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Spokelse

Spokelse — CS2 Stats

NO76561198096397190[U:1:136131462]Steam profile ↗✓ No bans

3,051Tracked matches43%Win rate2020Tracked since
7,206Hours in CS
CSDB Rating5.3 DevelopingHybrid Rifler
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Performance scores

Aim60
Positioning50
Utility69

0–100 skill scores via Leetify.

Recent form

COLD41–56–3Last 10041%Win rateLLWLLWLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim6.0
Aggression4.9
Utility6.9
Positioning5.0
Opening Duels2.3
Clutch4.4

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 88% playstyle similarity

Most alike: utility contribution, 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

Reaction time. 595ms 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

Aim6.0
Positioning5.0
Utility6.9
Mechanics6.5
Opening Duels2.3
Win Impact2.6

Composite 5.3/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time591ms−51ms
first ⅓ avg 642ms → last ⅓ avg 591ms
Headshot accuracy18.1%−1.5%
first ⅓ avg 19.6% → last ⅓ avg 18.1%

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

0.15Best rating — nuke 13–7
13–0Biggest win — overpass
4Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 23% over 22
MapGradePlayedRecordWin rateAvg rating
ancientC2310–1343%-0.01
infernoD225–1723%-0.01
dust2B147–750%-0.01
nukeB137–654%-0.00
mirageB84–450%0.03
overpassC73–443%0.00
anubisA53–260%0.01
vertigo—31–233%0.02
train—31–233%-0.01
cache—10–10%-0.04
rooftop—10–10%-0.18

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (23% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

564,386Lifetime kills
1.51K/D · Top 5% of tracked players
10,395Matches
47.4%Match win rate · Top 50% of tracked players
36.3%Headshot %
16.4%Shot accuracy · Top 25% of tracked players
26,016MVPs
7,206Hours (in match)
10,726Bombs planted
2,663Bombs defused

Most-used weapons

AK-47198,228
M4A4 / M4A1-S124,501
AWP66,874
Desert Eagle39,995
P2000 / USP-S30,108
Glock-1814,583
P25011,432
XM10148,494
Knife8,464
Galil AR6,088

Lifetime map wins

18,504inferno
16,513dust2
11,157nuke
5,643vertigo
5,632train
2,266cbble
1,639office
138italy

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

Faceit stats

Combat

628Matches
52%Win rate
1.13Avg K/D
80.3ADR
45%Headshot %

Clutches & streaks

42%1v1 clutch win
25%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Ancient7864%1.1516.5
Anubis5347%1.1117.0
Nuke5258%1.1716.4
Inferno3560%1.1617.4
Vertigo2442%1.2517.0
Dust22450%1.1716.4
Train1457%1.2714.2
Overpass1233%1.0715.9

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.

18.4%Headshot accuracy
31.0%Accuracy (enemy spotted)
32.0%Spray accuracy
79.1%Counter-strafing
9.6°Preaim
595msReaction time
32.6%T opening success
45.8%CT opening success
0.63Enemies flashed / flash
5.7%Flash assists
9.59HE damage / grenade
18.69Flashes / 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 32.592% — 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.

23% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke7–13-0.057%8 May →
dust29–130.0112%8 May →
inferno13–60.0219%4 May →
anubis6–13-0.0415%4 May →
cache5–13-0.0410%4 May →
anubis13–10-0.0119%24 Apr →
inferno6–130.0022%12 Apr →
vertigo13–110.0624%12 Apr →
vertigo11–130.0312%9 Apr →
mirage8–130.0918%9 Apr →
inferno12–120.0521%6 Apr →
anubis13–40.0318%6 Apr →
train12–120.0019%6 Apr →
anubis13–40.0928%6 Apr →
ancient13–160.0015%30 Mar →
inferno13–80.068%27 Mar →
mirage13–160.0218%27 Mar →
dust27–13-0.0716%20 Mar →
nuke9–13-0.0415%20 Mar →
inferno8–130.0024%12 Mar →
dust213–70.0015%11 Mar →
inferno13–7-0.0124%10 Mar →
ancient13–60.0425%10 Mar →
inferno11–130.0315%8 Mar →
dust213–100.0519%8 Mar →
ancient6–13-0.0314%7 Mar →
inferno13–10-0.0024%7 Mar →
ancient8–130.0114%5 Mar →
inferno7–130.1232%3 Mar →
ancient13–100.0126%3 Mar →
anubis10–13-0.0118%1 Mar →
inferno8–130.0613%1 Mar →
ancient13–10-0.0116%1 Mar →
dust210–13-0.0718%23 Feb →
ancient13–70.0831%11 Feb →
ancient9–13-0.0412%5 Feb →
dust216–14-0.0020%5 Feb →
nuke11–13-0.0316%5 Feb →
dust213–40.0332%28 Jan →
overpass13–8-0.0119%28 Jan →
inferno12–16-0.0128%14 Jan →
ancient11–13-0.0011%7 Jan →
nuke13–10-0.0218%7 Jan →
mirage11–13-0.0421%5 Jan →
dust213–40.1326%5 Jan →
inferno4–13-0.0923%5 Jan →
nuke13–60.059%5 Jan →
nuke13–9-0.0918%3 Jan →
nuke6–13-0.0423%31 Dec →
overpass5–13-0.0814%31 Dec →
inferno13–11-0.0616%31 Dec →
mirage13–20.0914%30 Dec →
overpass13–40.0911%30 Dec →
ancient13–6-0.0717%30 Dec →
inferno8–130.0022%29 Dec →
inferno8–8-0.0526%29 Dec →
rooftop4–9-0.1826%29 Dec →
ancient13–110.0416%28 Dec →
nuke5–13-0.074%18 Dec →
train11–00.0529%18 Dec →
inferno13–16-0.0210%14 Dec →
dust216–19-0.0416%14 Dec →
overpass9–13-0.0312%13 Dec →
dust213–11-0.0016%13 Dec →
ancient9–130.0323%13 Dec →
ancient13–11-0.0610%11 Dec →
dust25–13-0.0127%9 Dec →
mirage13–10.0636%9 Dec →
nuke13–80.0722%9 Dec →
dust27–13-0.0817%7 Dec →
inferno13–16-0.0719%7 Dec →
train8–13-0.0811%6 Dec →
vertigo10–13-0.0216%6 Dec →
ancient13–90.0323%6 Dec →
inferno6–13-0.0518%6 Dec →
nuke5–13-0.0621%5 Dec →
inferno4–13-0.0522%4 Dec →
inferno0–5-0.0414%4 Dec →
ancient8–13-0.0526%4 Dec →
mirage13–100.0617%4 Dec →
ancient10–13-0.0413%4 Dec →
ancient11–13-0.0420%3 Dec →
nuke13–30.0721%3 Dec →
overpass13–00.0722%3 Dec →
ancient8–13-0.0224%3 Dec →
overpass8–13-0.0311%30 Nov →
dust28–13-0.0313%30 Nov →
ancient3–13-0.0414%30 Nov →
ancient6–13-0.0219%29 Nov →
nuke13–70.0013%28 Nov →
ancient13–10.0518%28 Nov →
dust213–100.0121%28 Nov →
mirage6–13-0.0539%28 Nov →
nuke13–70.1518%27 Nov →
inferno8–130.0120%27 Nov →
overpass6–13-0.0129%26 Nov →
mirage13–11-0.0120%26 Nov →
ancient13–20.0726%26 Nov →
inferno9–13-0.0512%26 Nov →
ancient2–13-0.0513%26 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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