p1zI ༒1ɴᴇ ᴛᴀᴘ༒ — CS2 Stats

76561198277949239[U:1:317683511]

3,360Tracked matches62%Win rate2020Tracked since
6,751Hours in CS12Hrs last 2 wks
CSDB Rating5.7 SolidHybrid Rifler
Premier CS Rating25,797Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#3993 of 46127 tracked
FaceitLevel 10 · 2,275 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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 10 median
Headshot rate47.8%51.9%
Shot accuracy10.7%13.7%
Kill/death ratio0.881.08
Match win rate50.4%48.7%

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CSDB.GGp1zI ༒1ɴᴇ ᴛᴀᴘ༒FACEITLevel 10 · 2,275 ELOSTANDINGTop 12.4% of rankedPREMIER25,797 · Red bandcsdb.gg/stats

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Performance scores

Aim67
Positioning46
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY58393Last 10058%Win rateWLTWWLLWWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.7
Aggression4.9
Utility3.4
Positioning4.6
Opening Duels1.3
Clutch4.0

Strong CT-side opener

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: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; 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

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 43% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim6.7
Positioning4.6
Utility3.4
Mechanics6.4
Opening Duels1.7
Win Impact9.0

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time581ms−59ms
first ⅓ avg 641ms → last ⅓ avg 581ms
Headshot accuracy23.0%−1.3%
first ⅓ avg 24.3% → last ⅓ avg 23.0%

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.

Highlights

0.21Best rating — inferno 13–4
131Biggest win — anubis
5Longest win streak
97In matches decided by ≤2 rounds
13Overtime games

Map breakdown

cacheBest map · 80% over 10infernoWeakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
anubisS2317674%0.00
infernoC1871139%0.01
mirageB157847%0.01
ancientC156940%0.00
dust2S107370%-0.02
cacheS108280%0.00
nukeA85363%-0.00
vertigo110100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,499Lifetime kills
0.88K/D
6,831Matches
50.4%Match win rate · Top 50% of Level 10 players
47.8%Headshot %
10.7%Shot accuracy
17,333MVPs
3,145Hours (in match)
8,985Bombs planted
1,703Bombs defused

Most-used weapons

AK-4737,593
AWP18,251
MAC-105,064
MP94,446
Knife3,344

Lifetime map wins

23,560inferno
8,197dust2
5,727nuke
4,754vertigo
1,621train
624cbble
142lake
74office

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

Faceit stats

Combat

4,341Matches
50%Win rate
0.96Avg K/D
74.7ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient63352%0.9715.3
Inferno51653%1.0014.9
Anubis40250%0.9314.7
Nuke23749%1.0415.8
Mirage16543%0.9314.4
Overpass13746%0.9514.3
Dust210646%0.9514.3
Train4840%0.9614.6

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.

22.6%Headshot accuracy
31.4%Accuracy (enemy spotted)
36.0%Spray accuracy
78.8%Counter-strafing
10.7°Preaim
576msReaction time
27.3%T opening success
43.3%CT opening success
0.35Enemies flashed / flash
3.9%Flash assists
5.94HE damage / grenade
5.46Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3485 — below the 0.5 mark we flag

    Grenade Lineups
  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 27.3363% — below the 40% mark we flag

Spend your practice time on Inferno

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

39% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–80.0334%28 Aug
anubis8–13-0.0416%28 Aug
ancient15–150.0518%18 Aug
anubis13–1-0.0633%18 Aug
dust213–2-0.0423%18 Aug
nuke6–13-0.069%18 Aug
dust22–13-0.100%17 Aug
anubis13–5-0.0938%17 Aug
inferno16–14-0.0319%15 Aug
inferno11–130.0625%12 Aug
dust213–3-0.0028%12 Aug
anubis13–10-0.0325%12 Aug
anubis19–16-0.0316%8 Aug
inferno14–16-0.0129%8 Aug
anubis13–90.0425%8 Aug
inferno16–19-0.0416%8 Aug
anubis13–10-0.0338%6 Aug
cache13–20.0433%6 Aug
nuke8–13-0.0220%6 Aug
mirage13–11-0.0816%5 Aug
cache13–30.0523%4 Aug
anubis6–13-0.0421%4 Aug
anubis13–60.0224%4 Aug
ancient14–16-0.0126%4 Aug
anubis13–50.0728%4 Aug
nuke13–110.0320%3 Aug
nuke9–13-0.0218%3 Aug
nuke13–80.0420%3 Aug
inferno11–13-0.0634%3 Aug
anubis13–90.0010%3 Aug
ancient9–130.0125%3 Aug
anubis11–13-0.0426%2 Aug
inferno10–130.0220%1 Aug
ancient13–8-0.0116%31 Jul
anubis13–80.1030%31 Jul
anubis13–100.0119%31 Jul
ancient13–7-0.0227%31 Jul
mirage13–30.0631%31 Jul
mirage5–130.0318%31 Jul
mirage13–110.0115%31 Jul
mirage10–13-0.0024%31 Jul
cache13–80.0319%31 Jul
anubis16–14-0.028%30 Jul
nuke13–8-0.0013%30 Jul
anubis13–90.0926%30 Jul
cache4–13-0.0313%30 Jul
inferno5–13-0.0129%26 Jul
cache10–10.0229%26 Jul
anubis7–13-0.0132%26 Jul
nuke13–9-0.0221%26 Jul
inferno8–13-0.0124%25 Jul
inferno9–13-0.0426%25 Jul
dust213–90.0325%25 Jul
anubis15–19-0.0425%25 Jul
ancient13–100.0125%24 Jul
ancient9–130.0322%24 Jul
inferno5–13-0.0540%24 Jul
anubis13–11-0.0529%23 Jul
inferno19–150.0223%23 Jul
inferno13–9-0.0029%23 Jul
inferno1–13-0.0437%23 Jul
mirage11–130.0019%22 Jul
dust28–13-0.0232%22 Jul
cache13–8-0.0140%19 Jul
inferno13–60.0518%19 Jul
anubis13–110.0232%19 Jul
inferno13–80.0544%19 Jul
cache9–13-0.0439%19 Jul
cache13–7-0.0019%19 Jul
inferno13–80.0135%18 Jul
ancient13–50.0921%18 Jul
dust213–90.0319%18 Jul
ancient15–150.0525%18 Jul
dust213–60.0431%18 Jul
mirage6–13-0.0132%17 Jul
mirage13–80.1429%17 Jul
inferno13–40.2132%17 Jul
ancient13–5-0.0228%17 Jul
anubis13–90.1432%17 Jul
ancient4–13-0.0126%16 Jul
cache13–10-0.0224%16 Jul
mirage9–13-0.0315%11 Jul
dust213–11-0.0730%11 Jul
mirage7–13-0.0117%11 Jul
dust214–16-0.0336%11 Jul
ancient7–13-0.0611%3 Jul
mirage13–11-0.0320%1 Jul
mirage10–130.0318%1 Jul
ancient13–50.0024%1 Jul
anubis13–70.0628%1 Jul
mirage13–40.0531%24 Jun
dust216–130.0025%24 Jun
ancient0–13-0.0421%20 Jun
mirage15–15-0.0811%20 Jun
ancient6–130.0122%19 Jun
nuke13–50.0019%10 Jun
inferno5–13-0.0122%10 Jun
cache13–7-0.0025%10 Jun
vertigo13–80.0516%5 Jun
anubis5–13-0.0317%2 Jun

Match data via Leetify.

Milestones

Faceit Level 102K ELO1,000 Matches
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