Anders

Anders — CS2 Stats

76561198065241599[U:1:104975871]Steam profile ↗✓ No bans

1,445Tracked matches47%Win rate2021Tracked since
CSDB Rating3.8 LearningClutch Specialist
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Aug 2026 (30 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 1,445
+3.3ppWin rate · 43.3% → 46.7%

Rating over time

Premier CS Rating: 8,697 -1,894 14 Sept – 5 Dec · 6 days played
8,69710,591peak 10,59114 Sept5 Dec
10,591Peak Premier in tracked matches
788Highest Faceit ELO seen on CSDB
43Days played since 2025-07-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGAndersFACEITLevel 3STANDINGTop 90.6% of rankedPEAK ELO788csdb.gg/stats

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Performance scores

Aim33
Positioning44
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateWLLWLWLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.0pp headshot accuracy · −17ms 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 -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 627ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 663ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 671ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.4 against its own average).

Aim3.3
Utility5.5
Positioning4.4
Opening Duels2.1
Clutch7.2

Reliable in 1v1s

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

jL

Plays most like jL 66% 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. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.3
Positioning4.4
Utility5.5
Mechanics3.7
Opening Duels1.2
Win Impact3.9

Composite 3.8/10 (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-0.03−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time667ms−13ms
first ⅓ avg 680ms → last ⅓ avg 667ms
Headshot accuracy18.4%+0.1%
first ⅓ avg 18.3% → last ⅓ avg 18.4%

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

0.07Best match rating · 10–0 · nuke, 12 Dec →
39%Best headshot accuracy · 7–13 · overpass, 29 Dec →
445msFastest reaction time · 4–13 · ancient, 5 Dec →
13–2Biggest win · dust2, 14 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
14–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 75% over 16ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB2210–1245%-0.04
dust2B2110–1148%-0.02
infernoS1612–475%-0.03
ancientC145–936%-0.03
mirageC94–544%0.00
overpassC73–443%-0.04
cache_bS64–267%-0.04
anubis—32–167%-0.01
cache—11–0100%-0.05
train—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

22Matches
41%Win rate
0.76Avg K/D
67.4ADR
52%Headshot %

Clutches & streaks

56%1v1 clutch win
8%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke450%0.7110.0
Inferno450%0.8013.0
Dust2425%0.6111.8
Mirage250%1.1917.5
Ancient2100%0.9614.0
Train1100%1.3811.0

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.

17.9%Headshot accuracy
28.6%Accuracy (enemy spotted)
28.5%Spray accuracy
66.9%Counter-strafing
10.7°Preaim
669msReaction time
31.5%T opening success
38.2%CT opening success
0.58Enemies flashed / flash
6.9%Flash assists
7.08HE damage / grenade
8.78Flashes / 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

    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 31.4551% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0225%12 Sept →
nuke10–130.0215%11 Sept →
dust27–13-0.0221%21 Aug →
inferno13–11-0.0517%21 Aug →
nuke11–13-0.0429%14 Aug →
ancient13–7-0.049%14 Aug →
ancient8–13-0.0817%7 Aug →
cache13–6-0.058%6 Aug →
mirage2–130.0515%6 Aug →
ancient4–13-0.0720%5 Aug →
nuke9–13-0.0520%3 Jul →
nuke13–10-0.0610%19 Jun →
dust213–6-0.0116%19 Jun →
nuke6–13-0.069%12 Jun →
mirage19–15-0.0413%29 May →
dust213–90.0321%29 May →
dust211–13-0.0425%22 May →
inferno12–16-0.0920%22 May →
nuke11–13-0.0218%22 May →
nuke13–6-0.0614%24 Apr →
anubis10–13-0.0116%24 Apr →
inferno13–4-0.0333%24 Apr →
nuke9–13-0.0512%18 Apr →
ancient13–11-0.0318%17 Apr →
dust23–13-0.0227%17 Apr →
nuke10–13-0.0812%17 Apr →
dust21–13-0.0427%10 Apr →
inferno13–10-0.0326%10 Apr →
cache_b13–7-0.0812%10 Apr →
ancient13–110.0120%10 Apr →
ancient8–130.0228%5 Apr →
mirage8–130.0117%28 Mar →
dust210–13-0.0718%28 Mar →
overpass9–13-0.0421%6 Mar →
dust216–140.0120%6 Mar →
anubis13–80.0420%1 Mar →
dust213–30.0224%1 Mar →
nuke16–130.0111%27 Feb →
dust213–80.0223%27 Feb →
overpass13–10-0.0110%27 Feb →
nuke4–13-0.0722%27 Feb →
dust26–13-0.0615%27 Feb →
dust27–13-0.0228%17 Feb →
nuke7–13-0.0823%17 Feb →
inferno13–100.0223%13 Feb →
cache_b22–20-0.0420%6 Feb →
anubis13–11-0.0613%6 Feb →
nuke13–8-0.098%30 Jan →
dust213–9-0.037%30 Jan →
inferno13–9-0.0119%30 Jan →
nuke13–8-0.0517%29 Jan →
ancient4–13-0.0625%28 Jan →
ancient9–13-0.0420%9 Jan →
inferno13–6-0.0210%9 Jan →
nuke13–6-0.0432%9 Jan →
cache_b11–13-0.0226%9 Jan →
inferno6–4-0.0614%2 Jan →
nuke13–90.0014%2 Jan →
dust213–100.0013%2 Jan →
mirage13–80.039%29 Dec →
nuke7–13-0.0920%29 Dec →
overpass7–13-0.0539%29 Dec →
dust29–130.0127%29 Dec →
cache_b13–16-0.0915%29 Dec →
cache_b13–110.0024%19 Dec →
inferno13–9-0.0310%19 Dec →
overpass4–13-0.0227%19 Dec →
mirage11–13-0.0225%13 Dec →
mirage13–60.0315%13 Dec →
overpass13–6-0.0620%13 Dec →
cache_b13–10-0.0320%12 Dec →
nuke10–00.0728%12 Dec →
ancient13–11-0.0218%12 Dec →
inferno13–11-0.0433%5 Dec →
train6–13-0.0327%5 Dec →
dust213–10-0.0127%5 Dec →
ancient4–13-0.0216%5 Dec →
inferno7–13-0.0239%3 Oct →
overpass14–16-0.038%1 Oct →
inferno13–110.0110%1 Oct →
dust27–13-0.0411%27 Sept →
dust214–16-0.0318%17 Sept →
ancient6–13-0.0613%17 Sept →
inferno9–13-0.0116%17 Sept →
dust213–20.0022%14 Sept →
nuke13–9-0.059%14 Sept →
inferno6–13-0.0829%12 Sept →
overpass13–11-0.0314%12 Sept →
nuke2–13-0.0218%12 Sept →
mirage7–10.0216%12 Sept →
nuke7–13-0.0413%12 Sept →
dust20–13-0.0710%12 Sept →
mirage9–13-0.0315%3 Sept →
ancient11–130.0013%3 Sept →
ancient9–13-0.039%31 Jul →
inferno16–120.0419%31 Jul →
nuke13–110.0313%31 Jul →
mirage10–13-0.0313%29 Jul →
inferno13–6-0.0024%29 Jul →
ancient13–60.0426%29 Jul →

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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