salik12

salik12 — CS2 Stats

GB76561198120911380[U:1:160645652]Steam profile ↗✓ No bans

262Tracked matches50%Win rate2020Tracked since
842Hours in CS
CSDB Rating2.5 LearningSupport
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 262
+3.6ppWin rate · 46.4% → 50.0%

Rating over time

53Days played since 2026-01-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim14
Positioning29
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateLWWLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · −2ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 588ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 572ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 573ms

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: Support — Utility contribution stands above the rest of this profile (+1.7 against its own average).

Aim1.4
Utility4.1
Positioning2.9
Opening Duels0.1

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

Twistzz

Plays most like Twistzz 60% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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. 613ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim1.4
Positioning2.9
Utility4.1
Mechanics2.2
Opening Duels0.2
Win Impact5.0

Composite 2.5/10 (Learning), 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 rating-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time607ms−43ms
first ⅓ avg 651ms → last ⅓ avg 607ms
Headshot accuracy10.6%−4.8%
first ⅓ avg 15.4% → last ⅓ avg 10.6%

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.

Personal bests

0.13Best match rating · 2–6 · mirage, 21 Jan →
30%Best headshot accuracy · 13–7 · ancient, 13 Jan →
359msFastest reaction time · 0–2 · train, 30 Apr →
13–3Biggest win · nuke, 16 Jun →

Across the last 100 tracked matches.

Highlights

3Longest win streak
9–11In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 71% over 7officeWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC197–1237%-0.06
overpassB136–746%-0.06
dust2B115–645%-0.03
anubisC114–736%-0.05
ancientC94–544%-0.03
nukeD82–625%-0.06
trainB84–450%-0.04
infernoS75–271%-0.05
cacheB63–350%-0.05
officeD50–50%-0.07
italy—11–0100%-0.03
golden—10–10%-0.03
vertigo—11–0100%-0.06

Across the last 100 tracked matches.

Lifetime stats

22,375Lifetime kills
0.49K/D
2,336Matches
33.9%Match win rate
38.3%Headshot %
11.7%Shot accuracy · Top 50% of tracked players
2,224MVPs
842Hours (in match)
1,949Bombs planted
215Bombs defused

Most-used weapons

Lifetime map wins

3,515dust2
1,751inferno
1,050train
802nuke
463cbble
294vertigo
157office
74lake

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

11.4%Headshot accuracy
25.8%Accuracy (enemy spotted)
27.1%Spray accuracy
60.0%Counter-strafing
14.0°Preaim
613msReaction time
24.7%T opening success
31.8%CT opening success
0.51Enemies flashed / flash
2.9%Flash assists
8.52HE damage / grenade
4.75Flashes / 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 14.042° — above the 12° mark we flag

    Aim Training →
  2. 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 11.377% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass11–13-0.0414%26 Sept →
inferno13–6-0.067%26 Sept →
mirage13–9-0.0425%8 Aug →
overpass11–13-0.079%1 Jul →
mirage2–13-0.0610%1 Jul →
inferno13–8-0.0314%25 Jun →
dust213–7-0.0810%23 Jun →
mirage13–5-0.0714%23 Jun →
anubis5–13-0.0713%23 Jun →
cache13–10-0.014%23 Jun →
ancient12–12-0.0610%16 Jun →
anubis5–13-0.117%16 Jun →
nuke13–3-0.0327%16 Jun →
train13–9-0.0117%16 Jun →
inferno11–13-0.1013%15 Jun →
mirage10–13-0.134%10 Jun →
italy13–5-0.038%9 Jun →
office9–13-0.0820%9 Jun →
anubis13–9-0.069%9 Jun →
cache4–13-0.099%5 Jun →
office12–12-0.067%3 Jun →
office0–7-0.050%30 May →
cache13–40.0112%30 May →
nuke4–9-0.027%17 May →
dust213–11-0.0913%14 May →
overpass3–13-0.086%11 May →
cache13–11-0.0712%9 May →
dust213–11-0.0112%9 May →
mirage3–13-0.0716%1 May →
mirage10–13-0.087%30 Apr →
train0–2-0.060%30 Apr →
cache2–13-0.052%30 Apr →
cache11–13-0.0513%29 Apr →
overpass6–13-0.0820%24 Apr →
dust29–13-0.046%24 Apr →
nuke4–13-0.0610%24 Apr →
nuke10–13-0.0810%19 Apr →
train13–10-0.048%19 Apr →
overpass13–11-0.057%18 Apr →
ancient11–13-0.057%18 Apr →
anubis5–13-0.0713%18 Apr →
overpass6–13-0.087%17 Apr →
office6–13-0.070%17 Apr →
train3–13-0.0918%17 Apr →
train13–4-0.0219%14 Apr →
nuke3–13-0.1112%8 Apr →
train12–12-0.1015%8 Apr →
overpass6–13-0.0725%4 Apr →
inferno13–10-0.0410%4 Apr →
nuke12–12-0.0613%3 Apr →
dust212–120.0321%3 Apr →
mirage7–13-0.0420%2 Apr →
ancient11–13-0.0420%29 Mar →
anubis13–8-0.0213%29 Mar →
mirage7–13-0.0514%29 Mar →
overpass13–6-0.0112%28 Mar →
train13–90.0419%28 Mar →
mirage13–11-0.0322%27 Mar →
anubis7–13-0.1119%27 Mar →
mirage11–13-0.083%25 Mar →
ancient13–80.0317%25 Mar →
anubis5–13-0.074%22 Mar →
ancient9–130.0216%22 Mar →
inferno13–8-0.038%21 Mar →
mirage13–11-0.0912%14 Mar →
dust213–9-0.0613%14 Mar →
mirage7–13-0.0613%28 Feb →
dust213–80.0023%28 Feb →
mirage13–11-0.0712%27 Feb →
overpass13–7-0.0516%10 Feb →
anubis12–12-0.0223%10 Feb →
overpass13–7-0.0919%9 Feb →
mirage4–13-0.0912%9 Feb →
nuke13–9-0.0712%5 Feb →
dust26–8-0.0313%5 Feb →
anubis13–60.0215%5 Feb →
overpass13–5-0.0112%4 Feb →
ancient7–13-0.047%4 Feb →
mirage13–10-0.0812%3 Feb →
anubis13–10-0.047%2 Feb →
ancient13–6-0.0316%2 Feb →
dust212–12-0.0214%26 Jan →
mirage13–11-0.0513%26 Jan →
mirage2–60.1322%21 Jan →
train12–12-0.0514%21 Jan →
ancient13–9-0.0115%19 Jan →
overpass13–8-0.0622%18 Jan →
office9–13-0.0712%18 Jan →
mirage11–13-0.0416%17 Jan →
golden1–7-0.0325%15 Jan →
vertigo11–4-0.0615%15 Jan →
dust24–13-0.0024%15 Jan →
mirage4–13-0.0710%14 Jan →
anubis4–13-0.049%14 Jan →
inferno13–11-0.0516%14 Jan →
ancient13–7-0.0430%13 Jan →
nuke7–13-0.0616%13 Jan →
inferno5–13-0.0417%11 Jan →
dust25–13-0.0718%11 Jan →
overpass4–5-0.065%9 Jan →

Match data via Leetify.

Recent teammates

Milestones

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

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