tombly

tombly — CS2 Stats

US76561198013979738[U:1:53714010]Steam profile ↗

1,426Tracked matches48%Win rate2020Tracked since
2,203Hours in CS2Hrs last 2 wks
CSDB Rating6.4 SolidAggressive Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGtomblyFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim76
Positioning71
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY52435Last 10052%Win rateLLWWLLWWLT

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.6
Aggression10.0
Utility3.6
Positioning7.1
Opening Duels5.5

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

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 612ms 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

Aim7.6
Positioning7.1
Utility3.6
Mechanics7.8
Opening Duels5.5
Win Impact4.4

Composite 6.4/10 (Solid), 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 rating0.05+0.02
first ⅓ avg 0.03 → last ⅓ avg 0.05
Reaction time614ms−66ms
first ⅓ avg 680ms → last ⅓ avg 614ms
Headshot accuracy19.4%+0.5%
first ⅓ avg 18.9% → last ⅓ avg 19.4%

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

0.27Best rating — cache 8–1
131Biggest win — nuke
7Longest win streak
L2Current streak
107In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 67% over 6vertigoWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB21101148%0.01
cacheB20101050%0.04
infernoA148657%0.05
dust2A148657%0.05
vertigoC104640%0.01
mirageB63350%0.05
anubisS64267%0.07
boulder330100%0.08
train3030%0.04
shelter220100%0.00
fachwerk1010%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

89,989Lifetime kills
1.26K/D · Top 25% of tracked players
4,176Matches
43.1%Match win rate
48.6%Headshot % · Top 50% of tracked players
19.1%Shot accuracy · Top 5% of tracked players
11,013MVPs
1,716Hours (in match)
3,378Bombs planted
649Bombs defused

Most-used weapons

AK-4733,501
AWP7,946
Negev2,628
AUG2,624
Knife2,125
Tec-91,550

Lifetime map wins

8,783dust2
4,390inferno
3,831nuke
1,767vertigo
1,156train
847office
393cbble
197italy

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

Faceit stats

Combat

16Matches
25%Win rate
1.01Avg K/D
ADR
54%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno450%1.1219.0
Anubis333%1.4723.3
Mirage20%0.8211.5
Nuke20%0.8014.5
Vertigo20%0.9717.5
Dust210%0.314.0

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.

19.9%Headshot accuracy
37.6%Accuracy (enemy spotted)
41.5%Spray accuracy
85.1%Counter-strafing
11.3°Preaim
612msReaction time
58.8%T opening success
45.5%CT opening success
0.56Enemies flashed / flash
7.6%Flash assists
5.90HE damage / grenade
5.80Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
cache6–13-0.0330%19 Aug
inferno8–130.1713%11 Aug
vertigo13–80.0410%11 Aug
nuke13–110.0119%10 Aug
vertigo9–130.0326%10 Aug
inferno11–130.1023%10 Aug
nuke13–60.0513%10 Aug
cache13–110.1717%7 Aug
nuke9–130.0427%7 Aug
nuke12–12-0.0317%6 Aug
dust213–110.1023%3 Aug
cache9–130.0522%29 Jul
vertigo9–130.0327%29 Jul
dust213–100.0413%29 Jul
mirage10–130.1018%25 Jul
anubis13–20.1018%25 Jul
nuke13–60.0519%25 Jul
nuke13–10.0619%23 Jul
cache13–30.0019%23 Jul
inferno13–50.1721%22 Jul
anubis13–100.1013%22 Jul
inferno8–130.0128%21 Jul
vertigo6–13-0.0625%21 Jul
nuke13–80.0116%21 Jul
inferno4–130.0224%20 Jul
fachwerk4–13-0.0312%20 Jul
vertigo13–60.0914%20 Jul
inferno8–130.0226%19 Jul
nuke5–130.0421%19 Jul
mirage11–130.0622%19 Jul
anubis13–80.0713%19 Jul
nuke12–120.0216%19 Jul
mirage13–8-0.0115%17 Jul
inferno13–10.0446%17 Jul
cache13–110.0222%17 Jul
cache9–130.0321%13 Jul
dust213–11-0.059%13 Jul
boulder13–20.1011%12 Jul
shelter13–11-0.0116%12 Jul
shelter13–70.0220%11 Jul
boulder13–70.0830%11 Jul
boulder13–50.0845%11 Jul
inferno13–80.0220%11 Jul
nuke6–130.0635%11 Jul
inferno9–70.0719%11 Jul
dust211–130.0915%10 Jul
vertigo3–130.0313%10 Jul
dust213–30.1124%7 Jul
inferno13–70.0016%7 Jul
cache7–13-0.059%7 Jul
cache2–00.0040%6 Jul
anubis11–130.047%6 Jul
cache8–2-0.028%6 Jul
dust210–130.0728%6 Jul
cache13–80.0117%5 Jul
cache7–13-0.0126%4 Jul
nuke5–13-0.0517%4 Jul
nuke5–130.0123%4 Jul
inferno9–130.0218%3 Jul
train2–130.0525%3 Jul
cache13–80.0827%3 Jul
anubis13–80.1014%3 Jul
nuke13–80.0430%3 Jul
mirage13–70.0323%3 Jul
nuke9–130.0238%30 Jun
dust25–13-0.0321%30 Jun
dust213–70.0414%29 Jun
inferno13–70.0615%29 Jun
anubis3–13-0.0110%21 Jun
cache8–130.0117%21 Jun
vertigo4–13-0.0010%21 Jun
inferno13–10-0.0129%21 Jun
vertigo13–7-0.0017%20 Jun
nuke3–13-0.1033%20 Jun
nuke13–9-0.0418%20 Jun
dust213–20.0336%20 Jun
dust211–130.0013%19 Jun
mirage13–80.0813%19 Jun
dust213–110.0426%15 Jun
nuke13–10-0.0429%15 Jun
vertigo13–80.0216%3 Jun
cache11–130.0716%31 May
dust212–120.1120%31 May
inferno13–5-0.0014%29 May
nuke9–8-0.0526%29 May
nuke7–00.1417%29 May
dust25–130.029%26 May
vertigo4–13-0.0810%26 May
cache13–9-0.0115%26 May
nuke3–130.0323%26 May
nuke13–110.0029%25 May
train8–130.0327%25 May
cache12–120.1713%25 May
train12–120.0414%24 May
dust213–100.0719%24 May
cache13–3-0.0413%24 May
cache8–10.279%23 May
cache7–130.0120%23 May
mirage10–130.0221%23 May
cache8–130.0227%22 May

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 →