skrt4

skrt4 — CS2 Stats

SK76561199485732336[U:1:1525466608]Steam profile ↗

1,080Tracked matches60%Win rate2023Tracked since
CSDB Rating5.3 DevelopingHybrid Rifler
CSDB Leaderboard#5188 of 5294 tracked
FaceitLevel 8 · 1,261 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

1,261Peak Faceit ELO on CSDB
1Days observed since 2026-08-27

Faceit ELO

  • At peak — 1,261
  • Next: Level 7 at 1,351 90 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGskrt4FACEITLevel 8 · 1,261 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,261csdb.gg/stats

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Performance scores

Aim64
Positioning64
Utility40

0–100 skill scores via Leetify.

Recent form

COLD5842Last 10058%Win rateLLLLLLWWLW

Last 10 vs previous 10: -50pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression9.5
Utility4.0
Positioning6.4
Opening Duels5.7
Clutch2.6

Strong CT-side opener

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

Your pro match

sh1ro

Plays most like sh1ro 85% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

Strengths

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 68% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim6.4
Positioning6.4
Utility4.0
Mechanics4.4
Opening Duels5.7
Win Impact8.3

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time617ms−40ms
first ⅓ avg 657ms → last ⅓ avg 617ms
Headshot accuracy18.3%+0.2%
first ⅓ avg 18.1% → last ⅓ avg 18.3%

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.

Highlights

0.13Best rating — dust2 13–9
133Biggest win — cache
8Longest win streak
L6Current streak
1414In matches decided by ≤2 rounds
17Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS37241365%0.01
dust2B158753%0.02
ancientB147750%-0.01
cacheS107370%0.01
infernoD93633%0.01
nukeA85363%-0.01
anubisA74357%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,119Matches
49%Win rate
0.98Avg K/D
84.4ADR
50%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage35649%0.9817.0
Dust220151%1.0316.9
Ancient14150%0.9215.5
Inferno13744%0.9816.0
Nuke11954%1.0416.7
Anubis11245%0.9516.6
Train2650%0.9615.6
Cache2050%1.0917.2

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.

18.2%Headshot accuracy
35.2%Accuracy (enemy spotted)
41.3%Spray accuracy
69.7%Counter-strafing
9.9°Preaim
616msReaction time
37.5%T opening success
67.9%CT opening success
0.51Enemies flashed / flash
5.0%Flash assists
6.18HE damage / grenade
9.39Flashes / 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 37.4676% — below the 40% mark we flag

Spend your practice time on Inferno

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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–160.0712%18 Aug
mirage10–13-0.0225%18 Aug
mirage7–13-0.0513%18 Aug
cache14–16-0.0511%14 Aug
anubis17–19-0.0314%12 Aug
mirage7–13-0.0321%12 Aug
mirage16–130.0319%12 Aug
anubis13–110.0212%11 Aug
ancient4–13-0.0415%11 Aug
anubis13–110.1021%11 Aug
anubis10–13-0.0214%11 Aug
mirage13–50.0016%11 Aug
mirage13–7-0.0715%7 Aug
dust27–130.0116%6 Aug
anubis13–10-0.0313%6 Aug
dust219–150.0621%6 Aug
mirage13–80.0023%6 Aug
cache13–60.0631%6 Aug
dust213–80.0531%6 Aug
nuke13–90.0526%6 Aug
mirage13–40.0022%6 Aug
mirage13–110.0016%6 Aug
mirage23–250.0219%5 Aug
cache10–13-0.0430%2 Aug
dust213–6-0.0420%1 Aug
inferno11–13-0.0914%1 Aug
ancient13–11-0.0217%31 Jul
nuke13–60.0413%31 Jul
ancient13–80.0224%31 Jul
inferno13–100.0211%31 Jul
ancient11–13-0.0014%31 Jul
cache13–30.1227%31 Jul
cache5–13-0.0410%29 Jul
dust211–13-0.0318%29 Jul
cache13–70.0424%29 Jul
ancient13–70.0713%29 Jul
ancient14–16-0.0124%28 Jul
mirage13–100.0629%28 Jul
nuke13–6-0.0319%27 Jul
cache13–10-0.018%27 Jul
ancient9–13-0.0019%27 Jul
inferno13–40.0619%27 Jul
dust213–50.1119%27 Jul
mirage13–80.0325%26 Jul
nuke13–5-0.0412%26 Jul
ancient1–13-0.0612%26 Jul
dust25–130.0214%26 Jul
mirage9–13-0.0811%26 Jul
mirage13–70.0011%23 Jul
mirage16–140.0311%23 Jul
cache13–40.0212%23 Jul
nuke10–13-0.0512%22 Jul
cache13–11-0.0123%22 Jul
ancient16–14-0.039%22 Jul
mirage13–11-0.0218%22 Jul
dust213–9-0.0323%21 Jul
mirage10–13-0.0312%21 Jul
dust213–11-0.0214%21 Jul
ancient13–100.0013%21 Jul
mirage13–70.0216%21 Jul
cache13–90.0112%21 Jul
anubis14–160.0313%21 Jul
mirage19–160.0614%21 Jul
mirage13–160.0117%18 Jul
mirage13–6-0.0218%18 Jul
mirage0–110.0225%18 Jul
mirage13–11-0.0223%17 Jul
anubis13–110.0221%11 Jul
ancient13–7-0.0322%11 Jul
inferno14–16-0.0020%10 Jul
dust25–130.0213%10 Jul
mirage13–7-0.0020%3 Jul
mirage13–110.0416%29 Jun
mirage13–100.0323%26 Jun
ancient11–13-0.0612%25 Jun
dust217–19-0.0312%24 Apr
inferno11–13-0.0312%24 Apr
mirage13–90.0511%23 Apr
dust213–90.1329%20 Apr
mirage9–13-0.008%19 Apr
mirage14–160.0114%19 Apr
mirage13–50.0519%19 Apr
dust213–60.0518%19 Apr
ancient13–80.0313%19 Apr
nuke13–70.0421%18 Apr
dust214–16-0.0314%18 Apr
inferno8–130.0713%18 Apr
mirage13–100.0824%11 Apr
mirage13–60.0421%10 Apr
mirage25–23-0.0111%18 Feb
nuke3–13-0.0216%17 Feb
dust27–13-0.0323%30 Dec
mirage5–13-0.0220%27 Oct
inferno6–13-0.0520%24 Oct
inferno2–00.1043%24 Oct
mirage13–6-0.0115%24 Oct
mirage5–130.0226%31 Jul
nuke6–13-0.0816%31 Jul
ancient10–130.0014%27 Jul
inferno9–13-0.0114%27 Jul

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 →