Salem

Salem — CS2 Stats

76561199507781951[U:1:1547516223]Steam profile ↗✓ No bans

1,284Tracked matches30%Win rate2024Tracked since
CSDB Rating3.0 LearningPositional Player
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

+16Tracked matches · now 1,284
−11.4ppWin rate · 41.4% → 30.0%

Rating over time

4,335Peak Premier in tracked matches
39Days played since 2026-06-14

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

Performance scores

Aim33
Positioning40
Utility20

0–100 skill scores via Leetify.

Recent form

STEADY35–60–5Last 10035%Win rateWLWWLLWWLL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · −1.5pp headshot accuracy · −76ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 567ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 592ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 630ms

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 (+1.9 against its own average).

Aim3.3
Utility2.0
Positioning4.0
Opening Duels0.4

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

NiKo

Plays most like NiKo 79% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 670ms 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

Aim3.3
Positioning4.0
Utility2.0
Mechanics5.5
Opening Duels1.3
Win Impact0.0

Composite 3.0/10 (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-0.06−0.01
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time676ms−38ms
first ⅓ avg 714ms → last ⅓ avg 676ms
Headshot accuracy12.6%+0.2%
first ⅓ avg 12.4% → 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.

Personal bests

0.24Best match rating · 9–0 · inferno, 9 Jul →
32%Best headshot accuracy · 4–13 · dust2, 9 Jul →
352msFastest reaction time · 1–9 · inferno, 31 Jul →
13–1Biggest win · train, 10 Oct →

Across the last 100 tracked matches.

Highlights

3Longest win streak
5–6In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 53% over 19anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C269–1735%-0.06
infernoB1910–953%-0.05
nukeD155–1033%-0.08
cacheD123–925%-0.03
trainD72–529%-0.07
anubisD71–614%-0.06
vertigoC52–340%-0.09
mirage—30–30%-0.06
office—22–0100%-0.03
warden—20–20%-0.05
ancient—10–10%-0.06
overpass—11–0100%-0.01

Across the last 100 tracked matches.

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

Skill profile

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

12.0%Headshot accuracy
27.2%Accuracy (enemy spotted)
32.0%Spray accuracy
74.7%Counter-strafing
10.3°Preaim
670msReaction time
32.0%T opening success
38.3%CT opening success
0.33Enemies flashed / flash
0.0%Flash assists
10.35HE damage / grenade
1.50Flashes / 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 11.9689% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3325 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.0408% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.0612%12 Oct →
ancient11–13-0.062%10 Oct →
train13–1-0.020%10 Oct →
dust28–8-0.1421%10 Oct →
nuke3–90.0511%9 Oct →
inferno8–13-0.0812%6 Oct →
dust213–11-0.115%6 Oct →
cache13–7-0.0712%2 Oct →
dust24–13-0.0818%2 Oct →
cache4–13-0.0211%1 Oct →
cache9–13-0.0416%29 Sept →
anubis10–13-0.1019%24 Sept →
cache3–13-0.0120%24 Sept →
anubis8–13-0.026%23 Sept →
anubis6–13-0.080%17 Sept →
dust29–13-0.1314%17 Sept →
dust21–11-0.0418%8 Sept →
cache13–6-0.0812%8 Sept →
overpass9–3-0.016%3 Sept →
dust28–13-0.0710%31 Aug →
inferno9–6-0.160%31 Aug →
nuke9–6-0.1618%31 Aug →
nuke9–13-0.1112%19 Aug →
anubis9–13-0.0816%19 Aug →
dust27–13-0.068%19 Aug →
nuke11–13-0.0513%16 Aug →
dust213–9-0.0320%16 Aug →
nuke4–9-0.0831%13 Aug →
train1–13-0.086%13 Aug →
train3–13-0.0617%13 Aug →
inferno9–5-0.0310%11 Aug →
nuke4–9-0.1819%11 Aug →
vertigo9–60.0422%10 Aug →
nuke8–8-0.067%10 Aug →
inferno4–9-0.0917%7 Aug →
inferno13–10-0.0518%5 Aug →
cache10–13-0.0116%5 Aug →
dust213–9-0.050%5 Aug →
nuke7–9-0.1013%31 Jul →
nuke9–7-0.0224%31 Jul →
vertigo6–9-0.0826%31 Jul →
inferno1–9-0.300%31 Jul →
inferno3–9-0.156%31 Jul →
inferno9–13-0.0915%27 Jul →
dust213–70.0313%27 Jul →
mirage5–13-0.0711%27 Jul →
inferno9–60.0213%22 Jul →
inferno8–8-0.1517%22 Jul →
dust215–15-0.0515%18 Jul →
nuke6–9-0.183%18 Jul →
anubis7–13-0.0919%18 Jul →
train13–7-0.0610%15 Jul →
inferno5–90.0921%15 Jul →
inferno9–00.226%15 Jul →
dust213–5-0.099%12 Jul →
nuke13–2-0.0623%12 Jul →
dust23–130.0314%12 Jul →
cache16–120.0314%11 Jul →
inferno13–8-0.0316%11 Jul →
dust24–13-0.0932%9 Jul →
inferno9–00.2420%9 Jul →
dust26–13-0.0912%8 Jul →
mirage1–13-0.033%8 Jul →
train3–7-0.1120%8 Jul →
office13–11-0.056%8 Jul →
office13–10-0.007%8 Jul →
vertigo3–9-0.188%8 Jul →
dust26–13-0.0411%7 Jul →
cache6–13-0.0220%7 Jul →
vertigo13–10-0.0612%7 Jul →
dust26–13-0.0816%7 Jul →
cache7–13-0.054%6 Jul →
dust211–13-0.0325%6 Jul →
dust28–13-0.118%3 Jul →
nuke12–12-0.107%3 Jul →
inferno13–6-0.0717%3 Jul →
inferno9–30.1514%2 Jul →
warden2–7-0.070%2 Jul →
dust213–9-0.0910%2 Jul →
cache2–13-0.0315%2 Jul →
nuke13–3-0.0518%2 Jul →
dust29–130.0020%30 Jun →
anubis11–13-0.0411%30 Jun →
dust24–13-0.0318%30 Jun →
nuke1–13-0.060%30 Jun →
anubis13–80.0314%30 Jun →
cache5–13-0.0714%30 Jun →
dust24–13-0.0910%30 Jun →
inferno8–13-0.0614%30 Jun →
inferno0–9-0.2913%25 Jun →
dust213–11-0.0319%20 Jun →
inferno9–3-0.087%20 Jun →
vertigo6–9-0.1812%20 Jun →
warden11–13-0.0415%20 Jun →
train8–13-0.0614%20 Jun →
mirage5–13-0.0912%16 Jun →
cache12–120.0213%16 Jun →
dust210–13-0.0813%15 Jun →
nuke13–4-0.044%15 Jun →
train7–13-0.079%14 Jun →

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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