Swim Kiks

Swim Kiks — CS2 Stats

EE76561198045907593[U:1:85641865]Steam profile ↗✓ No bans

1,369Tracked matches57%Win rate2020Tracked since
3,882Hours in CS7Hrs last 2 wks
CSDB Rating5.2 DevelopingPositional Player
CSDB Leaderboard#50905 of 258689 tracked
FaceitLevel 10 · 1,993 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 22,413 +3,378 4 Feb – 3 Jul · 27 days played
18,33022,727peak 22,7274 Feb3 Jul
22,838Peak Premier in tracked matches
1,993Highest Faceit ELO seen on CSDB
46Days played since 2026-02-04

Faceit ELO

  • At peak — 1,993
  • Next: Level 10 at 2,001 — 8 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

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

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate47.7%50.9%
Shot accuracy16.0%13.7%
Kill/death ratio0.961.09
Match win rate47.1%48.4%

Share this profile

CSDB.GGSwim KiksFACEITLevel 10 · 1,993 ELOSTANDINGTop 12.4% of rankedPEAK ELO1,993csdb.gg/stats

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Performance scores

Aim62
Positioning51
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY62–34–4Last 10062%Win rateLLWLWTWWWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −4.1pp headshot accuracy · −84ms reaction

Win rate −10pp 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 19%
  • Avg reaction 617ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 605ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 647ms

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 (+1.4 against its own average).

Aim6.2
Utility4.3
Positioning5.1
Opening Duels1.8
Clutch3.4

Limited utility dependence

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 89% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

Reaction time. 646ms 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

Aim6.2
Positioning5.1
Utility4.3
Mechanics6.1
Opening Duels3.0
Win Impact7.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time652ms+2ms
first ⅓ avg 649ms → last ⅓ avg 652ms
Headshot accuracy18.9%−4.6%
first ⅓ avg 23.5% → last ⅓ avg 18.9%

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

0.16Best match rating · 13–2 · inferno, 15 Feb →
39%Best headshot accuracy · 13–11 · anubis, 12 Feb →
445msFastest reaction time · 13–10 · ancient, 8 Feb →
13–0Biggest win · inferno, 10 Feb →

Across the last 100 tracked matches.

Highlights

11Longest win streak
L2Current streak
15–7In matches decided by ≤2 rounds
16Overtime games

Map breakdown

dust2Best map · 75% over 8anubisWeakest map · 55% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA3320–1361%0.01
infernoA2314–961%0.00
anubisA116–555%-0.02
ancientA117–464%-0.01
dust2S86–275%-0.02
nukeS75–271%0.06
overpassA53–260%0.01
cache—21–150%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (55% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

109,631Lifetime kills
0.96K/D
5,797Matches
47.1%Match win rate
47.7%Headshot %
16.0%Shot accuracy · Top 50% of Level 10 players
15,150MVPs
2,511Hours (in match)
9,222Bombs planted
1,845Bombs defused

Most-used weapons

AK-4738,112
AWP6,070
FAMAS2,998
MP92,853
P902,609

Lifetime map wins

9,431inferno
8,806dust2
2,637vertigo
1,619nuke
1,399train
816cbble
487lake
227safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,201Matches
52%Win rate
0.96Avg K/D
70.3ADR
56%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage23654%0.9814.5
Inferno14156%1.0014.5
Ancient10951%0.8814.0
Anubis7949%0.8814.5
Dust26639%0.9113.9
Vertigo4556%1.0316.6
Nuke3653%0.8214.4
Overpass3165%1.2016.9

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.

18.0%Headshot accuracy
36.2%Accuracy (enemy spotted)
42.2%Spray accuracy
77.4%Counter-strafing
12.0°Preaim
646msReaction time
43.8%T opening success
40.4%CT opening success
0.50Enemies flashed / flash
7.9%Flash assists
9.34HE damage / grenade
4.17Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0296° — above the 12° mark we flag

    Aim Training →

Recent matches

MapScoreRatingHS%Date
inferno9–13-0.0932%27 Oct →
inferno7–13-0.0412%27 Oct →
anubis13–9-0.0220%23 Oct →
inferno11–13-0.0515%23 Oct →
cache13–11-0.0216%23 Oct →
ancient15–15-0.0613%16 Oct →
inferno13–90.0113%16 Oct →
anubis13–110.0115%16 Oct →
ancient13–40.0317%16 Oct →
mirage3–13-0.0819%16 Oct →
cache3–13-0.0614%15 Oct →
anubis13–9-0.0420%15 Oct →
inferno13–50.0715%15 Oct →
mirage9–13-0.0121%28 Sept →
mirage3–13-0.0125%18 Sept →
inferno13–11-0.0418%15 Sept →
inferno11–13-0.0116%3 Jul →
nuke13–30.0327%3 Jul →
nuke13–110.0727%30 Jun →
nuke13–100.0529%29 Jun →
inferno15–15-0.0511%29 Jun →
anubis13–5-0.0415%26 Jun →
mirage7–20.0418%26 Jun →
ancient13–8-0.0113%26 Jun →
mirage7–13-0.0229%15 Jun →
mirage13–10-0.0214%15 Jun →
nuke13–110.0818%7 Jun →
mirage5–13-0.0310%3 Jun →
ancient3–130.0318%3 Jun →
anubis5–13-0.0716%21 May →
anubis4–13-0.0225%19 May →
inferno4–13-0.0835%18 May →
dust212–16-0.0419%3 May →
overpass4–13-0.0419%30 Apr →
mirage13–20.0920%30 Apr →
mirage13–11-0.0514%30 Apr →
overpass13–90.0521%25 Apr →
mirage13–50.0713%25 Apr →
nuke9–130.0615%24 Apr →
dust216–14-0.0122%29 Mar →
mirage7–13-0.0318%29 Mar →
ancient13–110.0416%29 Mar →
mirage13–30.0520%21 Mar →
inferno13–11-0.0622%9 Mar →
mirage13–10-0.0019%9 Mar →
mirage13–6-0.0226%9 Mar →
inferno13–50.0427%9 Mar →
mirage16–12-0.0230%8 Mar →
inferno13–20.1221%7 Mar →
overpass13–110.0229%6 Mar →
mirage13–80.0131%6 Mar →
inferno16–130.0316%4 Mar →
ancient7–13-0.0313%3 Mar →
mirage5–13-0.0322%3 Mar →
inferno13–40.0017%3 Mar →
inferno13–7-0.0331%3 Mar →
anubis5–13-0.0521%1 Mar →
ancient25–23-0.0317%1 Mar →
dust216–130.0326%28 Feb →
overpass11–13-0.0118%28 Feb →
mirage13–11-0.0137%26 Feb →
dust215–19-0.0915%25 Feb →
mirage13–80.0317%25 Feb →
mirage11–13-0.0438%25 Feb →
ancient15–15-0.0316%25 Feb →
mirage6–130.0022%24 Feb →
mirage13–60.0424%21 Feb →
anubis13–10-0.0122%21 Feb →
mirage13–90.0325%21 Feb →
mirage13–50.0010%21 Feb →
mirage13–50.0125%20 Feb →
inferno13–7-0.0414%20 Feb →
mirage13–30.0536%20 Feb →
inferno15–15-0.0019%20 Feb →
overpass16–140.0421%20 Feb →
ancient16–13-0.0314%19 Feb →
dust213–60.0032%18 Feb →
dust213–10-0.0327%18 Feb →
mirage13–90.0722%15 Feb →
inferno13–5-0.0016%15 Feb →
nuke13–70.1432%15 Feb →
inferno13–20.1638%15 Feb →
mirage13–40.0630%15 Feb →
anubis11–130.0325%15 Feb →
dust213–11-0.0113%15 Feb →
mirage11–130.0324%15 Feb →
ancient13–60.0225%15 Feb →
mirage13–60.0221%14 Feb →
anubis13–11-0.0139%12 Feb →
mirage8–13-0.0430%12 Feb →
inferno13–00.0534%10 Feb →
dust219–160.0223%8 Feb →
ancient13–10-0.0015%8 Feb →
mirage9–130.0113%7 Feb →
nuke10–13-0.0535%7 Feb →
inferno13–16-0.0421%6 Feb →
mirage8–130.0025%6 Feb →
inferno14–160.0619%4 Feb →
inferno13–60.0621%4 Feb →
anubis6–13-0.0212%4 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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