paranoyd — CS2 Stats

76561198088762509[U:1:128496781]

283Tracked matches57%Win rate2021Tracked since
2,273Hours in CS
CSDB Rating5.0 Developing
Premier CS Rating20,118Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#18613 of 49781 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
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 rate44.1%44.0%44.7%meets
Shot accuracy14.9%11.6%11.9%above
Kill/death ratio1.191.031.04above
Match win rate47.7%45.1%45.2%above

Across every metric we can compare, this profile already matches the typical Level 6 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGparanoydFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER20,118 · Pink bandcsdb.gg/stats

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Performance scores

Aim48
Positioning37
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY54451Last 10054%Win rateWWWLLLLWWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim4.8
Aggression3.2
Utility6.4
Positioning3.7
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 76% 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

Reaction time. 655ms 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

Aim4.8
Positioning3.7
Utility6.4
Mechanics6.1
Opening Duels0.8
Win Impact7.2

Composite 5.0/10 (Developing), 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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time655ms+19ms
first ⅓ avg 636ms → last ⅓ avg 655ms
Headshot accuracy19.4%+3.4%
first ⅓ avg 16.0% → last ⅓ avg 19.4%

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

0.13Best rating — mirage 13–4
131Biggest win — inferno
4Longest win streak
W3Current streak
65In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 71% over 21ancientWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageA23131057%0.01
infernoS2115671%-0.01
nukeA148657%-0.02
dust2B105550%-0.02
overpassA85363%-0.02
anubisD72529%-0.03
vertigoC73443%0.01
ancientD51420%-0.03
train42250%0.02
italy1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

154,453Lifetime kills
1.19K/D · Top 25% of Level 5 players
6,274Matches
47.7%Match win rate · Top 50% of Level 5 players
44.1%Headshot % · Top 50% of Level 5 players
14.9%Shot accuracy · Top 50% of Level 5 players
11,770MVPs
2,273Hours (in match)
5,384Bombs planted
1,241Bombs defused

Most-used weapons

AK-4739,654
AWP14,214
P2505,294
Knife3,308
Negev3,057
FAMAS3,004

Lifetime map wins

14,773dust2
6,716inferno
3,713nuke
2,148train
950cbble
913vertigo
353italy
352dust

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.

20.1%Headshot accuracy
28.2%Accuracy (enemy spotted)
31.9%Spray accuracy
77.3%Counter-strafing
10.5°Preaim
655msReaction time
23.6%T opening success
36.2%CT opening success
0.70Enemies flashed / flash
7.9%Flash assists
7.64HE damage / grenade
8.61Flashes / 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 23.6181% — 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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0014%22 Nov
train13–40.0625%22 Nov
mirage13–4-0.0515%21 Nov
overpass1–13-0.0920%21 Nov
mirage4–130.0218%19 Nov
ancient11–13-0.0517%19 Nov
inferno9–13-0.0432%10 Nov
nuke13–80.0122%10 Nov
mirage13–9-0.0221%10 Nov
mirage13–9-0.0120%6 Nov
dust27–130.0422%5 Nov
inferno13–10-0.0424%5 Nov
train4–130.0118%5 Nov
overpass13–3-0.0916%5 Nov
inferno13–5-0.0818%5 Nov
ancient16–140.0118%30 Oct
mirage4–130.0135%30 Oct
dust213–9-0.0322%30 Oct
nuke7–13-0.0312%29 Oct
mirage13–80.0424%29 Oct
mirage13–40.0125%29 Oct
overpass5–13-0.0016%29 Oct
train13–100.0724%16 Feb
dust210–130.0112%29 Oct
anubis11–13-0.0221%19 Oct
mirage13–6-0.008%19 Oct
mirage13–40.1317%19 Oct
dust213–80.0321%19 Oct
vertigo5–130.0226%10 Oct
ancient3–13-0.0422%10 Oct
italy7–13-0.057%3 Oct
inferno13–3-0.0019%3 Oct
dust28–13-0.0810%11 Jul
dust29–130.0022%25 Jun
vertigo13–80.1226%25 Jun
mirage11–130.0020%21 Jun
inferno13–10.0624%21 Jun
nuke7–13-0.0517%7 May
inferno5–130.0031%7 May
dust213–10-0.0526%7 May
dust25–13-0.0814%28 Apr
anubis13–40.0138%15 Apr
nuke13–9-0.0712%15 Apr
mirage13–40.0212%15 Apr
mirage10–13-0.0618%16 Mar
inferno13–7-0.0114%24 Feb
mirage13–70.0222%23 Feb
nuke4–13-0.0613%23 Feb
mirage10–13-0.0513%19 Nov
anubis6–13-0.0117%19 Nov
inferno13–70.0417%19 Nov
inferno13–10-0.0217%17 Nov
inferno13–7-0.008%14 Nov
inferno13–70.0728%28 Sept
ancient9–13-0.0422%20 Sept
inferno13–11-0.0116%20 Sept
vertigo7–130.0415%20 Sept
nuke13–100.0020%20 Sept
nuke7–13-0.0714%15 Sept
mirage13–11-0.0120%15 Sept
nuke8–13-0.1038%15 Sept
inferno7–130.0115%15 Sept
anubis11–13-0.0216%15 Sept
vertigo13–100.0324%14 Sept
inferno1–13-0.0717%14 Sept
inferno13–11-0.0611%11 Sept
overpass13–10-0.0312%11 Sept
vertigo10–13-0.0511%9 Sept
anubis9–13-0.0815%9 Sept
mirage13–100.1113%8 Sept
inferno13–90.0115%8 Sept
anubis7–13-0.069%8 Sept
nuke12–16-0.0017%8 Sept
vertigo11–13-0.0521%8 Sept
inferno13–10-0.008%7 Sept
overpass13–7-0.0411%7 Sept
anubis13–70.006%6 Sept
mirage13–4-0.0423%6 Sept
overpass4–13-0.0117%5 Sept
nuke13–70.0511%5 Sept
inferno2–13-0.078%5 Sept
mirage15–150.0316%5 Sept
nuke8–4-0.0315%4 Sept
mirage7–13-0.0232%3 Sept
ancient3–13-0.008%3 Sept
inferno5–13-0.0417%3 Sept
vertigo13–11-0.0218%3 Sept
nuke13–80.0122%3 Sept
mirage4–13-0.0930%3 Sept
nuke16–120.0310%3 Sept
overpass13–80.1122%1 Sept
inferno13–6-0.0220%1 Sept
inferno13–6-0.0016%1 Sept
mirage8–130.1118%1 Sept
mirage8–16-0.0222%29 Aug
nuke16–140.0117%29 Aug
overpass16–13-0.0015%26 Aug
dust216–12-0.0319%26 Aug
mirage16–120.0417%26 Aug
train10–16-0.0711%23 Aug

Match data via Leetify.

Recent teammates

Milestones

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