Alf

Alf — CS2 Stats

76561198341020568[U:1:380754840]Steam profile ↗✓ No bans

214Tracked matches41%Win rate2026Tracked since
312Hours in CS8Hrs last 2 wks
CSDB Rating2.7 LearningPositional Player
Premier CS Rating9,050Light Blue band · top ~59.4% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 9,050 +43 27 Jul – 3 Nov · 29 days played
7,49510,107peak 10,10727 Jul3 Nov
10,107Peak Premier in tracked matches
29Days played since 2026-07-27

Premier CS Rating

  • 1,057 below peak (10,107)
  • +363 over 30 days · steady
  • +780 over 90 days
  • Next: Blue band at 10,000 — 950 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-18

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate36.2%39.9%42.0%5.8% short
Shot accuracy9.7%7.0%9.6%meets
Kill/death ratio0.880.920.980.10 short
Match win rate29.7%42.3%43.8%14.1% short

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAlfPREMIER9,050 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim19
Positioning51
Utility39

0–100 skill scores via Leetify.

Recent form

HOT42–53–5Last 10042%Win rateWWLWLLWWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +7.6pp headshot accuracy · +41ms 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 680ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 654ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 633ms

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 (+2.6 against its own average).

Aim1.9
Utility3.9
Positioning5.1
Opening Duels1.0
Clutch0.0

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 56% 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

CT openings. Opening success drops from 49% on T to 33% on CT — first contacts on the defending side are being lost.

Reaction time. 640ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% 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

Aim1.9
Positioning5.1
Utility3.9
Mechanics2.8
Opening Duels2.7
Win Impact1.9

Composite 2.7/10 (Learning), 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+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time632ms−2ms
first ⅓ avg 634ms → last ⅓ avg 632ms
Headshot accuracy11.6%+1.4%
first ⅓ avg 10.2% → last ⅓ avg 11.6%

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

0.08Best match rating · 9–3 · inferno, 9 Oct →
29%Best headshot accuracy · 13–9 · dust2, 3 Nov →
375msFastest reaction time · 6–13 · ancient, 25 Aug →
13–1Biggest win · anubis, 23 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
5–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 75% over 16infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC198–1142%-0.03
ancientC188–1044%-0.04
cacheD186–1233%-0.04
anubisS1612–475%-0.02
dust2D93–633%-0.03
mirageC83–538%-0.01
infernoD81–713%-0.03
vertigo—20–20%-0.02
train—11–0100%-0.06
overpass—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,192Lifetime kills
0.88K/D
546Matches
29.7%Match win rate
36.2%Headshot %
9.7%Shot accuracy · Top 50% of Light Blue band
680MVPs
215Hours (in match)
421Bombs planted
102Bombs defused

Most-used weapons

Lifetime map wins

498nuke
422inferno
285dust2
139vertigo
44train
23lake
22office
15italy

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

Faceit stats

Combat

4Matches
25%Win rate
0.49Avg K/D
47.1ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis250%0.518.5
Mirage10%0.509.0
Cache10%0.436.0

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.

11.9%Headshot accuracy
28.9%Accuracy (enemy spotted)
31.9%Spray accuracy
62.8%Counter-strafing
14.3°Preaim
640msReaction time
48.7%T opening success
32.6%CT opening success
0.35Enemies flashed / flash
2.9%Flash assists
9.48HE damage / grenade
7.18Flashes / 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 14.2607° — 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 11.8519% — below the 15% mark we flag

    Aim Training →
  3. 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 0.3495 — below the 0.5 mark we flag

    Grenade Lineups →
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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–9-0.0229%3 Nov →
mirage13–50.0226%3 Nov →
ancient10–13-0.0511%3 Nov →
nuke13–110.019%27 Oct →
inferno6–13-0.0117%27 Oct →
ancient9–13-0.0412%27 Oct →
nuke13–90.039%24 Oct →
mirage13–40.039%24 Oct →
dust210–6-0.0028%24 Oct →
anubis13–50.0312%24 Oct →
mirage15–15-0.067%21 Oct →
cache13–8-0.065%21 Oct →
ancient11–13-0.0411%19 Oct →
mirage10–130.0417%19 Oct →
anubis5–13-0.0913%19 Oct →
ancient7–13-0.079%9 Oct →
inferno9–30.082%9 Oct →
anubis13–40.065%9 Oct →
mirage10–13-0.027%9 Oct →
mirage13–90.026%9 Oct →
dust24–13-0.0318%9 Oct →
dust213–10-0.0512%5 Oct →
dust28–13-0.0124%5 Oct →
inferno12–12-0.063%5 Oct →
dust24–13-0.062%29 Sept →
mirage7–13-0.096%29 Sept →
mirage7–13-0.050%29 Sept →
nuke2–13-0.0718%28 Sept →
ancient9–13-0.0117%28 Sept →
dust212–160.0214%28 Sept →
vertigo12–120.0310%23 Sept →
nuke13–8-0.079%22 Sept →
anubis16–13-0.028%22 Sept →
ancient13–9-0.038%22 Sept →
ancient13–4-0.0411%20 Sept →
cache10–13-0.056%20 Sept →
anubis13–9-0.0711%20 Sept →
cache10–13-0.066%20 Sept →
ancient13–8-0.0410%17 Sept →
nuke13–10-0.069%17 Sept →
inferno7–90.029%17 Sept →
cache5–13-0.0418%17 Sept →
anubis5–13-0.0510%17 Sept →
anubis10–13-0.079%17 Sept →
nuke6–13-0.056%17 Sept →
dust210–13-0.0711%13 Sept →
nuke12–16-0.0711%13 Sept →
anubis13–10-0.0313%13 Sept →
ancient13–40.0210%13 Sept →
dust26–13-0.0421%9 Sept →
nuke5–13-0.0814%9 Sept →
cache13–10-0.0220%9 Sept →
ancient13–90.047%7 Sept →
nuke5–13-0.0410%7 Sept →
ancient4–2-0.1013%7 Sept →
anubis13–7-0.036%7 Sept →
cache13–90.0319%7 Sept →
nuke11–130.0610%7 Sept →
nuke8–13-0.0512%6 Sept →
cache9–13-0.0614%6 Sept →
nuke13–70.0118%6 Sept →
inferno2–13-0.0529%6 Sept →
ancient6–13-0.0110%6 Sept →
ancient13–9-0.0810%3 Sept →
ancient4–13-0.0920%3 Sept →
cache7–00.019%3 Sept →
ancient10–13-0.0511%3 Sept →
inferno9–130.009%3 Sept →
cache6–13-0.0514%31 Aug →
nuke15–15-0.074%31 Aug →
anubis13–9-0.054%31 Aug →
anubis13–11-0.0415%26 Aug →
ancient13–5-0.0210%26 Aug →
nuke2–13-0.034%25 Aug →
ancient6–13-0.078%25 Aug →
ancient7–13-0.0510%25 Aug →
anubis13–5-0.046%24 Aug →
anubis8–13-0.0017%24 Aug →
cache5–13-0.0411%23 Aug →
anubis13–10.068%23 Aug →
nuke11–13-0.058%18 Aug →
cache9–13-0.0414%18 Aug →
cache13–50.026%16 Aug →
cache7–13-0.105%16 Aug →
nuke13–1-0.009%16 Aug →
inferno3–13-0.1012%16 Aug →
anubis13–6-0.0010%16 Aug →
cache11–13-0.0517%5 Aug →
anubis13–9-0.044%1 Aug →
cache6–13-0.0811%1 Aug →
nuke8–13-0.0314%1 Aug →
nuke13–7-0.015%1 Aug →
nuke13–8-0.0419%31 Jul →
train13–11-0.0617%31 Jul →
cache5–13-0.1112%31 Jul →
inferno7–13-0.104%31 Jul →
overpass12–12-0.0418%31 Jul →
cache10–9-0.069%31 Jul →
vertigo8–13-0.0610%31 Jul →
cache11–13-0.0413%27 Jul →

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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