Mr.Anderson

Mr.Anderson — CS2 Stats

76561198032035424[U:1:71769696]Steam profile ↗✓ No bans

384Tracked matches57%Win rate2026Tracked since
CSDB Rating6.0 SolidAggressive Rifler
Premier CS Rating15,658Purple band · top ~25.8% of ranked players (population est.)
CSDB Leaderboard#26165 of 44791 tracked
FaceitLevel 5 · 1,065 ELOTop 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGMr.AndersonFACEITLevel 5 · 1,065 ELOSTANDINGTop 67.6% of rankedPREMIER15,658 · Purple bandcsdb.gg/stats

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Performance scores

Aim75
Positioning48
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY56413Last 10056%Win rateWLLLWWWLLW

Last 10 vs previous 10: -10pp win rate · -0.03 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression8.4
Utility5.3
Positioning4.8
Opening Duels2.8
Clutch8.4

Strong T-side openerReliable 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.

Your pro match

b1t

Plays most like b1t 89% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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. 571ms 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

Aim7.5
Positioning4.8
Utility5.3
Mechanics6.6
Opening Duels2.8
Win Impact7.2

Composite 6.0/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time581ms−53ms
first ⅓ avg 634ms → last ⅓ avg 581ms
Headshot accuracy21.1%+1.0%
first ⅓ avg 20.1% → last ⅓ avg 21.1%

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.

Highlights

0.18Best rating — dust2 9–1
130Biggest win — dust2
5Longest win streak
54In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 69% over 16anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A32181456%0.02
mirageS1611569%-0.01
ancientA148657%-0.01
infernoB115645%0.01
nukeA95456%0.01
anubisC83538%0.00
cacheA85363%0.01
poseidon1010%0.06
overpass110100%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
52%Win rate
1.49Avg K/D
95.6ADR
55%Headshot %

Clutches & streaks

62%1v1 clutch win
37%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2743%1.6218.3
Mirage475%1.0114.0
Anubis333%1.3321.3
Ancient333%1.2517.7
Nuke250%1.8917.5
Cache1100%1.7925.0
Inferno1100%2.5718.0

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.

21.2%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.0%Spray accuracy
79.9%Counter-strafing
9.0°Preaim
571msReaction time
49.3%T opening success
33.2%CT opening success
0.58Enemies flashed / flash
4.4%Flash assists
8.83HE damage / grenade
8.50Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.1534% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0227%29 Aug
anubis13–160.0513%26 Aug
anubis9–13-0.1013%26 Aug
dust29–130.0321%26 Aug
dust213–70.0818%25 Aug
ancient13–5-0.0718%25 Aug
dust213–00.0923%25 Aug
dust211–130.0420%22 Aug
anubis7–130.0623%22 Aug
dust213–100.0527%22 Aug
ancient6–130.0726%20 Aug
dust213–60.0826%20 Aug
ancient8–13-0.0413%20 Aug
inferno13–60.0814%20 Aug
dust213–40.1040%20 Aug
nuke8–13-0.0223%19 Aug
cache13–100.1120%19 Aug
anubis13–70.0812%17 Aug
nuke13–40.1418%17 Aug
mirage12–16-0.0623%17 Aug
dust28–130.0120%17 Aug
dust213–40.0523%16 Aug
nuke6–13-0.0721%15 Aug
nuke13–10.0559%15 Aug
inferno13–40.1218%15 Aug
mirage13–8-0.0024%7 Aug
dust213–9-0.0021%3 Aug
cache5–13-0.107%3 Aug
anubis13–6-0.0310%3 Aug
dust28–130.0432%3 Aug
inferno2–13-0.076%3 Aug
dust24–13-0.0023%2 Aug
ancient16–14-0.0518%2 Aug
anubis6–11-0.0611%2 Aug
inferno13–11-0.0124%2 Aug
cache13–70.0116%2 Aug
mirage10–13-0.0914%2 Aug
cache13–100.1014%2 Aug
ancient5–13-0.0513%2 Aug
cache14–16-0.0322%30 Jul
mirage13–11-0.0222%30 Jul
mirage13–4-0.0513%28 Jul
inferno12–16-0.0022%28 Jul
dust210–130.0327%28 Jul
dust21–13-0.047%27 Jul
dust213–30.0212%27 Jul
anubis13–1-0.0024%27 Jul
ancient8–13-0.0223%27 Jul
dust27–10.0315%27 Jul
cache13–00.00100%27 Jul
mirage13–9-0.0319%25 Jul
nuke13–8-0.0223%25 Jul
cache13–10.0411%23 Jul
nuke11–13-0.0424%23 Jul
dust29–10.1830%23 Jul
dust213–2-0.0117%23 Jul
mirage13–5-0.0010%22 Jul
dust213–9-0.0513%22 Jul
ancient8–130.0627%22 Jul
mirage8–130.0418%22 Jul
anubis12–160.0024%21 Jul
ancient13–11-0.028%19 Jul
inferno9–13-0.0517%17 Jul
cache11–13-0.047%17 Jul
nuke2–13-0.0419%17 Jul
dust213–70.0222%16 Jul
dust213–10-0.0717%16 Jul
ancient2–13-0.0533%16 Jul
mirage13–20.0018%15 Jul
dust25–13-0.0933%15 Jul
mirage13–100.0118%15 Jul
ancient13–80.0421%15 Jul
ancient13–6-0.0621%11 Jul
inferno13–16-0.0513%11 Jul
nuke13–80.1024%11 Jul
dust215–150.0518%10 Jul
inferno16–120.0210%4 Jul
dust213–10-0.0326%2 Jul
mirage13–100.0620%2 Jul
dust22–130.0327%1 Jul
dust23–13-0.0415%1 Jul
dust212–120.0126%30 Jun
dust24–13-0.0218%19 Jun
dust210–130.0318%7 Jun
ancient13–80.0214%7 Jun
inferno13–90.1121%7 Jun
dust213–10-0.0128%6 Jun
nuke13–30.0318%6 Jun
mirage10–130.0725%6 Jun
mirage13–50.0724%5 Jun
ancient13–60.0516%5 Jun
mirage9–13-0.0717%19 May
dust213–50.0519%19 May
dust213–60.0124%17 May
inferno10–130.0424%17 May
mirage5–5-0.0424%17 May
inferno4–9-0.047%16 May
poseidon8–80.0612%16 May
overpass16–12-0.0214%9 May
ancient13–60.0318%9 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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