Crispo El Alcohólico — CS2 Stats

76561198855312368[U:1:895046640]

1,271Tracked matches30%Win rate2020Tracked since
1,114Hours in CS
CSDB Rating3.6 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.1%42.1%42.1%3.0% short
Shot accuracy13.7%12.9%12.1%above
Kill/death ratio0.771.000.990.22 short
Match win rate36.2%42.9%43.9%7.6% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGCrispo El AlcohólicoFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning27
Utility56

0–100 skill scores via Leetify.

Recent form

COLD45469Last 10045%Win rateWWTLTLLLWL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Aim3.6
Aggression0.8
Utility5.6
Positioning2.7
Opening Duels0.0

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 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 658ms 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

Aim3.6
Positioning2.7
Utility5.6
Mechanics7.3
Opening Duels0.0
Win Impact0.0

Composite 3.6/10 (Learning), 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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time645ms−37ms
first ⅓ avg 682ms → last ⅓ avg 645ms
Headshot accuracy14.5%+2.0%
first ⅓ avg 12.4% → last ⅓ avg 14.5%

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

0.10Best rating — dust2 13–8
130Biggest win — dust2
5Longest win streak
W2Current streak
104In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 62% over 13trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B20101050%-0.02
mirageB136746%-0.03
cacheA138562%-0.02
vertigoD134931%-0.04
infernoB126650%-0.02
officeC114736%-0.06
trainD61517%-0.03
nukeC52340%-0.07
anubis32167%-0.03
ancient31233%-0.08
overpass110100%-0.01

Across the last 100 tracked matches.

Lifetime stats

48,236Lifetime kills
0.77K/D
3,541Matches
36.2%Match win rate
39.1%Headshot %
13.7%Shot accuracy · Top 50% of Level 2 players
5,019MVPs
1,114Hours (in match)
1,706Bombs planted
409Bombs defused

Most-used weapons

AK-477,610
Negev3,557
Nova3,329
XM10142,333
MP72,156
MP92,011

Lifetime map wins

5,044inferno
4,935dust2
1,670vertigo
1,008office
792nuke
524lake
489cbble
470train

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

13.8%Headshot accuracy
23.1%Accuracy (enemy spotted)
27.9%Spray accuracy
82.6%Counter-strafing
9.2°Preaim
658msReaction time
19.1%T opening success
27.4%CT opening success
0.60Enemies flashed / flash
4.0%Flash assists
7.96HE damage / grenade
7.01Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.8438% — below the 15% mark we flag

    Aim Training
  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 19.0988% — below the 40% mark we flag

Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.009%23 Aug
cache13–11-0.0015%23 Aug
cache12–12-0.0220%22 Aug
office5–13-0.0119%22 Aug
inferno12–12-0.059%8 Aug
dust211–13-0.037%8 Aug
mirage10–13-0.0713%25 Jul
inferno5–13-0.0818%25 Jul
dust213–11-0.0615%18 Jul
vertigo4–13-0.0814%18 Jul
office8–13-0.0210%18 Jul
dust24–13-0.0922%5 Jul
cache7–13-0.0412%5 Jul
train10–13-0.0613%3 Jul
vertigo13–4-0.0425%27 Jun
office13–2-0.0611%27 Jun
nuke2–13-0.1113%27 Jun
mirage2–13-0.087%23 Jun
dust213–100.006%23 Jun
mirage12–12-0.0643%23 Jun
dust213–80.0512%20 Jun
mirage5–13-0.0422%20 Jun
inferno9–70.0211%19 Jun
inferno3–9-0.0717%19 Jun
inferno8–80.0133%19 Jun
train6–13-0.0116%19 Jun
train1–13-0.0215%13 Jun
mirage4–130.0711%13 Jun
dust213–2-0.0020%13 Jun
vertigo9–13-0.068%7 Jun
vertigo10–13-0.020%6 Jun
train1–13-0.0613%6 Jun
dust25–13-0.020%6 Jun
mirage13–8-0.0417%6 Jun
mirage13–100.0315%5 Jun
vertigo10–130.0313%5 Jun
dust28–13-0.0913%5 Jun
vertigo2–13-0.067%31 May
dust27–13-0.019%31 May
office12–12-0.0423%31 May
office13–9-0.078%30 May
dust24–130.0214%30 May
train8–4-0.0911%30 May
anubis1–13-0.069%30 May
anubis13–6-0.0110%30 May
cache9–130.0010%30 May
office11–13-0.117%30 May
ancient6–13-0.1115%30 May
dust25–13-0.0817%30 May
inferno11–130.0317%30 May
vertigo7–13-0.1014%26 May
cache13–10.1015%26 May
mirage6–13-0.087%26 May
inferno13–110.0414%26 May
cache13–3-0.098%24 May
inferno13–40.0124%24 May
office13–6-0.0222%24 May
mirage13–10-0.0521%24 May
dust26–13-0.0615%24 May
train12–120.0317%24 May
office12–12-0.100%23 May
inferno13–11-0.055%23 May
dust213–0-0.076%23 May
cache13–8-0.0616%23 May
vertigo13–80.039%23 May
office8–13-0.1325%23 May
nuke13–0-0.0130%17 May
vertigo13–8-0.030%17 May
ancient13–8-0.0322%17 May
dust213–11-0.0310%17 May
cache13–2-0.0019%17 May
dust25–13-0.028%10 May
mirage13–60.0012%10 May
cache13–60.0218%10 May
dust212–12-0.048%9 May
inferno13–9-0.0529%9 May
vertigo7–13-0.0616%9 May
cache13–10-0.0418%9 May
cache13–10-0.048%3 May
cache7–130.0211%2 May
cache4–13-0.0410%2 May
dust213–80.1011%25 Apr
inferno7–13-0.030%25 Apr
office13–3-0.033%25 Apr
vertigo13–11-0.0817%25 Apr
nuke11–13-0.0411%25 Apr
office8–13-0.0344%18 Apr
dust213–9-0.037%18 Apr
ancient12–12-0.105%11 Apr
vertigo4–13-0.0318%11 Apr
mirage0–13-0.0710%11 Apr
nuke1–13-0.1112%11 Apr
dust213–60.0314%11 Apr
anubis13–10-0.0116%5 Apr
inferno13–10-0.036%5 Apr
dust27–60.0614%4 Apr
overpass13–11-0.018%4 Apr
vertigo7–13-0.020%4 Apr
mirage13–10-0.0213%4 Apr
nuke13–11-0.0714%4 Apr

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 →