Skodo

Skodo — CS2 Stats

PRO“AAW”WOPADenmarkAWPerSettings & gear profile →

76561198365350093[U:1:405084365]Steam profile ↗✓ No bans

3,390Tracked matches77%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,390 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Faceit ELO: 3,368 +0 28 Aug – 30 Sept · 8 observations
3,3683,368peak 3,36828 Aug30 Sept
3,368Highest Faceit ELO seen on CSDB
42Days played since 2025-06-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGSkodoFACEITLevel 10STANDINGTop 12.4% of rankedPEAK ELO3,368csdb.gg/stats

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Performance scores

Aim81
Positioning69
Utility76

0–100 skill scores via Leetify.

Recent form

HOT56–44Last 10056%Win rateWLWWWWWWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.8pp headshot accuracy · +104ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

Last 20

  • 16–4 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 507ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim8.1
Utility7.6
Positioning6.9
Opening Duels5.8
Clutch3.6

High utility contribution

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

jL

Plays most like jL 81% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 41% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 66% 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

Aim8.1
Positioning6.9
Utility7.6
Mechanics3.5
Opening Duels5.0
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time490ms+21ms
first ⅓ avg 469ms → last ⅓ avg 490ms
Headshot accuracy20.2%−3.2%
first ⅓ avg 23.4% → last ⅓ avg 20.2%

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

0.16Best match rating · 13–2 · train, 6 Sept →
75%Best headshot accuracy · 13–6 · mirage, 6 Aug →
313msFastest reaction time · 13–1 · ancient, 30 Sept →
13–0Biggest win · nuke, 1 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–6In matches decided by ≤2 rounds
17Overtime games

Map breakdown

mirageBest map · 79% over 14overpassWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeA2214–864%0.01
ancientB178–947%0.01
infernoA1710–759%0.01
trainB158–753%0.01
mirageS1411–379%0.03
overpassD103–730%-0.03
anubis—21–150%-0.02
dust2—20–20%0.01
vertigo—11–0100%0.11

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

8,680Matches
54%Win rate
1.18Avg K/D
76.6ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
12Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage61856%1.2716.9
Ancient33150%1.0715.4
Nuke30563%1.2917.3
Dust215849%1.1215.7
Anubis13242%1.1015.4
Vertigo9254%1.2217.6
Train6667%1.1216.3
Overpass6562%1.2617.8

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$20Inventory value37ItemsFull inventory breakdown →
StatTrak™ M4A4 | Turbine (Field-Tested)$5USP-S | Alpine Camo (Factory New)$3P250 | Sand Dune (Factory New)$2M4A1-S | Night Terror (Minimal Wear)$1StatTrak™ MAG-7 | Monster Call (Field-Tested)$1StatTrak™ Galil AR | Control (Field-Tested)$1

Skill profile

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

20.2%Headshot accuracy
37.7%Accuracy (enemy spotted)
35.7%Spray accuracy
65.7%Counter-strafing
7.0°Preaim
487msReaction time
41.0%T opening success
58.7%CT opening success
0.66Enemies flashed / flash
13.4%Flash assists
7.15HE damage / grenade
15.19Flashes / match

Recommended for you

Spend your practice time on Overpass

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–30.1114%21 Mar →
ancient8–13-0.0319%16 Oct →
inferno13–5-0.018%16 Oct →
overpass13–11-0.0317%16 Oct →
overpass13–50.0016%15 Oct →
nuke13–70.0631%15 Oct →
inferno13–10.039%14 Oct →
mirage13–9-0.0132%12 Oct →
nuke9–13-0.0519%4 Oct →
ancient13–110.008%2 Oct →
nuke16–140.017%2 Oct →
inferno8–13-0.0133%2 Oct →
ancient13–10.0718%1 Oct →
inferno13–60.0322%1 Oct →
inferno16–130.0725%30 Sept →
overpass14–16-0.0016%30 Sept →
ancient13–10.0238%30 Sept →
nuke13–4-0.0015%30 Sept →
ancient19–170.005%30 Sept →
nuke13–110.0933%29 Sept →
inferno13–70.0326%29 Sept →
inferno12–160.0121%25 Sept →
train9–13-0.0421%25 Sept →
nuke13–30.0642%19 Sept →
inferno13–40.1220%12 Sept →
mirage13–100.0613%12 Sept →
ancient11–130.0023%12 Sept →
nuke13–110.0421%11 Sept →
mirage13–90.0115%11 Sept →
nuke19–150.0219%10 Sept →
inferno13–100.0233%10 Sept →
overpass5–13-0.0620%9 Sept →
nuke6–13-0.036%9 Sept →
inferno13–8-0.0039%9 Sept →
mirage13–100.0615%9 Sept →
inferno13–70.0114%9 Sept →
ancient8–130.0125%8 Sept →
mirage6–13-0.0125%8 Sept →
inferno13–10-0.0123%8 Sept →
train13–20.1630%6 Sept →
mirage13–60.1037%6 Sept →
overpass8–13-0.060%4 Sept →
nuke7–13-0.047%4 Sept →
train2–13-0.0910%2 Sept →
nuke13–10-0.0112%2 Sept →
ancient13–8-0.0021%2 Sept →
inferno10–13-0.0617%20 Aug →
train13–100.0033%20 Aug →
ancient7–13-0.0232%20 Aug →
overpass8–13-0.056%19 Aug →
nuke4–130.0115%19 Aug →
ancient8–13-0.0533%18 Aug →
inferno7–13-0.0522%18 Aug →
train3–13-0.0426%17 Aug →
overpass4–13-0.0413%17 Aug →
ancient13–90.0533%16 Aug →
inferno14–160.0225%16 Aug →
train13–60.0512%16 Aug →
mirage13–90.0918%15 Aug →
train13–40.0335%15 Aug →
nuke15–190.0225%10 Aug →
train14–160.0525%10 Aug →
mirage13–6-0.0475%6 Aug →
train7–13-0.0110%6 Aug →
overpass13–100.056%6 Aug →
overpass2–13-0.0419%2 Aug →
inferno7–13-0.0033%1 Aug →
overpass5–13-0.0737%30 Jul →
mirage13–100.0019%30 Jul →
ancient16–120.0413%30 Jul →
mirage11–13-0.0129%28 Jul →
ancient7–13-0.0217%28 Jul →
ancient10–130.0514%15 Jul →
nuke13–30.0331%14 Jul →
anubis6–13-0.0315%14 Jul →
mirage13–50.0922%14 Jul →
anubis16–14-0.0019%12 Jul →
nuke16–14-0.0123%12 Jul →
nuke9–13-0.0514%12 Jul →
dust213–160.0016%12 Jul →
nuke19–150.0237%11 Jul →
train7–13-0.0426%11 Jul →
train13–80.0319%10 Jul →
mirage19–160.0812%10 Jul →
train13–70.0624%9 Jul →
inferno7–130.0035%9 Jul →
nuke13–60.0722%9 Jul →
ancient16–15-0.0217%9 Jul →
nuke3–13-0.0740%9 Jul →
train8–13-0.0750%5 Jul →
ancient11–13-0.0317%5 Jul →
mirage13–50.0717%5 Jul →
train13–40.0430%1 Jul →
dust27–130.0229%1 Jul →
nuke13–00.0821%1 Jul →
nuke6–13-0.0214%27 Jun →
mirage7–13-0.0331%27 Jun →
train13–70.0125%23 Jun →
ancient13–160.0123%23 Jun →
nuke13–110.0215%23 Jun →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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