-crizzpy — CS2 Stats

76561198371240591[U:1:410974863]

616Tracked matches50%Win rate2020Tracked since
2,539Hours in CS20Hrs last 2 wks
CSDB Rating4.7 DevelopingPassive Rifler
Premier CS Rating10,687Blue band · top ~51.3% of ranked players (population est.)
CSDB Leaderboard#33730 of 47659 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanSilver Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 rate37.8%44.0%44.7%6.9% short
Shot accuracy11.2%11.6%11.9%0.7% short
Kill/death ratio0.781.031.040.26 short
Match win rate41.4%45.1%45.2%3.8% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Kill/death ratio. 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.GG-crizzpyFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER10,687 · Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning42
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateWLWLWLLLWL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

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

Aim6.1
Aggression4.3
Utility5.5
Positioning4.2
Opening Duels0.6
Clutch3.6

Strong CT-side openerEffective flashes

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 81% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

T-side openings. Opening success drops from 49% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim6.1
Positioning4.2
Utility5.5
Mechanics5.1
Opening Duels2.3
Win Impact5.0

Composite 4.7/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time614ms−84ms
first ⅓ avg 697ms → last ⅓ avg 614ms
Headshot accuracy17.5%−0.2%
first ⅓ avg 17.7% → last ⅓ avg 17.5%

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

0.16Best rating — inferno 9–3
130Biggest win — mirage
5Longest win streak
116In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 12ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB43202347%-0.01
anubisB20101050%0.00
dust2B126650%0.00
infernoS128467%0.02
ancientD61517%-0.01
overpass31233%-0.02
cache31233%0.01
train1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,321Lifetime kills
0.78K/D
2,447Matches
41.4%Match win rate
37.8%Headshot %
11.2%Shot accuracy
3,832MVPs
999Hours (in match)
1,620Bombs planted
420Bombs defused

Most-used weapons

AK-4711,951
AWP7,112
Knife753
MP9593

Lifetime map wins

2,102dust2
1,970inferno
567vertigo
371nuke
206train
52cbble
45lake
39ar_shoots

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

Faceit stats

Combat

838Matches
50%Win rate
1.00Avg K/D
74.2ADR
38%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage33754%1.0615.4
Anubis11853%0.9714.4
Ancient9145%0.9814.7
Dust29043%0.9514.2
Inferno6448%0.9014.2
Nuke2733%0.9413.2
Vertigo2157%0.9214.2
Cache1443%0.9413.9

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.

18.1%Headshot accuracy
34.8%Accuracy (enemy spotted)
34.0%Spray accuracy
72.8%Counter-strafing
9.3°Preaim
617msReaction time
16.3%T opening success
48.5%CT opening success
0.72Enemies flashed / flash
5.1%Flash assists
8.70HE damage / grenade
8.03Flashes / 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 16.3421% — below the 40% mark we flag

Spend your practice time on Ancient

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.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0022%21 Aug
anubis10–13-0.0122%21 Aug
anubis13–90.0412%21 Aug
anubis9–13-0.035%20 Aug
mirage13–10-0.0722%19 Aug
anubis12–16-0.0726%10 Aug
mirage13–16-0.0212%26 Jun
dust22–80.000%11 Jun
mirage13–10-0.0123%11 Jun
dust29–130.0828%8 Jun
overpass4–13-0.0622%6 Jun
inferno13–110.0324%6 Jun
dust213–100.0520%2 Jun
cache3–13-0.076%23 May
mirage6–10.1325%14 May
anubis13–90.0310%11 May
mirage13–60.0211%10 May
anubis13–50.097%10 May
dust210–13-0.0524%6 May
cache11–130.0715%6 May
cache13–90.0315%5 May
ancient6–13-0.0511%1 May
inferno16–120.0425%1 May
mirage1–7-0.0330%29 Apr
anubis8–130.1224%28 Apr
ancient3–130.0118%23 Apr
mirage16–12-0.0624%23 Apr
inferno13–11-0.0510%22 Apr
inferno11–13-0.0515%18 Apr
anubis13–6-0.0020%18 Apr
overpass3–13-0.050%18 Apr
mirage11–13-0.0430%14 Apr
mirage13–60.0521%13 Apr
mirage1–13-0.0142%10 Apr
inferno4–130.0326%10 Apr
overpass16–130.0613%10 Apr
mirage13–110.0325%10 Apr
dust213–9-0.0115%9 Apr
dust213–5-0.0323%9 Apr
dust213–50.0215%9 Apr
mirage1–130.0146%9 Apr
dust27–13-0.0632%8 Apr
mirage12–16-0.0622%5 Apr
dust213–110.0124%5 Apr
dust213–20.0615%5 Apr
mirage10–130.0122%2 Apr
mirage7–13-0.0235%2 Apr
mirage15–15-0.0317%29 Mar
inferno9–30.1639%26 Mar
mirage13–110.0228%23 Mar
mirage3–13-0.0347%23 Mar
anubis13–100.0212%23 Mar
inferno5–13-0.0133%23 Mar
mirage13–9-0.0612%22 Mar
mirage13–50.1220%22 Mar
anubis7–130.0117%22 Mar
anubis9–13-0.0114%18 Mar
ancient13–110.0112%18 Mar
mirage13–90.049%18 Mar
anubis13–8-0.0317%16 Mar
anubis7–130.0419%16 Mar
mirage9–13-0.0827%13 Mar
mirage13–11-0.0328%13 Mar
mirage3–13-0.0710%13 Mar
mirage11–13-0.0410%8 Mar
mirage3–13-0.0614%8 Mar
mirage13–80.0321%8 Mar
dust21–13-0.0118%8 Mar
mirage15–15-0.0017%7 Mar
mirage8–13-0.0411%6 Mar
inferno13–10-0.0126%6 Mar
anubis13–110.0218%6 Mar
ancient5–130.0313%6 Mar
mirage13–10-0.046%6 Mar
mirage1–13-0.067%6 Mar
ancient13–16-0.0110%5 Mar
mirage13–70.0111%5 Mar
mirage5–130.0018%5 Mar
mirage13–00.1325%2 Mar
anubis10–13-0.0311%2 Mar
dust28–13-0.0022%2 Mar
anubis13–8-0.0036%9 Apr
inferno11–13-0.0221%18 Mar
mirage13–8-0.0220%17 Mar
anubis9–13-0.0411%17 Mar
ancient11–13-0.0211%10 Mar
anubis13–110.0131%10 Feb
mirage4–13-0.1133%6 Feb
mirage12–12-0.0223%6 Feb
mirage13–9-0.0430%31 Jan
inferno13–40.0310%31 Jan
mirage13–110.0120%31 Jan
mirage13–50.005%31 Jan
mirage8–130.027%30 Jan
mirage8–13-0.0436%16 Jan
train3–13-0.0521%15 Jan
inferno13–70.0213%14 Dec
mirage4–13-0.0819%10 Dec
inferno13–110.1115%4 Dec
anubis5–13-0.0911%25 Nov

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 →