ilikeGnedel88

ilikeGnedel88 — CS2 Stats

DE76561199129787520[U:1:1169521792]Steam profile ↗✓ No bans

424Tracked matches31%Win rate2021Tracked since
CSDB Rating4.1 DevelopingSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 77 days played since 7 Jan 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 2,297 -946 17 Jan10 Jan · 34 days played
1,1693,486peak 3,48617 Jan10 Jan
3,486Peak Premier in tracked matches
77Days played since 2025-01-07

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGilikeGnedel88FACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim47
Positioning35
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY34633Last 10034%Win rateWLWLLWTLLW

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · −1.4pp headshot accuracy · +5ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 645ms

Last 10

  • 451 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 641ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 639ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+1.5 against its own average).

Aim4.7
Utility4.7
Positioning3.5
Opening Duels1.5

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 648ms 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

Aim4.7
Positioning3.5
Utility4.7
Mechanics7.2
Opening Duels1.6
Win Impact0.0

Composite 4.1/10 (Developing), 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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time649ms−80ms
first ⅓ avg 729ms → last ⅓ avg 649ms
Headshot accuracy17.7%+0.4%
first ⅓ avg 17.3% → 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.

Personal bests

0.07Best match rating · 9–4 · inferno, 7 Jan
50%Best headshot accuracy · 2–8 · mirage, 22 Mar
492msFastest reaction time · 13–11 · cache, 24 Aug
13–0Biggest win · inferno, 15 Jul

Across the last 100 tracked matches.

Highlights

4Longest win streak
54In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 67% over 6nukeWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
mirageD2451921%-0.03
infernoC23101343%-0.03
dust2B168850%-0.03
nukeD1321115%-0.04
overpassS64267%-0.05
train41325%-0.03
cache32167%-0.07
anubis3030%-0.04
ancient3030%-0.03
vertigo21150%-0.04
poseidon1010%-0.31
grail110100%-0.04
jura1010%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.4%Headshot accuracy
27.6%Accuracy (enemy spotted)
27.9%Spray accuracy
82.3%Counter-strafing
9.8°Preaim
648msReaction time
27.2%T opening success
42.8%CT opening success
0.65Enemies flashed / flash
3.6%Flash assists
10.82HE damage / grenade
3.87Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8744 — below the 4 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 27.1708% — below the 40% mark we flag

Spend your practice time on Nuke

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–5-0.0625%31 Aug
mirage4–13-0.099%29 Aug
dust213–20.0522%29 Aug
inferno4–13-0.0723%25 Aug
inferno5–13-0.0433%25 Aug
cache13–11-0.0820%24 Aug
nuke12–12-0.098%24 Aug
cache1–13-0.0910%8 Jun
nuke5–13-0.060%8 Jun
cache13–5-0.067%6 Jun
poseidon2–9-0.3110%6 Jun
inferno5–90.0317%23 Feb
nuke10–13-0.0125%17 Feb
dust213–5-0.0417%15 Feb
nuke13–40.0210%15 Feb
anubis3–130.0017%10 Feb
mirage13–110.0518%9 Feb
mirage4–13-0.0325%9 Feb
mirage7–13-0.0614%6 Feb
anubis11–13-0.0718%6 Feb
train4–130.0126%2 Feb
mirage13–10-0.0419%30 Jan
inferno13–10-0.0213%10 Jan
mirage10–13-0.0215%8 Jan
mirage3–13-0.0424%22 Dec
nuke6–13-0.0621%14 Dec
inferno7–13-0.0618%9 Dec
mirage8–130.0115%4 Dec
overpass5–13-0.1112%3 Nov
anubis2–13-0.0515%2 Nov
train10–13-0.0722%19 Oct
nuke8–13-0.0821%17 Oct
inferno1–13-0.0833%12 Oct
inferno6–13-0.089%5 Oct
ancient15–15-0.0210%28 Sept
vertigo13–5-0.0518%28 Sept
inferno13–20.0318%26 Sept
overpass13–70.0214%25 Sept
mirage13–11-0.0018%23 Sept
mirage8–13-0.0621%20 Sept
mirage14–16-0.038%19 Sept
inferno6–9-0.0314%19 Sept
mirage10–130.0116%24 Aug
dust213–20.0124%22 Aug
dust210–130.0211%2 Aug
mirage8–13-0.0321%26 Jul
dust26–13-0.0511%23 Jul
inferno7–13-0.0119%23 Jul
overpass13–10-0.056%18 Jul
nuke4–130.0625%15 Jul
inferno13–4-0.0216%15 Jul
inferno13–00.0425%15 Jul
inferno11–130.0637%6 Jul
dust25–13-0.0613%30 Jun
ancient3–130.0229%26 Jun
vertigo4–13-0.0423%17 Jun
mirage4–13-0.030%16 Jun
grail13–10-0.047%7 Jun
nuke12–12-0.0613%1 Jun
jura4–13-0.0512%27 May
nuke6–130.0211%23 May
inferno6–9-0.1219%23 May
mirage10–13-0.015%25 Apr
ancient5–13-0.0915%25 Apr
inferno5–13-0.0914%21 Apr
inferno6–13-0.0632%21 Apr
inferno10–13-0.0519%18 Apr
inferno9–5-0.0413%18 Apr
mirage1–13-0.0535%14 Apr
inferno13–110.0014%11 Apr
overpass9–5-0.023%11 Apr
mirage3–13-0.0314%31 Mar
inferno13–9-0.0511%26 Mar
mirage2–8-0.0450%22 Mar
mirage11–13-0.0612%17 Mar
dust213–11-0.0119%16 Mar
dust25–13-0.0111%13 Mar
inferno13–6-0.0122%10 Mar
dust213–7-0.0524%5 Mar
dust26–13-0.0617%3 Mar
dust22–13-0.0412%26 Feb
overpass6–13-0.1130%21 Feb
mirage3–13-0.0719%19 Feb
dust213–4-0.025%18 Feb
mirage3–13-0.0922%13 Feb
overpass13–8-0.0316%6 Feb
mirage4–13-0.0611%4 Feb
train2–13-0.0819%4 Feb
dust24–13-0.1113%4 Feb
mirage16–13-0.0118%3 Feb
dust28–13-0.0418%2 Feb
dust213–2-0.0135%1 Feb
mirage13–6-0.039%1 Feb
nuke5–13-0.0915%30 Jan
train13–40.0128%27 Jan
nuke2–13-0.0724%27 Jan
nuke2–13-0.074%23 Jan
inferno13–3-0.067%23 Jan
nuke13–70.0112%17 Jan
inferno9–40.0710%7 Jan

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 →