iPixelGalaxy

iPixelGalaxy — CS2 Stats

CA76561198967815164[U:1:1007549436]Steam profile ↗

869Tracked matches52%Win rate2020Tracked since
1,880Hours in CS3Hrs last 2 wks
CSDB Rating2.1 Learning
FaceitLevel 4 · 946 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGiPixelGalaxyFACEITLevel 4 · 946 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim15
Positioning39
Utility3

0–100 skill scores via Leetify.

Recent form

STEADY46486Last 10046%Win rateLWLLLWWWWL

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

Player DNA

Aim1.5
Aggression4.8
Utility0.3
Positioning3.9
Opening Duels1.6
Clutch0.0

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 67% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 705ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning3.9
Utility0.3
Mechanics2.5
Opening Duels1.6
Win Impact5.6

Composite 2.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time708ms+51ms
first ⅓ avg 657ms → last ⅓ avg 708ms
Headshot accuracy17.7%−0.2%
first ⅓ avg 17.9% → last ⅓ avg 17.7%

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 — inferno 9–1
131Biggest win — cache
5Longest win streak
46In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA1810856%-0.01
cacheD1541127%-0.01
anubisA159660%-0.02
vertigoC94544%-0.03
nukeB84450%-0.04
ancientA85363%-0.00
dust2D62433%-0.04
overpassB63350%-0.02
train43175%0.01
office42250%0.02
mirage3030%-0.04
poseidon3030%-0.00
alpine1010%-0.00

Across the last 100 tracked matches.

Lifetime stats

42,190Lifetime kills
1.17K/D · Top 50% of tracked players
2,210Matches
39.8%Match win rate
46.9%Headshot % · Top 50% of tracked players
9.2%Shot accuracy
8,359MVPs
632Hours (in match)
1,812Bombs planted
550Bombs defused

Most-used weapons

Lifetime map wins

2,977inferno
1,734dust2
1,211train
1,111nuke
770office
432cbble
311vertigo
50italy

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

Faceit stats

Combat

46Matches
43%Win rate
0.89Avg K/D
72.5ADR
39%Headshot %

Clutches & streaks

11%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Cache825%0.7912.8
Inferno862%0.9715.6
Anubis771%0.9718.1
Overpass650%0.8513.8
Ancient560%0.8818.8
Nuke20%0.244.5
Mirage10%0.183.0
Dust210%0.5712.0

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.

17.0%Headshot accuracy
24.5%Accuracy (enemy spotted)
26.8%Spray accuracy
61.1%Counter-strafing
12.7°Preaim
705msReaction time
33.5%T opening success
39.2%CT opening success
0.08Enemies flashed / flash
0.0%Flash assists
0.77HE damage / grenade
0.21Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.7195° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 705.1548ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.0805 — below the 0.5 mark we flag

    Grenade Lineups
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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0826%22 Aug
nuke13–7-0.0419%22 Aug
cache8–13-0.0712%22 Aug
train8–13-0.0626%14 Aug
mirage11–13-0.0429%11 Aug
anubis13–80.0214%11 Aug
inferno13–9-0.0625%11 Aug
office13–80.0215%9 Aug
cache13–60.0823%9 Aug
inferno3–9-0.0826%9 Aug
cache13–10.0118%8 Aug
nuke11–13-0.0618%8 Aug
train13–4-0.0127%4 Aug
vertigo13–9-0.0710%2 Aug
vertigo8–13-0.0722%2 Aug
dust211–13-0.0116%23 Jul
anubis13–70.0117%23 Jul
anubis11–13-0.0214%23 Jul
cache8–13-0.0316%13 Jul
office13–40.0719%12 Jul
office9–13-0.0117%12 Jul
mirage7–13-0.0211%9 Jul
anubis9–13-0.123%30 Jun
ancient15–15-0.0711%30 Jun
anubis13–11-0.0717%30 Jun
overpass13–9-0.087%29 Jun
inferno13–9-0.0216%29 Jun
inferno9–130.0220%29 Jun
nuke16–12-0.0217%29 Jun
inferno11–13-0.0911%29 Jun
nuke13–60.0523%29 Jun
overpass13–90.0324%29 Jun
anubis15–15-0.0516%29 Jun
ancient11–20.0329%29 Jun
inferno13–7-0.0113%29 Jun
cache13–7-0.0110%24 Jun
dust213–8-0.0427%18 Jun
poseidon3–9-0.087%18 Jun
train13–100.0825%17 Jun
train13–50.0533%17 Jun
inferno13–90.0025%15 Jun
mirage10–13-0.0613%15 Jun
inferno4–13-0.0514%15 Jun
office10–130.0211%12 Jun
cache7–13-0.0220%12 Jun
alpine9–13-0.0015%12 Jun
dust29–13-0.0418%12 Jun
ancient8–130.0715%12 Jun
nuke8–13-0.0221%11 Jun
vertigo13–6-0.0718%9 Jun
vertigo13–9-0.0011%9 Jun
vertigo1–13-0.0615%7 Jun
nuke13–110.0143%7 Jun
anubis13–8-0.037%4 Jun
nuke8–13-0.1316%4 Jun
anubis13–9-0.0111%4 Jun
vertigo13–40.0526%4 Jun
vertigo1–13-0.066%4 Jun
vertigo7–130.0122%4 Jun
inferno13–6-0.0110%4 Jun
vertigo4–13-0.0213%4 Jun
cache1–13-0.0711%4 Jun
inferno5–13-0.0522%4 Jun
anubis12–2-0.0119%28 May
anubis12–120.029%28 May
anubis13–40.0213%24 May
overpass9–13-0.0319%24 May
ancient5–13-0.0217%23 May
ancient13–9-0.0216%22 May
ancient13–8-0.0215%22 May
cache10–130.0822%20 May
poseidon6–9-0.0516%20 May
poseidon8–80.1323%20 May
cache12–120.0516%20 May
inferno5–9-0.1223%20 May
inferno9–40.098%20 May
overpass10–130.0112%18 May
anubis10–130.0226%18 May
cache7–13-0.0020%18 May
anubis16–19-0.0617%18 May
cache13–7-0.0211%18 May
cache16–19-0.0323%18 May
inferno19–16-0.0324%18 May
overpass10–13-0.0124%17 May
inferno13–60.0824%17 May
overpass13–6-0.0121%17 May
cache4–13-0.0412%17 May
nuke6–13-0.0911%17 May
inferno9–10.1320%17 May
inferno13–80.0417%17 May
ancient22–20-0.0415%17 May
ancient16–140.0413%14 May
anubis13–9-0.049%14 May
dust211–13-0.0725%14 May
cache0–10-0.0220%14 May
anubis16–130.0520%14 May
cache2–13-0.0214%14 May
inferno9–13-0.0223%14 May
dust212–12-0.0620%13 May
dust213–8-0.0614%13 May

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 →