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Russer Svin

Russer Svin — CS2 Stats

DK76561198370725662[U:1:410459934]Steam profile ↗

1,780Tracked matches27%Win rate2024Tracked since
CSDB Rating4.1 Developing
FaceitLevel 7 · 1,043 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGRusser SvinFACEITLevel 7 · 1,043 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning60
Utility69

0–100 skill scores via Leetify.

Recent form

COLD35–62–3Last 10035%Win rateWLLLLLLLLW

Last 10 vs previous 10: -10pp win rate · +0.00 avg rating

Player DNA

Aim3.9
Aggression8.0
Utility6.9
Positioning6.0
Opening Duels4.2
Clutch2.6

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

device

Plays most like device 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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. 62% 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 62% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim3.9
Positioning6.0
Utility6.9
Mechanics5.1
Opening Duels4.2
Win Impact0.0

Composite 4.1/10 (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 rating-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time662ms+18ms
first ⅓ avg 643ms → last ⅓ avg 662ms
Headshot accuracy12.6%−4.3%
first ⅓ avg 16.9% → last ⅓ avg 12.6%

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

0.10Best rating — nuke 9–3
13–0Biggest win — mirage
5Longest win streak
9–12In matches decided by ≤2 rounds
14Overtime games

Map breakdown

overpassBest map · 60% over 5infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
ancientC2810–1836%-0.02
nukeB2311–1248%-0.01
mirageD164–1225%-0.02
anubisD93–633%-0.06
infernoD71–614%-0.04
dust2D61–517%-0.03
overpassA53–260%0.02
vertigo—30–30%-0.13
cache—21–150%-0.00
office—11–0100%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,033Matches
49%Win rate
0.97Avg K/D
74.3ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
16%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient20759%1.0014.6
Nuke19854%1.0314.8
Mirage19339%0.9414.4
Dust211844%0.9414.4
Inferno11045%0.9413.8
Anubis9251%0.9614.4
Overpass5553%0.9914.3
Train2945%0.9314.4

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.

12.7%Headshot accuracy
31.0%Accuracy (enemy spotted)
34.3%Spray accuracy
73.1%Counter-strafing
10.9°Preaim
655msReaction time
32.3%T opening success
61.6%CT opening success
0.75Enemies flashed / flash
5.2%Flash assists
8.17HE damage / grenade
12.98Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.7106% — below the 15% mark we flag

    Aim Training →
  2. 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 32.2861% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–9-0.0016%19 Aug →
nuke11–13-0.0515%19 Aug →
ancient11–13-0.0019%18 Aug →
anubis7–13-0.067%17 Aug →
ancient11–13-0.0114%17 Aug →
inferno9–13-0.039%17 Aug →
nuke11–13-0.0316%7 Aug →
dust29–13-0.036%6 Aug →
inferno20–22-0.0416%5 Aug →
nuke13–90.0312%2 Aug →
mirage9–130.0414%31 Jul →
anubis14–16-0.048%30 Jul →
anubis0–13-0.0814%27 Jul →
mirage9–13-0.0418%27 Jul →
nuke19–170.0214%26 Jul →
ancient13–3-0.007%23 Jul →
vertigo4–9-0.207%23 Jul →
mirage7–130.0720%12 Jul →
ancient6–13-0.038%9 Jul →
ancient13–30.047%7 Jul →
nuke9–130.0513%6 Jul →
nuke5–13-0.0215%6 Jul →
mirage5–13-0.0410%5 Jul →
nuke9–13-0.016%2 Jul →
nuke3–13-0.0619%2 Jul →
nuke9–30.1019%2 Jul →
ancient13–90.014%23 Jun →
ancient12–16-0.048%17 Jun →
mirage13–9-0.0216%17 Jun →
mirage8–13-0.0817%6 Jun →
ancient7–13-0.0616%5 Jun →
nuke13–10-0.0416%2 Jun →
nuke13–10-0.0312%1 Jun →
mirage3–13-0.0916%25 May →
ancient4–13-0.0531%25 May →
mirage13–110.0224%25 May →
ancient7–13-0.0417%23 May →
nuke4–90.0212%22 May →
mirage11–13-0.0217%22 May →
nuke8–13-0.057%16 May →
dust210–130.0118%16 May →
ancient15–150.0114%14 May →
mirage11–13-0.0127%9 May →
cache16–14-0.0022%8 May →
ancient8–13-0.049%8 May →
mirage11–13-0.0116%7 May →
overpass13–11-0.0014%7 May →
nuke5–9-0.169%7 May →
cache9–13-0.0015%5 May →
ancient14–16-0.0216%4 May →
vertigo8–8-0.0717%4 May →
ancient9–13-0.0116%27 Apr →
nuke9–30.0611%26 Apr →
vertigo7–9-0.1314%24 Apr →
ancient4–13-0.0425%23 Apr →
nuke1–13-0.0514%22 Apr →
dust24–13-0.0414%21 Apr →
ancient16–14-0.0413%21 Apr →
ancient13–6-0.0919%21 Apr →
anubis13–8-0.0114%21 Apr →
nuke13–60.0622%20 Apr →
nuke13–6-0.0216%19 Apr →
ancient11–13-0.0313%19 Apr →
anubis16–12-0.067%19 Apr →
anubis13–16-0.0813%18 Apr →
overpass13–50.0413%18 Apr →
nuke8–13-0.0214%18 Apr →
dust21–13-0.1313%18 Apr →
nuke13–11-0.0319%18 Apr →
mirage2–13-0.1214%18 Apr →
ancient2–13-0.0215%18 Apr →
ancient13–100.0912%18 Apr →
ancient7–13-0.0418%18 Apr →
overpass9–60.0810%18 Apr →
nuke13–70.0726%17 Apr →
ancient8–13-0.0228%17 Apr →
nuke4–13-0.0421%17 Apr →
anubis4–13-0.0921%16 Apr →
mirage1–13-0.0818%15 Apr →
dust29–130.0222%15 Apr →
mirage7–130.0515%15 Apr →
inferno9–13-0.0712%14 Apr →
overpass12–16-0.0025%14 Apr →
ancient13–8-0.0714%14 Apr →
mirage13–11-0.0116%14 Apr →
ancient2–13-0.0824%13 Apr →
inferno3–13-0.0727%13 Apr →
overpass12–16-0.0410%12 Apr →
anubis13–10-0.0211%10 Apr →
ancient13–100.039%10 Apr →
inferno13–10-0.0215%9 Apr →
inferno10–13-0.0618%7 Apr →
inferno9–130.0111%6 Apr →
ancient13–30.0313%6 Apr →
office13–11-0.0517%5 Apr →
ancient15–15-0.0020%5 Apr →
ancient13–70.0213%5 Apr →
dust213–11-0.0220%5 Apr →
mirage13–00.0323%4 Apr →
anubis12–16-0.088%4 Apr →

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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