Omni

Omni — CS2 Stats

DK76561197974657553[U:1:14391825]Steam profile ↗✓ No bans

255Tracked matches50%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+4Tracked matches · now 255
0.0ppWin rate · 50.0% → 50.0%

Rating over time

44Days played since 2020-05-31

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGOmniFACEITLevel 7STANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim69
Positioning68
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY46–54Last 10046%Win rateLLWWWWWLLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.0pp headshot accuracy · −49ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 27%
  • Avg reaction 656ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 610ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 634ms

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: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim6.9
Utility5.1
Positioning6.8
Opening Duels4.9

Excellent counter-strafing

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

donk

Plays most like donk 86% 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

Reaction time. 623ms 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

Aim6.9
Positioning6.8
Utility5.1
Mechanics8.5
Opening Duels4.3
Win Impact5.0

Composite 6.4/10 (Solid), 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 time638ms+161ms
first ⅓ avg 478ms → last ⅓ avg 638ms
Headshot accuracy23.8%+4.0%
first ⅓ avg 19.7% → last ⅓ avg 23.8%

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

0.15Best match rating · 13–4 · anubis, 1 Sept →
36%Best headshot accuracy · 13–10 · ancient, 12 Sept →
232msFastest reaction time · 19–22 · mirage, 9 Jun →
16–3Biggest win · inferno, 11 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
9–8In matches decided by ≤2 rounds
77Overtime games

Map breakdown

nukeBest map · 61% over 18mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC2812–1643%0.01
nukeA1811–761%0.00
overpassC167–944%0.02
vertigoC166–1038%0.02
ancientB84–450%0.05
mirageD50–50%-0.00
train—44–0100%-0.00
anubis—21–150%0.04
dust2—20–20%0.00
cache—11–0100%0.13

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 5 essential Mirage 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.

23.3%Headshot accuracy
33.6%Accuracy (enemy spotted)
31.0%Spray accuracy
88.4%Counter-strafing
11.2°Preaim
623msReaction time
40.9%T opening success
53.6%CT opening success
0.51Enemies flashed / flash
7.9%Flash assists
12.02HE damage / grenade
8.78Flashes / match

Recommended for you

Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–16-0.0033%13 Oct →
mirage5–13-0.0226%13 Oct →
nuke13–80.0225%13 Oct →
ancient13–80.1129%13 Oct →
overpass13–30.0622%17 Sept →
nuke16–14-0.0119%12 Sept →
ancient13–100.1336%12 Sept →
ancient7–130.0822%8 Sept →
anubis6–13-0.0628%8 Sept →
inferno13–11-0.0024%8 Sept →
overpass5–13-0.0221%2 Sept →
ancient13–30.0017%2 Sept →
anubis13–40.1534%1 Sept →
inferno7–130.0330%1 Sept →
overpass13–50.0021%27 May →
nuke8–13-0.0220%27 May →
cache13–110.1318%27 May →
ancient10–130.0230%16 Aug →
nuke13–110.0423%16 Aug →
inferno13–70.0230%19 Jan →
nuke3–9-0.0526%10 Jan →
nuke10–160.0116%12 Jul →
mirage7–160.0118%12 Jul →
inferno14–16-0.0129%12 Jul →
overpass13–160.1019%12 Jul →
vertigo16–80.0523%12 Jul →
inferno17–190.0222%9 Jul →
nuke16–11-0.0120%9 Jul →
ancient6–16-0.0520%9 Jul →
overpass23–25-0.0219%9 Jul →
vertigo16–110.0116%4 Jul →
overpass22–190.0120%4 Jul →
overpass9–50.0130%4 Jul →
overpass7–160.0225%2 Jul →
nuke10–160.0217%2 Jul →
vertigo15–19-0.0518%2 Jul →
vertigo25–23-0.0218%25 Jun →
inferno9–16-0.069%25 Jun →
nuke16–6-0.019%25 Jun →
vertigo17–190.0216%16 Jun →
ancient7–160.0119%16 Jun →
nuke11–160.0212%16 Jun →
inferno4–16-0.0614%16 Jun →
vertigo13–160.0214%16 Jun →
inferno16–80.0220%11 Jun →
nuke16–70.0816%11 Jun →
vertigo16–40.1417%11 Jun →
inferno8–160.0222%11 Jun →
nuke16–14-0.0317%29 May →
vertigo3–160.0427%29 May →
inferno13–160.0331%29 May →
overpass9–16-0.0117%29 May →
vertigo9–16-0.0422%28 May →
nuke16–70.0231%28 May →
inferno11–16-0.0224%28 May →
inferno16–30.0225%11 May →
vertigo14–160.0631%6 May →
nuke16–140.0123%1 May →
overpass16–19-0.0023%1 May →
overpass16–120.0721%30 Apr →
inferno16–130.0429%27 Apr →
ancient16–80.1019%27 Apr →
nuke16–13-0.0322%27 Apr →
vertigo5–160.0113%27 Apr →
inferno5–160.0221%25 Apr →
vertigo13–16-0.0119%25 Apr →
inferno16–12-0.0022%25 Apr →
vertigo13–20.1013%25 Apr →
vertigo8–3-0.0333%17 Apr →
inferno16–50.0923%10 Mar →
vertigo9–160.0223%10 Mar →
inferno16–90.0523%3 Aug →
train16–10-0.0225%20 May →
inferno1–90.0522%13 May →
overpass14–160.0629%23 Apr →
inferno16–30.0035%17 Mar →
dust26–160.0023%7 Feb →
train16–100.0025%9 Jan →
inferno13–160.0018%9 Jan →
train16–50.0015%18 Dec →
inferno13–160.0011%14 Dec →
mirage3–160.0024%13 Dec →
overpass14–160.0013%13 Dec →
nuke4–160.0021%16 Jun →
vertigo9–160.0015%12 Jun →
inferno16–120.0010%12 Jun →
overpass12–160.0013%12 Jun →
dust214–160.0018%10 Jun →
nuke11–160.0018%10 Jun →
nuke25–230.0019%10 Jun →
mirage19–220.008%9 Jun →
overpass16–140.0019%9 Jun →
inferno19–160.0016%9 Jun →
inferno10–160.0033%9 Jun →
mirage11–160.0025%4 Jun →
inferno11–160.0017%4 Jun →
overpass19–160.0019%1 Jun →
inferno16–90.0019%1 Jun →
inferno15–190.0013%31 May →
train16–130.0016%31 May →

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 →

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