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Throngle

Throngle — CS2 Stats

US76561198880994864[U:1:920729136]Steam profile ↗✓ No bans

629Tracked matches41%Win rate2020Tracked since
1,323Hours in CS1Hrs last 2 wks
CSDB Rating3.9 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGThrongleFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim42
Positioning39
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY40–57–3Last 10040%Win rateWWWLLWLLLL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim4.2
Aggression2.6
Utility4.7
Positioning3.9
Opening Duels0.0
Clutch2.6

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 74% playstyle similarity

Most alike: utility contribution, 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

Areas to improve

Reaction time. 707ms 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

Aim4.2
Positioning3.9
Utility4.7
Mechanics6.1
Opening Duels0.0
Win Impact2.1

Composite 3.9/10 (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-0.02−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time725ms+6ms
first ⅓ avg 719ms → last ⅓ avg 725ms
Headshot accuracy18.5%−2.6%
first ⅓ avg 21.1% → last ⅓ avg 18.5%

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

0.10Best rating — nuke 13–6
13–2Biggest win — dust2
4Longest win streak
W3Current streak
4–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 50% over 6anubisWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
anubisD164–1225%-0.05
mirageC156–940%-0.02
dust2D154–1127%-0.03
nukeB136–746%-0.01
infernoB115–645%0.01
cacheB63–350%-0.01
overpassC52–340%-0.02
ancient—44–0100%0.01
train—42–250%-0.00
office—32–167%-0.05
vertigo—20–20%-0.01
fachwerk—10–10%-0.01
boulder—11–0100%-0.03
poseidon—11–0100%0.04
debris—10–10%-0.06
alpine—10–10%-0.08
palacio—10–10%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,870Lifetime kills
0.91K/D
1,879Matches
41.8%Match win rate
38.9%Headshot %
15.9%Shot accuracy · Top 25% of tracked players
4,881MVPs
616Hours (in match)
1,997Bombs planted
305Bombs defused

Most-used weapons

AK-478,621
M4A4 / M4A1-S6,052
P2000 / USP-S1,831
Desert Eagle1,694
AWP1,612
Glock-181,333
MP91,150
MAC-10836
MP7590
UMP-45584

Lifetime map wins

1,739dust2
1,557nuke
1,465inferno
1,163vertigo
538train
208office
173cbble
62lake

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

Faceit stats

Combat

60Matches
53%Win rate
1.06Avg K/D
73.2ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage743%0.8914.6
Inferno475%1.7415.0
Dust2250%0.7916.5
Train10%0.5012.0

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.

18.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
35.3%Spray accuracy
77.6%Counter-strafing
12.2°Preaim
707msReaction time
26.1%T opening success
25.7%CT opening success
0.52Enemies flashed / flash
2.4%Flash assists
6.64HE damage / grenade
11.27Flashes / 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 12.1932° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 707.0859ms — above the 700ms mark we flag

    Aim Training →
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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–70.0323%22 Aug →
mirage13–6-0.049%14 Aug →
cache13–10-0.0418%14 Aug →
dust20–10-0.0313%4 Aug →
vertigo7–130.0221%2 Aug →
anubis13–10-0.049%28 Jul →
nuke10–13-0.0116%28 Jul →
anubis4–13-0.0922%26 Jul →
cache9–13-0.0521%26 Jul →
anubis1–13-0.0438%26 Jul →
anubis13–6-0.0610%26 Jul →
mirage11–13-0.0216%26 Jul →
anubis3–13-0.0720%25 Jul →
anubis2–13-0.0720%25 Jul →
anubis6–13-0.0417%25 Jul →
anubis7–13-0.0315%25 Jul →
nuke2–13-0.0627%23 Jul →
dust22–13-0.0836%23 Jul →
fachwerk10–13-0.0118%19 Jul →
ancient13–100.0422%19 Jul →
mirage13–40.0816%19 Jul →
boulder13–10-0.0326%19 Jul →
poseidon9–60.047%13 Jul →
mirage12–12-0.0410%11 Jul →
debris5–9-0.068%11 Jul →
cache4–13-0.0122%11 Jul →
dust213–40.0820%11 Jul →
office13–7-0.026%11 Jul →
cache13–40.0229%10 Jul →
office6–13-0.098%10 Jul →
alpine1–13-0.0814%7 Jul →
office13–9-0.0525%7 Jul →
cache13–70.0225%6 Jul →
nuke13–11-0.0226%18 Jun →
anubis5–13-0.137%18 Jun →
inferno8–130.0111%14 May →
anubis3–13-0.0920%14 May →
cache8–13-0.0121%7 May →
inferno5–13-0.0142%7 May →
inferno5–130.0420%26 Apr →
dust29–13-0.0111%26 Apr →
overpass16–14-0.0311%5 Mar →
mirage13–9-0.0211%4 Mar →
dust25–13-0.1015%2 Mar →
mirage7–13-0.069%2 Mar →
ancient13–10-0.0113%23 Feb →
anubis14–160.0017%1 Feb →
vertigo8–13-0.0423%4 Jan →
inferno13–60.0324%4 Jan →
dust213–80.0212%4 Jan →
dust28–13-0.037%4 Jan →
train12–6-0.0320%4 Jan →
mirage8–13-0.0716%2 Jan →
anubis13–9-0.0126%2 Jan →
palacio12–120.0324%2 Jan →
nuke6–13-0.0510%21 Dec →
nuke4–6-0.0227%30 Oct →
nuke7–13-0.0933%12 Oct →
inferno6–13-0.0228%7 Sept →
mirage13–9-0.0330%23 Jul →
overpass7–13-0.0522%23 Jul →
dust211–13-0.0331%22 Jul →
mirage10–13-0.0725%20 Jul →
nuke13–60.1020%20 Jul →
overpass8–130.0217%20 Jul →
dust213–10-0.0410%19 Jul →
mirage11–130.0112%19 Jul →
overpass13–110.0221%19 Jul →
inferno8–130.0019%19 Jul →
overpass6–13-0.0840%17 Jul →
mirage13–7-0.059%17 Jul →
nuke2–13-0.0812%13 Jul →
mirage10–13-0.0417%13 Jul →
anubis8–13-0.027%13 Jul →
mirage15–150.0419%13 Jul →
dust26–13-0.0414%9 Jul →
nuke13–9-0.0412%9 Jul →
inferno13–70.0222%9 Jul →
nuke16–130.0729%8 Jul →
dust28–13-0.0425%8 Jul →
dust210–13-0.0422%7 Jul →
inferno13–70.0618%7 Jul →
ancient13–11-0.0030%7 Jul →
nuke13–80.0627%7 Jul →
train13–100.0235%7 Jul →
anubis11–13-0.0226%6 Jul →
mirage11–13-0.0434%6 Jul →
anubis16–13-0.0224%6 Jul →
dust213–16-0.0316%6 Jul →
inferno7–13-0.0424%5 Jul →
nuke13–80.0325%5 Jul →
dust213–20.0018%5 Jul →
inferno13–7-0.0536%3 Jul →
nuke5–130.0014%30 Jun →
dust214–16-0.0314%30 Jun →
ancient13–70.0115%30 Jun →
train10–13-0.0118%30 Jun →
train12–160.0128%29 Jun →
anubis8–13-0.0213%28 Jun →
mirage13–100.0213%28 Jun →

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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