U.nskille.D

U.nskille.D — CS2 Stats

DE76561198073780957[U:1:113515229]Steam profile ↗✓ No bans

1,918Tracked matches48%Win rate2020Tracked since
CSDB Rating6.7 SolidClutch Specialist
CSDB Leaderboard#20242 of 259896 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,116 -1,584 2 Apr – 21 Jun · 18 days played
24,99927,759peak 27,7592 Apr21 Jun
27,759Peak Premier in tracked matches
35Days played since 2026-03-13

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

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CSDB.GGU.nskille.DFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim89
Positioning67
Utility61

0–100 skill scores via Leetify.

Recent form

HOT46–49–5Last 10046%Win rateWWLWWWWWLW

Last 10 vs previous 10: +60pp win rate · +0.06 avg rating · +4.2pp headshot accuracy · +57ms reaction

Win rate up 60pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 33%
  • Avg reaction 661ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 34%
  • Avg reaction 648ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 32%
  • Avg reaction 619ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.4 against its own average).

Aim8.9
Utility6.1
Positioning6.7
Opening Duels3.7
Clutch10.0

Sharp aimerReliable in 1v1s

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

iM

Plays most like iM 95% playstyle similarity

Most alike: aim profile, 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

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

T-side openings. Opening success drops from 48% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms 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

Aim8.9
Positioning6.7
Utility6.1
Mechanics7.0
Opening Duels2.6
Win Impact4.4

Composite 6.7/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time615ms−50ms
first ⅓ avg 664ms → last ⅓ avg 615ms
Headshot accuracy30.1%+3.8%
first ⅓ avg 26.3% → last ⅓ avg 30.1%

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

0.17Best match rating · 2–6 · inferno, 19 Mar →
67%Best headshot accuracy · 0–13 · dust2, 17 Jun →
375msFastest reaction time · 11–13 · nuke, 10 Jun →
13–1Biggest win · cache, 8 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 56% over 27ancientWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB2915–1452%0.02
dust2A2715–1256%-0.00
ancientD142–1214%-0.03
cacheB115–645%0.04
mirageB84–450%-0.01
nukeC83–538%-0.01
anubis—22–0100%0.06
overpass—10–10%0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,139Matches
51%Win rate
1.04Avg K/D
86.0ADR
37%Headshot %

Clutches & streaks

100%1v1 clutch win
50%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno1275%1.3217.9
Nuke540%0.8414.4
Vertigo425%1.0715.8
Anubis367%0.9615.3
Ancient3100%1.3819.3
Dust2333%0.9017.0
Mirage2100%1.0821.0
Overpass250%1.2215.5

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.

29.2%Headshot accuracy
38.9%Accuracy (enemy spotted)
37.7%Spray accuracy
81.4%Counter-strafing
7.4°Preaim
615msReaction time
32.9%T opening success
48.2%CT opening success
0.59Enemies flashed / flash
11.9%Flash assists
11.20HE damage / grenade
6.74Flashes / 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

    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 32.9259% — below the 40% mark we flag

Spend your practice time on Ancient

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

14% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0624%30 Aug →
cache13–40.0260%30 Aug →
cache6–130.0224%23 Jul →
mirage13–80.0627%23 Jul →
dust213–40.0528%21 Jun →
inferno13–50.0940%21 Jun →
inferno13–90.0224%17 Jun →
dust213–90.0423%17 Jun →
dust20–13-0.0667%17 Jun →
dust213–110.0119%16 Jun →
ancient9–13-0.0636%10 Jun →
nuke11–13-0.0517%10 Jun →
inferno3–13-0.0620%10 Jun →
ancient8–13-0.0128%10 Jun →
dust213–70.0225%26 May →
ancient6–13-0.0128%26 May →
dust22–13-0.1033%25 May →
inferno13–80.0636%25 May →
nuke0–5-0.0350%25 May →
mirage8–13-0.0520%25 May →
mirage13–60.0331%17 May →
ancient6–13-0.0226%17 May →
inferno11–13-0.0128%17 May →
inferno13–160.0734%8 May →
inferno14–160.0526%8 May →
ancient2–13-0.0922%8 May →
cache13–10.1019%8 May →
cache12–120.0631%7 May →
cache13–40.0533%7 May →
dust213–90.0028%7 May →
cache12–120.0930%7 May →
cache13–40.0924%6 May →
cache12–12-0.0129%6 May →
inferno13–50.1323%5 May →
inferno13–10-0.0220%4 May →
inferno13–10.1330%4 May →
dust213–70.0032%4 May →
cache13–70.0421%4 May →
inferno8–13-0.0419%30 Apr →
cache11–130.0320%29 Apr →
cache8–13-0.0325%29 Apr →
inferno13–70.0019%29 Apr →
nuke13–11-0.0335%28 Apr →
ancient13–100.0220%28 Apr →
inferno9–13-0.0429%24 Apr →
dust213–5-0.0119%24 Apr →
ancient11–130.0222%24 Apr →
mirage9–13-0.0624%23 Apr →
inferno10–130.0230%20 Apr →
mirage7–13-0.0237%20 Apr →
nuke11–130.0127%20 Apr →
dust28–13-0.0128%20 Apr →
anubis13–90.0533%19 Apr →
dust213–40.0521%18 Apr →
ancient10–13-0.0311%18 Apr →
nuke16–130.0133%18 Apr →
inferno4–13-0.0530%18 Apr →
ancient9–130.0227%16 Apr →
inferno6–13-0.0517%16 Apr →
inferno10–130.0125%16 Apr →
inferno13–2-0.0321%11 Apr →
dust213–50.0818%11 Apr →
ancient16–130.0423%11 Apr →
inferno13–40.0927%11 Apr →
dust211–13-0.0514%11 Apr →
dust211–13-0.0226%8 Apr →
inferno4–13-0.0615%8 Apr →
nuke10–13-0.0026%8 Apr →
inferno13–60.0234%7 Apr →
ancient6–13-0.1121%7 Apr →
inferno13–70.0724%7 Apr →
nuke13–50.0429%6 Apr →
nuke10–13-0.0421%6 Apr →
dust212–12-0.0618%4 Apr →
dust213–5-0.0024%4 Apr →
dust213–6-0.0115%4 Apr →
dust28–130.0116%4 Apr →
inferno13–110.0231%2 Apr →
dust27–13-0.0333%2 Apr →
mirage13–9-0.0016%2 Apr →
dust213–60.0340%2 Apr →
anubis13–90.0620%2 Apr →
inferno5–13-0.0132%31 Mar →
inferno13–60.1128%31 Mar →
inferno12–12-0.0026%30 Mar →
dust28–13-0.0235%30 Mar →
dust213–5-0.0238%30 Mar →
inferno13–80.0122%30 Mar →
inferno13–11-0.0611%27 Mar →
dust26–13-0.0428%27 Mar →
mirage13–60.0311%27 Mar →
dust22–70.0864%27 Mar →
dust213–5-0.0313%27 Mar →
overpass10–130.0830%19 Mar →
mirage1–13-0.0822%19 Mar →
inferno2–60.1738%19 Mar →
ancient5–13-0.0529%18 Mar →
dust24–13-0.0230%18 Mar →
ancient4–13-0.0526%13 Mar →
ancient7–13-0.0319%13 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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