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halftimegod — CS2 Stats

76561199015854558[U:1:1055588830]✓ No bans

875Tracked matches40%Win rate2020Tracked since
1,126Hours in CS
CSDB Rating3.3 Learning
Ladder ranks via Leetify

Performance scores

Aim45
Positioning45
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateWLLWLWWWLW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating

Player DNA

Aim4.5
Aggression5.3
Utility4.1
Positioning4.5
Opening Duels1.8
Clutch3.6

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 81% playstyle similarity

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

Where you differ: lower utility contribution; 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. 627ms 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

Aim4.5
Positioning4.5
Utility4.1
Mechanics3.0
Opening Duels1.8
Win Impact1.7

Composite 3.3/10 (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 0.01 → last ⅓ avg -0.02
Reaction time650ms+42ms
first ⅓ avg 609ms → last ⅓ avg 650ms
Headshot accuracy15.9%−2.2%
first ⅓ avg 18.1% → last ⅓ avg 15.9%

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

0.17Best rating — inferno 13–5
13–1Biggest win — inferno
6Longest win streak
12–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 64% over 11infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC3013–1743%-0.02
ancientB2210–1245%-0.02
anubisA127–558%0.00
infernoC125–742%0.01
dust2A117–464%-0.01
vertigo—41–325%-0.02
cache—30–30%-0.02
nuke—33–0100%0.04
jura—10–10%-0.09
grail—11–0100%-0.08
train—10–10%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,787Lifetime kills
1.07K/D · Top 50% of tracked players
2,403Matches
47.1%Match win rate · Top 50% of tracked players
44.4%Headshot %
13.4%Shot accuracy · Top 50% of tracked players
7,118MVPs
1,126Hours (in match)
2,561Bombs planted
636Bombs defused

Most-used weapons

AK-4715,643
AWP13,690
M4A4 / M4A1-S8,490
Desert Eagle5,653
P2000 / USP-S3,336
SSG 081,870
Glock-181,758
Knife1,713
P2501,471
FAMAS1,353

Lifetime map wins

4,932dust2
4,671inferno
2,073nuke
1,387vertigo
1,018train
30office
23cbble
18ar_shoots

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

Faceit stats

Combat

1,879Matches
50%Win rate
1.12Avg K/D
81.0ADR
41%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage22550%1.1216.9
Dust211553%1.1017.2
Ancient9252%1.1116.6
Anubis8551%1.0616.9
Inferno6751%1.0116.2
Nuke3644%0.9714.9
Vertigo2552%1.1915.6
Overpass1338%1.0114.3

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.

17.2%Headshot accuracy
30.4%Accuracy (enemy spotted)
35.0%Spray accuracy
63.4%Counter-strafing
9.4°Preaim
627msReaction time
30.1%T opening success
44.3%CT opening success
0.51Enemies flashed / flash
7.0%Flash assists
8.29HE 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

    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 30.1401% — below the 40% mark we flag

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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–70.0522%9 Aug →
mirage10–13-0.0011%6 Aug →
dust211–130.0420%29 Jun →
mirage13–30.0315%29 Jun →
ancient5–7-0.0522%28 Jun →
ancient13–10-0.0225%17 Jun →
anubis13–11-0.0118%8 Jun →
dust219–170.0122%6 Jun →
inferno7–130.0115%5 Jun →
dust213–10-0.0219%2 Jun →
mirage2–13-0.0313%30 May →
inferno7–13-0.0712%23 May →
mirage13–4-0.0019%10 May →
dust28–130.0121%7 May →
cache4–13-0.0516%6 May →
ancient7–13-0.0511%6 May →
dust216–140.0216%5 May →
cache4–13-0.0515%29 Apr →
cache8–130.0414%26 Apr →
anubis5–13-0.0219%31 Mar →
dust213–110.0023%1 Mar →
anubis13–70.1018%7 Feb →
dust28–13-0.097%29 Jan →
dust213–6-0.0323%9 Jan →
ancient7–13-0.0227%15 Nov →
mirage10–13-0.067%11 Oct →
mirage5–7-0.060%9 Oct →
mirage2–13-0.1219%25 Sept →
inferno13–50.1731%20 Sept →
inferno9–13-0.0710%6 Sept →
mirage9–13-0.075%4 Sept →
jura10–13-0.096%2 Sept →
grail13–5-0.086%30 Aug →
mirage13–100.0715%24 Aug →
mirage2–13-0.080%9 Aug →
mirage13–5-0.056%9 Aug →
inferno13–110.0414%18 Jul →
anubis13–5-0.070%1 Jul →
dust213–9-0.063%26 Jun →
ancient10–130.0029%3 May →
inferno8–13-0.0331%12 Apr →
inferno13–100.0427%20 Mar →
anubis12–16-0.0411%9 Mar →
nuke13–10-0.0111%22 Feb →
mirage13–80.0327%16 Feb →
mirage13–80.0126%12 Feb →
train9–13-0.0226%10 Feb →
anubis13–90.0423%19 Jan →
dust27–13-0.0533%23 Nov →
anubis13–7-0.0310%3 Oct →
ancient3–13-0.088%20 Sept →
ancient10–130.0019%15 Sept →
anubis9–13-0.0115%12 Sept →
mirage14–16-0.0219%8 Sept →
ancient9–130.0122%28 Aug →
mirage2–13-0.0928%24 Aug →
ancient8–13-0.0312%24 Aug →
mirage9–130.0415%6 Aug →
ancient6–13-0.0716%11 Jul →
mirage8–13-0.0116%24 Jun →
vertigo10–130.0023%30 May →
anubis8–13-0.017%7 May →
mirage13–40.1321%6 May →
vertigo5–13-0.0721%22 Apr →
ancient3–13-0.0916%18 Apr →
anubis14–16-0.0428%1 Apr →
ancient7–13-0.0220%21 Feb →
anubis13–40.0419%25 Jan →
ancient13–7-0.078%16 Jan →
vertigo9–130.0122%15 Jan →
ancient22–20-0.0013%15 Jan →
ancient9–13-0.0322%13 Jan →
ancient13–40.028%13 Jan →
mirage13–110.0215%13 Jan →
mirage10–130.0522%7 Jan →
inferno7–130.0310%28 Dec →
mirage13–11-0.0314%27 Dec →
nuke13–40.0424%27 Dec →
mirage13–100.0116%27 Dec →
ancient16–14-0.0213%27 Dec →
ancient13–100.0427%27 Dec →
vertigo13–10-0.0316%27 Dec →
inferno6–130.0021%26 Dec →
mirage13–110.0519%26 Dec →
mirage5–13-0.0426%26 Dec →
mirage7–13-0.0721%26 Dec →
ancient13–30.1320%26 Dec →
mirage13–80.0111%22 Dec →
anubis13–70.0921%22 Dec →
ancient13–50.0012%22 Dec →
mirage11–13-0.0428%22 Dec →
ancient13–70.0115%20 Dec →
mirage9–13-0.0422%20 Dec →
inferno13–10.0121%20 Dec →
mirage13–10-0.0413%20 Dec →
inferno10–130.0042%20 Dec →
mirage6–13-0.0710%19 Dec →
nuke13–80.0820%19 Dec →
ancient13–11-0.0115%19 Dec →
inferno16–140.0315%16 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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