-ÐeŠwaii

-ÐeŠwaii — CS2 Stats

76561198452313504[U:1:492047776]Steam profile ↗✓ No bans

970Tracked matches59%Win rate2020Tracked since
CSDB Rating7.2 StrongPositional Player
FaceitLevel 6Top 54.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,514 -1,060 21 Mar – 31 Mar · 2 days played
15,51416,574peak 16,57421 Mar31 Mar
16,574Peak Premier in tracked matches
60Days played since 2026-01-04

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

Share this profile

CSDB.GG-ÐeŠwaiiFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning59
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWLLLLWTWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +5.9pp headshot accuracy · +33ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 591ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 584ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 567ms

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 (+1.3 against its own average).

Aim8.5
Utility5.2
Positioning5.9
Opening Duels4.1
Clutch3.2

Sharp aimerExcellent 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

jL

Plays most like jL 97% playstyle similarity

Most alike: aim profile, opening-duel success.

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

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 581ms 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

Aim8.5
Positioning5.9
Utility5.2
Mechanics8.8
Opening Duels5.2
Win Impact8.1

Composite 7.2/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time592ms−84ms
first ⅓ avg 675ms → last ⅓ avg 592ms
Headshot accuracy21.3%−3.2%
first ⅓ avg 24.5% → last ⅓ avg 21.3%

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

0.11Best match rating · 16–13 · inferno, 15 Mar →
58%Best headshot accuracy · 13–2 · mirage, 5 Jan →
422msFastest reaction time · 10–13 · mirage, 26 Jan →
13–1Biggest win · cache, 3 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
9–5In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 57% over 21cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B3015–1550%0.00
infernoA2112–957%0.01
mirageC145–936%0.01
cacheD124–833%0.03
nukeA116–555%0.00
overpass—41–325%-0.00
train—32–167%0.07
ancient—20–20%-0.03
vertigo—10–10%0.11
warden—10–10%0.03
anubis—11–0100%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

738Matches
51%Win rate
0.95Avg K/D
69.3ADR
50%Headshot %

Clutches & streaks

36%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno10046%0.9514.6
Dust29542%0.9313.8
Anubis7057%1.0014.9
Mirage6148%1.0013.7
Ancient3941%0.9113.0
Nuke1662%1.0017.0
Vertigo956%0.8113.0
Overpass650%0.9813.5

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.

21.7%Headshot accuracy
35.5%Accuracy (enemy spotted)
38.6%Spray accuracy
89.7%Counter-strafing
8.4°Preaim
581msReaction time
57.0%T opening success
44.8%CT opening success
0.53Enemies flashed / flash
4.7%Flash assists
9.10HE damage / grenade
10.22Flashes / match

Recommended for you

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–10.1034%3 Nov →
dust213–80.0933%27 Oct →
dust26–130.0119%24 Oct →
cache4–13-0.0424%24 Oct →
mirage7–130.0522%24 Oct →
inferno5–9-0.1317%24 Oct →
dust213–40.069%24 Oct →
inferno12–120.0621%24 Oct →
nuke13–20.0234%22 Oct →
ancient3–13-0.0612%19 Oct →
dust23–13-0.0219%19 Oct →
nuke9–50.0620%19 Oct →
dust212–12-0.0112%10 Oct →
cache5–13-0.0123%10 Oct →
dust213–3-0.0719%10 Oct →
dust213–80.0717%10 Oct →
cache9–130.0523%8 Oct →
dust22–13-0.094%6 Oct →
dust26–13-0.0810%5 Oct →
dust213–2-0.0119%3 Oct →
train13–90.1028%3 Oct →
vertigo12–120.1123%3 Oct →
dust216–14-0.0421%1 Oct →
cache7–13-0.0519%21 Sept →
dust213–70.0019%21 Sept →
train4–00.0318%21 Sept →
dust213–110.0720%19 Sept →
inferno13–50.0132%14 Sept →
nuke13–80.0326%11 Sept →
cache13–70.0835%8 Sept →
inferno7–130.0731%8 Sept →
dust213–20.0623%8 Sept →
mirage2–13-0.1017%7 Sept →
mirage3–13-0.0416%29 Aug →
inferno11–13-0.0217%29 Aug →
dust24–13-0.0423%29 Aug →
dust25–130.0524%25 Aug →
cache6–130.0725%25 Aug →
inferno13–4-0.0214%25 Aug →
nuke13–110.0320%24 Aug →
inferno13–40.0924%24 Aug →
cache8–130.0124%23 Aug →
cache8–13-0.0028%22 Aug →
dust27–13-0.0121%19 Aug →
inferno11–130.0219%17 Aug →
cache16–130.0632%17 Aug →
cache13–110.0135%16 Aug →
inferno6–13-0.0123%14 Aug →
dust211–130.0527%12 Jun →
inferno11–130.0721%8 Jun →
mirage8–130.0224%27 May →
nuke2–9-0.0921%10 May →
inferno13–110.0529%10 May →
overpass12–120.0718%9 May →
nuke4–13-0.0622%7 May →
cache7–130.0422%7 May →
warden3–120.0336%7 May →
dust24–130.0122%3 May →
dust24–13-0.0629%19 Apr →
dust27–13-0.0717%19 Apr →
inferno8–13-0.0623%6 Apr →
dust213–110.0126%6 Apr →
nuke13–50.026%31 Mar →
dust215–15-0.0125%31 Mar →
overpass8–13-0.0424%22 Mar →
inferno13–100.0127%21 Mar →
nuke13–50.0836%20 Mar →
inferno13–9-0.0426%16 Mar →
dust213–60.0723%16 Mar →
inferno16–130.1128%15 Mar →
anubis13–11-0.0313%3 Mar →
ancient7–130.0115%2 Mar →
dust213–50.0412%28 Feb →
mirage13–20.1017%27 Feb →
overpass13–11-0.0418%27 Feb →
mirage13–16-0.0127%26 Feb →
dust213–8-0.0224%25 Feb →
dust27–13-0.0432%24 Feb →
mirage16–130.0124%24 Feb →
nuke6–13-0.0434%24 Feb →
inferno16–120.0418%24 Feb →
dust213–90.0127%16 Feb →
mirage9–130.0521%13 Feb →
dust211–130.0523%13 Feb →
mirage13–11-0.0420%9 Feb →
overpass4–13-0.0024%9 Feb →
nuke5–130.0226%8 Feb →
train10–130.0731%8 Feb →
mirage7–130.0523%7 Feb →
inferno13–7-0.0220%5 Feb →
mirage13–8-0.0418%4 Feb →
dust213–60.0021%4 Feb →
inferno13–30.0320%4 Feb →
mirage10–130.0534%26 Jan →
inferno13–6-0.0133%9 Jan →
nuke12–12-0.0421%9 Jan →
mirage7–130.0016%9 Jan →
inferno5–13-0.0519%6 Jan →
mirage13–20.0758%5 Jan →
inferno13–100.0742%4 Jan →

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 →

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