–130.0110%22 Jul →
mirage10–13-0.050%21 Jul →
dust216–130.0214%21 Jul →
inferno3–00.020%21 Jul →
nuke13–3-0.050%21 Jul →
nuke13–110.0518%17 Jul →
dust213–10-0.0117%16 Jul →
cache15–150.0715%16 Jul →
mirage13–70.1023%9 Jul →
inferno7–13-0.0222%9 Jul →
ancient9–130.0514%9 Jul →
dust214–16-0.0219%9 Jul →
vertigo13–30.0421%8 Jul →
mirage13–6-0.0423%8 Jul →
cache13–11-0.0314%8 Jul →
office11–13-0.017%8 Jul →
mirage13–70.0119%8 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.