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Siberian Hawk

Siberian Hawk — CS2 Stats

76561198191390323[U:1:231124595]Steam profile ↗✓ No bans

1,177Tracked matches25%Win rate2022Tracked since
CSDB Rating1.8 Learning
FaceitLevel 2 · 654 ELOTop 97.9% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGSiberian HawkFACEITLevel 2 · 654 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim7
Positioning39
Utility40

0–100 skill scores via Leetify.

Recent form

COLD30–61–9Last 10030%Win rateLLTWLLWLLW

Last 10 vs previous 10: +20pp win rate · -0.03 avg rating

Player DNA

Aim0.7
Aggression1.9
Utility4.0
Positioning3.9
Opening Duels0.0
Clutch0.8

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 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 32% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 699ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim0.7
Positioning3.9
Utility4.0
Mechanics2.3
Opening Duels0.3
Win Impact0.0

Composite 1.8/10 (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-0.03+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time694ms+28ms
first ⅓ avg 666ms → last ⅓ avg 694ms
Headshot accuracy12.8%+1.9%
first ⅓ avg 10.9% → last ⅓ avg 12.8%

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 — vertigo 8–8
13–0Biggest win — inferno
3Longest win streak
L2Current streak
2–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 40% over 5nukeWeakest map · 26% over 19
MapGradePlayedRecordWin rateAvg rating
nukeD195–1426%-0.04
dust2D165–1131%-0.03
ancientD144–1029%-0.05
infernoC145–936%-0.01
overpassD113–827%-0.03
anubisD72–529%-0.06
mirageC52–340%-0.00
vertigoC52–340%0.02
train—31–233%-0.03
jura—30–30%-0.06
cache—11–0100%-0.06
stronghold—10–10%0.01
agency—10–10%-0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (26% over 19). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

106Matches
43%Win rate
0.64Avg K/D
56.7ADR
33%Headshot %

Clutches & streaks

24%1v1 clutch win
9%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno2357%0.7110.1
Ancient1953%0.6510.3
Nuke1822%0.508.6
Anubis1844%0.679.9
Dust2729%0.6611.4
Train757%0.6110.1
Overpass650%0.7811.7
Vertigo425%0.628.3

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.

12.8%Headshot accuracy
24.8%Accuracy (enemy spotted)
26.3%Spray accuracy
60.5%Counter-strafing
15.9°Preaim
699msReaction time
15.8%T opening success
32.1%CT opening success
0.44Enemies flashed / flash
2.0%Flash assists
11.65HE damage / grenade
5.06Flashes / 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 15.878° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.7581% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4389 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

26% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0617%13 Aug →
ancient5–13-0.0515%13 Aug →
nuke12–12-0.0915%13 Aug →
ancient13–7-0.086%6 Aug →
ancient4–13-0.110%6 Aug →
ancient7–13-0.058%6 Aug →
anubis13–5-0.0710%20 Jul →
nuke2–13-0.088%20 Jul →
dust211–13-0.1110%29 Jun →
cache13–7-0.0611%29 Jun →
anubis1–13-0.068%21 Jun →
anubis7–13-0.0817%23 May →
inferno2–13-0.0024%26 Apr →
ancient6–13-0.0914%26 Apr →
dust212–12-0.0020%26 Apr →
nuke13–16-0.026%8 Mar →
ancient8–13-0.087%8 Mar →
dust26–13-0.0721%8 Mar →
dust216–14-0.0114%8 Mar →
nuke4–13-0.056%8 Mar →
dust27–13-0.056%8 Mar →
inferno16–120.0416%15 Feb →
overpass9–13-0.0614%15 Feb →
mirage13–70.069%7 Feb →
vertigo3–90.0410%24 Jan →
stronghold7–130.0124%24 Jan →
overpass13–7-0.0212%12 Jan →
nuke4–13-0.047%12 Jan →
train1–13-0.1017%12 Jan →
mirage4–13-0.0429%12 Jan →
dust24–130.0614%11 Jan →
vertigo8–80.1817%11 Jan →
train13–90.0112%6 Jan →
train6–130.0113%6 Jan →
nuke13–60.036%2 Jan →
inferno13–8-0.038%2 Jan →
inferno10–13-0.0316%20 Dec →
dust212–12-0.0115%20 Dec →
mirage10–13-0.0117%20 Dec →
overpass13–10-0.0613%20 Dec →
nuke5–13-0.0515%20 Dec →
overpass6–13-0.077%2 Dec →
inferno11–13-0.044%2 Nov →
ancient16–12-0.0210%2 Nov →
nuke2–9-0.070%1 Nov →
overpass9–130.0110%1 Nov →
nuke5–13-0.0718%12 Oct →
overpass7–13-0.0210%12 Oct →
anubis13–5-0.019%12 Oct →
dust25–13-0.0615%12 Oct →
inferno4–13-0.0911%12 Oct →
ancient12–12-0.028%12 Oct →
nuke4–13-0.0510%12 Oct →
ancient13–110.0015%11 Oct →
inferno13–00.1015%11 Oct →
dust212–12-0.0512%11 Oct →
nuke13–40.029%11 Oct →
ancient7–20.0111%11 Oct →
nuke13–6-0.077%4 Oct →
vertigo11–13-0.0316%4 Oct →
dust26–13-0.0323%4 Oct →
dust28–13-0.0312%21 Sept →
overpass11–13-0.018%21 Sept →
anubis5–13-0.098%20 Sept →
ancient0–13-0.094%20 Sept →
inferno6–13-0.082%20 Sept →
nuke2–13-0.080%20 Sept →
nuke9–13-0.0318%14 Sept →
ancient8–13-0.128%14 Sept →
dust213–60.0018%14 Sept →
inferno9–13-0.0710%14 Sept →
mirage13–3-0.006%14 Sept →
dust213–6-0.0414%6 Sept →
overpass11–13-0.0310%6 Sept →
mirage12–12-0.0211%6 Sept →
inferno13–8-0.0714%6 Sept →
dust213–1-0.018%6 Sept →
inferno9–13-0.0410%29 Aug →
nuke13–90.0412%11 Aug →
inferno7–130.0323%11 Aug →
ancient9–13-0.0116%11 Aug →
agency8–13-0.107%11 Aug →
overpass9–40.1012%10 Aug →
overpass1–9-0.1710%10 Aug →
overpass8–8-0.0319%10 Aug →
vertigo9–3-0.0110%10 Aug →
nuke9–5-0.039%10 Aug →
nuke5–9-0.106%10 Aug →
inferno9–00.1710%10 Aug →
vertigo13–8-0.0511%5 Aug →
anubis12–12-0.0510%5 Aug →
ancient4–13-0.007%5 Aug →
jura7–13-0.044%4 Aug →
jura7–13-0.0420%4 Aug →
jura3–13-0.0825%4 Aug →
anubis10–13-0.090%2 Aug →
nuke5–13-0.073%1 Aug →
dust213–10-0.069%1 Aug →
nuke10–13-0.086%1 Aug →
inferno8–13-0.074%1 Aug →

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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