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african anime terrorist

african anime terrorist — CS2 Stats

US76561198376278868[U:1:416013140]Steam profile ↗

2,254Tracked matches41%Win rate2020Tracked since
1,933Hours in CS
CSDB Rating4.6 DevelopingHybrid Rifler
Premier CS Rating13,293Blue band · top ~37.4% of ranked players (population est.)
CSDB Leaderboard#5993 of 8663 tracked
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGafrican anime terroristFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER13,293 · Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning43
Utility46

0–100 skill scores via Leetify.

Recent form

COLD44–42–14Last 10044%Win rateLLLLLWWTLL

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.7
Aggression5.2
Utility4.6
Positioning4.3
Opening Duels0.8

Effective flashes

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

NiKo

Plays most like NiKo 85% playstyle similarity

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

Where you differ: lower positioning profile; 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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 573ms 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

Aim6.7
Positioning4.3
Utility4.6
Mechanics6.2
Opening Duels1.1
Win Impact1.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.03
first ⅓ avg -0.00 → last ⅓ avg -0.03
Reaction time564ms−18ms
first ⅓ avg 581ms → last ⅓ avg 564ms
Headshot accuracy15.5%−1.3%
first ⅓ avg 16.7% → last ⅓ avg 15.5%

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

0.11Best rating — dust2 13–4
13–1Biggest win — dust2
4Longest win streak
L5Current streak
7–9In matches decided by ≤2 rounds

Map breakdown

MapGradePlayedRecordWin rateAvg rating
dust2B9643–5345%-0.01
mirage—30–30%-0.08
shelter—11–0100%0.11

Across the last 100 tracked matches.

Lifetime stats

97,350Lifetime kills
1.12K/D · Top 50% of tracked players
4,550Matches
45.8%Match win rate
38.4%Headshot %
17.9%Shot accuracy · Top 25% of tracked players
12,066MVPs
1,933Hours (in match)
2,795Bombs planted
825Bombs defused

Most-used weapons

AK-4724,458
M4A4 / M4A1-S15,656
AWP12,227
SCAR-206,493
SSG 084,321
P2000 / USP-S3,697
G3SG13,587
Desert Eagle3,493
Galil AR2,223
Glock-182,096

Lifetime map wins

33,929dust2
1,204inferno
908nuke
866office
359vertigo
324train
133cbble
118dust

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

Faceit stats

Combat

115Matches
44%Win rate
1.10Avg K/D
—ADR
34%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWW

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.

16.0%Headshot accuracy
33.0%Accuracy (enemy spotted)
37.7%Spray accuracy
77.8%Counter-strafing
9.0°Preaim
573msReaction time
27.4%T opening success
39.0%CT opening success
0.84Enemies flashed / flash
4.5%Flash assists
1.94HE damage / grenade
11.87Flashes / 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 27.4449% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust23–130.0123%23 Aug →
dust211–13-0.0514%23 Aug →
dust27–13-0.0023%23 Aug →
dust211–13-0.0312%22 Aug →
dust27–130.0615%22 Aug →
dust213–9-0.0011%22 Aug →
dust213–60.0312%21 Aug →
dust212–120.0114%21 Aug →
mirage3–13-0.0914%18 Aug →
dust23–13-0.0316%18 Aug →
dust20–2-0.110%18 Aug →
dust213–11-0.0117%18 Aug →
dust213–7-0.0225%17 Aug →
dust213–8-0.0919%17 Aug →
dust27–13-0.0319%17 Aug →
dust213–11-0.0415%16 Aug →
dust211–13-0.0622%16 Aug →
dust212–5-0.0213%16 Aug →
dust24–13-0.0730%14 Aug →
dust212–120.0210%14 Aug →
dust213–6-0.0413%12 Aug →
dust210–13-0.0723%12 Aug →
dust213–100.1120%11 Aug →
dust211–13-0.0028%11 Aug →
dust212–120.0219%10 Aug →
dust27–7-0.054%10 Aug →
dust213–2-0.044%10 Aug →
dust22–13-0.106%9 Aug →
dust26–13-0.024%9 Aug →
dust210–13-0.0611%8 Aug →
dust29–13-0.079%8 Aug →
dust21–13-0.0538%6 Aug →
dust22–13-0.087%6 Aug →
dust22–13-0.073%1 Aug →
dust213–30.0124%31 Jul →
dust213–110.0011%31 Jul →
dust213–6-0.0227%30 Jul →
dust213–90.0313%30 Jul →
dust24–13-0.0217%28 Jul →
dust213–110.0311%28 Jul →
mirage12–12-0.107%26 Jul →
dust212–12-0.074%26 Jul →
dust212–12-0.006%25 Jul →
dust213–5-0.0218%25 Jul →
dust213–110.0030%25 Jul →
dust29–13-0.028%24 Jul →
dust213–4-0.0314%24 Jul →
dust212–12-0.0112%22 Jul →
dust213–60.0819%22 Jul →
dust213–10-0.069%21 Jul →
dust213–70.0314%21 Jul →
dust23–13-0.076%21 Jul →
mirage11–13-0.0511%19 Jul →
dust213–90.029%19 Jul →
dust213–70.0715%19 Jul →
shelter13–100.1110%16 Jul →
dust27–20.0160%16 Jul →
dust211–13-0.0128%16 Jul →
dust24–13-0.0110%15 Jul →
dust211–13-0.0526%15 Jul →
dust23–13-0.0821%13 Jul →
dust211–13-0.0115%13 Jul →
dust212–12-0.038%11 Jul →
dust28–13-0.0113%11 Jul →
dust213–5-0.026%11 Jul →
dust23–13-0.038%7 Jul →
dust213–60.0512%7 Jul →
dust22–13-0.0620%7 Jul →
dust27–13-0.0111%4 Jul →
dust212–120.019%4 Jul →
dust29–13-0.0610%4 Jul →
dust27–13-0.0715%3 Jul →
dust29–13-0.019%3 Jul →
dust213–11-0.0219%3 Jul →
dust29–13-0.0121%3 Jul →
dust213–100.0214%2 Jul →
dust212–12-0.0123%2 Jul →
dust29–13-0.0223%1 Jul →
dust213–100.0116%30 Jun →
dust213–20.0015%30 Jun →
dust213–10-0.0216%30 Jun →
dust23–13-0.0730%30 Jun →
dust21–13-0.1031%29 Jun →
dust213–5-0.0113%29 Jun →
dust212–12-0.0224%29 Jun →
dust213–100.046%28 Jun →
dust213–10.0512%26 Jun →
dust212–120.0118%26 Jun →
dust213–8-0.0717%25 Jun →
dust213–60.0225%25 Jun →
dust213–30.1025%25 Jun →
dust212–120.0211%24 Jun →
dust213–9-0.017%24 Jun →
dust213–50.1116%23 Jun →
dust27–130.0422%23 Jun →
dust212–12-0.0119%22 Jun →
dust213–40.1119%22 Jun →
dust29–13-0.0711%21 Jun →
dust213–20.0412%21 Jun →
dust213–30.0513%21 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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